diff --git a/notebooks/nighttime-lights/nighttime-lights-in-jordan.ipynb b/notebooks/nighttime-lights/nighttime-lights-in-jordan.ipynb index bf75c49..5def928 100644 --- a/notebooks/nighttime-lights/nighttime-lights-in-jordan.ipynb +++ b/notebooks/nighttime-lights/nighttime-lights-in-jordan.ipynb @@ -13,7 +13,7 @@ "source": [ "# Nighttime Lights Trends in Jordan\n", "\n", - "The purpose of this notebook is to conduct an examination of the spatial and temporal distribution of artificial lights during the night across various regions in Jordan. The dataset utilized is derived from [NASA's Black Marble](https://blackmarble.gsfc.nasa.gov)." + "The purpose of this notebook is to conduct an examination of the spatial and temporal distribution of nighttime lights, using [NASA Black Marble](https://blackmarble.gsfc.nasa.gov), nationally and across districts in Jordan." ] }, { @@ -37,8 +37,10 @@ "\n", "import colorcet as cc\n", "import geopandas\n", + "import matplotlib as mpl\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", + "import seaborn as sns\n", "from blackmarble.extract import bm_extract\n", "from bokeh.models import HoverTool, Legend, Span, Title\n", "from bokeh.plotting import figure, output_notebook, show\n", @@ -85,9 +87,232 @@ "Define region of interest for which NASA Black Marble will be retrieved and aggregated. We use [GADM](https://gadm.org/)." ] }, + { + "cell_type": "markdown", + "id": "97007348-903b-4cb3-b59e-33d4382b1e08", + "metadata": {}, + "source": [ + "#### Jordan" + ] + }, { "cell_type": "code", "execution_count": 3, + "id": "c233ce89-4241-4544-8f9e-61f748682adf", + "metadata": { + "tags": [ + "hide-input" + ] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
Make this Notebook Trusted to load map: File -> Trust Notebook
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "JOR_0 = geopandas.read_file(\n", + " \"https://geodata.ucdavis.edu/gadm/gadm4.1/json/gadm41_JOR_0.json.zip\"\n", + ")\n", + "JOR_0.explore()" + ] + }, + { + "cell_type": "markdown", + "id": "aedd54b2-6936-47dd-b1c8-7611c6b139b7", + "metadata": { + "tags": [ + "remove-output" + ] + }, + "source": [ + "#### Districts of Jordan (ألوية)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, "id": "5f3f2e01-0886-4ffb-8325-c1d003b071fd", "metadata": { "editable": true, @@ -130,7 +355,7 @@ " <meta name="viewport" content="width=device-width,\n", " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", " <style>\n", - " #map_325f6cdd53ffe12e5cba095e9027fd55 {\n", + " #map_d1f3d7b3ec2febdf79d906ad7277f821 {\n", " position: relative;\n", " width: 100.0%;\n", " height: 100.0%;\n", @@ -160,14 +385,14 @@ "<body>\n", " \n", " \n", - " <div class="folium-map" id="map_325f6cdd53ffe12e5cba095e9027fd55" ></div>\n", + " <div class="folium-map" id="map_d1f3d7b3ec2febdf79d906ad7277f821" ></div>\n", " \n", "</body>\n", "<script>\n", " \n", " \n", - " var map_325f6cdd53ffe12e5cba095e9027fd55 = L.map(\n", - " "map_325f6cdd53ffe12e5cba095e9027fd55",\n", + " var map_d1f3d7b3ec2febdf79d906ad7277f821 = L.map(\n", + " "map_d1f3d7b3ec2febdf79d906ad7277f821",\n", " {\n", " center: [31.2758, 37.129850000000005],\n", " crs: L.CRS.EPSG3857,\n", @@ -176,79 +401,79 @@ " preferCanvas: false,\n", " }\n", " );\n", - " L.control.scale().addTo(map_325f6cdd53ffe12e5cba095e9027fd55);\n", + " L.control.scale().addTo(map_d1f3d7b3ec2febdf79d906ad7277f821);\n", "\n", " \n", "\n", " \n", " \n", - " var tile_layer_339cd7f62eb139c466ef595c662bb582 = L.tileLayer(\n", + " var tile_layer_750634af137757f0f67faca6c3bf4002 = L.tileLayer(\n", " "https://tile.openstreetmap.org/{z}/{x}/{y}.png",\n", " {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors", "detectRetina": false, "maxNativeZoom": 19, "maxZoom": 19, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", " );\n", " \n", " \n", - " tile_layer_339cd7f62eb139c466ef595c662bb582.addTo(map_325f6cdd53ffe12e5cba095e9027fd55);\n", + " tile_layer_750634af137757f0f67faca6c3bf4002.addTo(map_d1f3d7b3ec2febdf79d906ad7277f821);\n", " \n", " \n", - " map_325f6cdd53ffe12e5cba095e9027fd55.fitBounds(\n", + " map_d1f3d7b3ec2febdf79d906ad7277f821.fitBounds(\n", " [[29.1834, 34.9576], [33.3682, 39.3021]],\n", " {}\n", " );\n", " \n", " \n", - " function geo_json_fca1d79999e804e20eada94fc61795c7_styler(feature) {\n", + " function geo_json_1a95b9a99d66d4a1ca880c0e3d349d0e_styler(feature) {\n", " switch(feature.id) {\n", " default:\n", " return {"fillOpacity": 0.5, "weight": 2};\n", " }\n", " }\n", - " function geo_json_fca1d79999e804e20eada94fc61795c7_highlighter(feature) {\n", + " function geo_json_1a95b9a99d66d4a1ca880c0e3d349d0e_highlighter(feature) {\n", " switch(feature.id) {\n", " default:\n", " return {"fillOpacity": 0.75};\n", " }\n", " }\n", - " function geo_json_fca1d79999e804e20eada94fc61795c7_pointToLayer(feature, latlng) {\n", + " function geo_json_1a95b9a99d66d4a1ca880c0e3d349d0e_pointToLayer(feature, latlng) {\n", " var opts = {"bubblingMouseEvents": true, "color": "#3388ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3388ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3};\n", " \n", - " let style = geo_json_fca1d79999e804e20eada94fc61795c7_styler(feature)\n", + " let style = geo_json_1a95b9a99d66d4a1ca880c0e3d349d0e_styler(feature)\n", " Object.assign(opts, style)\n", " \n", " return new L.CircleMarker(latlng, opts)\n", " }\n", "\n", - " function geo_json_fca1d79999e804e20eada94fc61795c7_onEachFeature(feature, layer) {\n", + " function geo_json_1a95b9a99d66d4a1ca880c0e3d349d0e_onEachFeature(feature, layer) {\n", " layer.on({\n", " mouseout: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " geo_json_fca1d79999e804e20eada94fc61795c7.resetStyle(e.target);\n", + " geo_json_1a95b9a99d66d4a1ca880c0e3d349d0e.resetStyle(e.target);\n", " }\n", " },\n", " mouseover: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " const highlightStyle = geo_json_fca1d79999e804e20eada94fc61795c7_highlighter(e.target.feature)\n", + " const highlightStyle = geo_json_1a95b9a99d66d4a1ca880c0e3d349d0e_highlighter(e.target.feature)\n", " e.target.setStyle(highlightStyle);\n", " }\n", " },\n", " });\n", " };\n", - " var geo_json_fca1d79999e804e20eada94fc61795c7 = L.geoJson(null, {\n", - " onEachFeature: geo_json_fca1d79999e804e20eada94fc61795c7_onEachFeature,\n", + " var geo_json_1a95b9a99d66d4a1ca880c0e3d349d0e = L.geoJson(null, {\n", + " onEachFeature: geo_json_1a95b9a99d66d4a1ca880c0e3d349d0e_onEachFeature,\n", " \n", - " style: geo_json_fca1d79999e804e20eada94fc61795c7_styler,\n", - " pointToLayer: geo_json_fca1d79999e804e20eada94fc61795c7_pointToLayer,\n", + " style: geo_json_1a95b9a99d66d4a1ca880c0e3d349d0e_styler,\n", + " pointToLayer: geo_json_1a95b9a99d66d4a1ca880c0e3d349d0e_pointToLayer,\n", " });\n", "\n", - " function geo_json_fca1d79999e804e20eada94fc61795c7_add (data) {\n", - " geo_json_fca1d79999e804e20eada94fc61795c7\n", + " function geo_json_1a95b9a99d66d4a1ca880c0e3d349d0e_add (data) {\n", + " geo_json_1a95b9a99d66d4a1ca880c0e3d349d0e\n", " .addData(data);\n", " }\n", - " geo_json_fca1d79999e804e20eada94fc61795c7_add({"bbox": [34.9576, 29.1834, 39.3021, 33.3682], "features": [{"bbox": [35.667, 32.2012, 35.9672, 32.4205], "geometry": {"coordinates": [[[[35.7861, 32.2012], [35.7833, 32.2134], [35.7841, 32.2198], [35.7926, 32.2472], [35.7987, 32.2565], [35.7995, 32.26], [35.7991, 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[36.4845, 32.0836], [36.4824, 32.0682], [36.4724, 32.054], [36.4219, 32.0116]]]], "type": "MultiPolygon"}, "id": "51", "properties": {"CC_2": "NA", "COUNTRY": "Jordan", "ENGTYPE_2": "Sub-Province", "GID_0": "JOR", "GID_1": "JOR.12_1", "GID_2": "JOR.12.3_1", "HASC_2": "JO.AZ.AZ", "NAME_1": "Zarqa", "NAME_2": "Zarqa", "NL_NAME_1": "NA", "NL_NAME_2": "NA", "TYPE_2": "Nahia", "VARNAME_2": "Az-Zarqa"}, "type": "Feature"}], "type": "FeatureCollection"});\n", "\n", " \n", " \n", - " geo_json_fca1d79999e804e20eada94fc61795c7.bindTooltip(\n", + " geo_json_1a95b9a99d66d4a1ca880c0e3d349d0e.bindTooltip(\n", " function(layer){\n", " let div = L.DomUtil.create('div');\n", " \n", @@ -272,25 +497,25 @@ " ,{"className": "foliumtooltip", "sticky": true});\n", " \n", " \n", - " geo_json_fca1d79999e804e20eada94fc61795c7.addTo(map_325f6cdd53ffe12e5cba095e9027fd55);\n", + " geo_json_1a95b9a99d66d4a1ca880c0e3d349d0e.addTo(map_d1f3d7b3ec2febdf79d906ad7277f821);\n", " \n", "</script>\n", "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>" ], "text/plain": [ - "" + "" ] }, - "execution_count": 3, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "ROI = geopandas.read_file(\n", + "JOR_2 = geopandas.read_file(\n", " \"https://geodata.ucdavis.edu/gadm/gadm4.1/json/gadm41_JOR_2.json.zip\"\n", ")\n", - "ROI.explore()" + "JOR_2.explore()" ] }, { @@ -300,12 +525,20 @@ "source": [ "### Black Marble \n", "\n", - "[NASA's Black Marble](https://blackmarble.gsfc.nasa.gov) Nighttime Lights dataset represents a remarkable advancement in our ability to monitor and understand nocturnal light emissions on a global scale. By utilizing cutting-edge satellite technology and image processing techniques, the Black Marble dataset offers a comprehensive and high-resolution view of the Earth's nighttime illumination patterns." + "[NASA's Black Marble](https://blackmarble.gsfc.nasa.gov) represents a remarkable advancement in our ability to monitor and understand nocturnal light emissions on a global scale. By utilizing cutting-edge satellite technology and image processing techniques, the Black Marble dataset offers a comprehensive and high-resolution view of the Earth's nighttime illumination patterns. To obtain the raster data conveniently and calculate zonal statistics, we use the [BlackMarblePy](https://worldbank.github.io/blackmarblepy/README.html) {cite}`10.5281/zenodo.10667925` package developed by the World Bank." + ] + }, + { + "cell_type": "markdown", + "id": "6428782a-bfd2-4ce6-b582-8e3349de2faa", + "metadata": {}, + "source": [ + "#### Downloading VNP46A2 (Daily)" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "id": "110815d3-2570-4a0e-b287-6239cf3c46f4", "metadata": { "editable": true, @@ -313,20 +546,4254 @@ "slide_type": "" }, "tags": [ - "remove-output", - "hide-input" + "remove-output" ] }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1fec69679f2e45c28e19b23142493aee", + "model_id": "af268a3c379c4fbea620727982b404ae", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "GETTING MANIFEST...: 0%| | 0/4 [00:002.872636\n", " 6.504966\n", " \n", + " \n", + " 2024-02-11\n", + " 7.073317\n", + " 16.995336\n", + " 1.132566\n", + " 12.161524\n", + " 15.262148\n", + " 6.569613\n", + " 3.005733\n", + " 1.747079\n", + " 2.878806\n", + " 4.823398\n", + " 1.747239\n", + " 8.061008\n", + " \n", " \n", "\n", "" @@ -17526,6 +21248,7 @@ "2024-01-21 5.995695 15.131319 1.273858 10.030166 15.861356 6.117911 \n", "2024-01-28 8.296833 16.189207 0.982500 11.921734 13.485584 9.709556 \n", "2024-02-04 7.041361 14.315559 1.113992 12.715988 14.829829 7.342199 \n", + "2024-02-11 7.073317 16.995336 1.132566 12.161524 15.262148 6.569613 \n", "\n", " \n", "NAME_1 Karak Ma`an Madaba Mafraq Tafilah Zarqa \n", @@ -17587,10 +21310,11 @@ "2024-01-14 4.276449 2.100772 3.290307 4.449964 2.267988 7.245366 \n", "2024-01-21 3.092834 2.009539 4.208126 6.031729 2.083615 7.506417 \n", "2024-01-28 2.761093 1.732280 3.207788 3.664505 2.147136 7.969058 \n", - "2024-02-04 2.562630 1.891801 3.241188 3.429573 2.872636 6.504966 " + "2024-02-04 2.562630 1.891801 3.241188 3.429573 2.872636 6.504966 \n", + "2024-02-11 3.005733 1.747079 2.878806 4.823398 1.747239 8.061008 " ] }, - "execution_count": 7, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -17626,7 +21350,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 10, "id": "7f14a501-f0c0-4a98-8123-32e2dad20f94", "metadata": { "editable": true, @@ -17644,7 +21368,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "id": "3a0390f3-2d52-4a37-9df6-cf05fdaa9517", "metadata": { "editable": true, @@ -17669,7 +21393,7 @@ " \n", "
\n", " \n", - " Loading BokehJS ...\n", + " Loading BokehJS ...\n", "
\n" ] }, @@ -17678,8 +21402,292 @@ }, { "data": { - "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\nconst JS_MIME_TYPE = 'application/javascript';\n const HTML_MIME_TYPE = 'text/html';\n const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n const CLASS_NAME = 'output_bokeh rendered_html';\n\n /**\n * Render data to the DOM node\n */\n function render(props, node) {\n const script = document.createElement(\"script\");\n node.appendChild(script);\n }\n\n /**\n * Handle when an output is cleared or removed\n */\n function handleClearOutput(event, handle) {\n function drop(id) {\n const view = Bokeh.index.get_by_id(id)\n if (view != null) {\n view.model.document.clear()\n Bokeh.index.delete(view)\n }\n }\n\n const cell = handle.cell;\n\n const id = cell.output_area._bokeh_element_id;\n const server_id = cell.output_area._bokeh_server_id;\n\n // Clean up Bokeh references\n if (id != null) {\n drop(id)\n }\n\n if (server_id !== undefined) {\n // Clean up Bokeh references\n const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n cell.notebook.kernel.execute(cmd_clean, {\n iopub: {\n output: function(msg) {\n const id = msg.content.text.trim()\n drop(id)\n }\n }\n });\n // Destroy server and session\n const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n cell.notebook.kernel.execute(cmd_destroy);\n }\n }\n\n /**\n * Handle when a new output is added\n */\n function handleAddOutput(event, handle) {\n const output_area = handle.output_area;\n const output = handle.output;\n\n // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n return\n }\n\n const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n // store reference to embed id on output_area\n output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n }\n if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n const bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n const script_attrs = bk_div.children[0].attributes;\n for (let i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n }\n\n function register_renderer(events, OutputArea) {\n\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n const toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[toinsert.length - 1]);\n element.append(toinsert);\n return toinsert\n }\n\n /* Handle when an output is cleared or removed */\n events.on('clear_output.CodeCell', handleClearOutput);\n events.on('delete.Cell', handleClearOutput);\n\n /* Handle when a new output is added */\n events.on('output_added.OutputArea', handleAddOutput);\n\n /**\n * Register the mime type and append_mime function with output_area\n */\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n /* Is output safe? */\n safe: true,\n /* Index of renderer in `output_area.display_order` */\n index: 0\n });\n }\n\n // register the mime type if in Jupyter Notebook environment and previously unregistered\n if (root.Jupyter !== undefined) {\n const events = require('base/js/events');\n const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n }\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(\"c46ab863-d436-4008-bfc0-b62d1cf6c524\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.3.4.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\nif (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(\"c46ab863-d436-4008-bfc0-b62d1cf6c524\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));", - "application/vnd.bokehjs_load.v0+json": "" + "application/javascript": [ + "(function(root) {\n", + " function now() {\n", + " return new Date();\n", + " }\n", + "\n", + " const force = true;\n", + "\n", + " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", + " root._bokeh_onload_callbacks = [];\n", + " root._bokeh_is_loading = undefined;\n", + " }\n", + "\n", + "const JS_MIME_TYPE = 'application/javascript';\n", + " const HTML_MIME_TYPE = 'text/html';\n", + " const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n", + " const CLASS_NAME = 'output_bokeh rendered_html';\n", + "\n", + " /**\n", + " * Render data to the DOM node\n", + " */\n", + " function render(props, node) {\n", + " const script = document.createElement(\"script\");\n", + " node.appendChild(script);\n", + " }\n", + "\n", + " /**\n", + " * Handle when an output is cleared or removed\n", + " */\n", + " function handleClearOutput(event, handle) {\n", + " function drop(id) {\n", + " const view = Bokeh.index.get_by_id(id)\n", + " if (view != null) {\n", + " view.model.document.clear()\n", + " Bokeh.index.delete(view)\n", + " }\n", + " }\n", + "\n", + " const cell = handle.cell;\n", + "\n", + " const id = cell.output_area._bokeh_element_id;\n", + " const server_id = cell.output_area._bokeh_server_id;\n", + "\n", + " // Clean up Bokeh references\n", + " if (id != null) {\n", + " drop(id)\n", + " }\n", + "\n", + " if (server_id !== undefined) {\n", + " // Clean up Bokeh references\n", + " const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n", + " cell.notebook.kernel.execute(cmd_clean, {\n", + " iopub: {\n", + " output: function(msg) {\n", + " const id = msg.content.text.trim()\n", + " drop(id)\n", + " }\n", + " }\n", + " });\n", + " // Destroy server and session\n", + " const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n", + " cell.notebook.kernel.execute(cmd_destroy);\n", + " }\n", + " }\n", + "\n", + " /**\n", + " * Handle when a new output is added\n", + " */\n", + " function handleAddOutput(event, handle) {\n", + " const output_area = handle.output_area;\n", + " const output = handle.output;\n", + "\n", + " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n", + " if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n", + " return\n", + " }\n", + "\n", + " const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", + "\n", + " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n", + " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n", + " // store reference to embed id on output_area\n", + " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", + " }\n", + " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", + " const bk_div = document.createElement(\"div\");\n", + " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", + " const script_attrs = bk_div.children[0].attributes;\n", + " for (let i = 0; i < script_attrs.length; i++) {\n", + " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", + " toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n", + " }\n", + " // store reference to server id on output_area\n", + " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", + " }\n", + " }\n", + "\n", + " function register_renderer(events, OutputArea) {\n", + "\n", + " function append_mime(data, metadata, element) {\n", + " // create a DOM node to render to\n", + " const toinsert = this.create_output_subarea(\n", + " metadata,\n", + " CLASS_NAME,\n", + " EXEC_MIME_TYPE\n", + " );\n", + " this.keyboard_manager.register_events(toinsert);\n", + " // Render to node\n", + " const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", + " render(props, toinsert[toinsert.length - 1]);\n", + " element.append(toinsert);\n", + " return toinsert\n", + " }\n", + "\n", + " /* Handle when an output is cleared or removed */\n", + " events.on('clear_output.CodeCell', handleClearOutput);\n", + " events.on('delete.Cell', handleClearOutput);\n", + "\n", + " /* Handle when a new output is added */\n", + " events.on('output_added.OutputArea', handleAddOutput);\n", + "\n", + " /**\n", + " * Register the mime type and append_mime function with output_area\n", + " */\n", + " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", + " /* Is output safe? */\n", + " safe: true,\n", + " /* Index of renderer in `output_area.display_order` */\n", + " index: 0\n", + " });\n", + " }\n", + "\n", + " // register the mime type if in Jupyter Notebook environment and previously unregistered\n", + " if (root.Jupyter !== undefined) {\n", + " const events = require('base/js/events');\n", + " const OutputArea = require('notebook/js/outputarea').OutputArea;\n", + "\n", + " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", + " register_renderer(events, OutputArea);\n", + " }\n", + " }\n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", + " root._bokeh_timeout = Date.now() + 5000;\n", + " root._bokeh_failed_load = false;\n", + " }\n", + "\n", + " const NB_LOAD_WARNING = {'data': {'text/html':\n", + " \"
\\n\"+\n", + " \"

\\n\"+\n", + " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", + " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", + " \"

\\n\"+\n", + " \"
    \\n\"+\n", + " \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n", + " \"
  • use INLINE resources instead, as so:
    • \\n\"+\n", + " \"
\\n\"+\n", + " \"\\n\"+\n", + " \"from bokeh.resources import INLINE\\n\"+\n", + " \"output_notebook(resources=INLINE)\\n\"+\n", + " \"\\n\"+\n", + " \"
\"}};\n", + "\n", + " function display_loaded() {\n", + " const el = document.getElementById(\"d6c9e859-e37d-4cc4-9ed7-15887dac341a\");\n", + " if (el != null) {\n", + " el.textContent = \"BokehJS is loading...\";\n", + " }\n", + " if (root.Bokeh !== undefined) {\n", + " if (el != null) {\n", + " el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n", + " }\n", + " } else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(display_loaded, 100)\n", + " }\n", + " }\n", + "\n", + " function run_callbacks() {\n", + " try {\n", + " root._bokeh_onload_callbacks.forEach(function(callback) {\n", + " if (callback != null)\n", + " callback();\n", + " });\n", + " } finally {\n", + " delete root._bokeh_onload_callbacks\n", + " }\n", + " console.debug(\"Bokeh: all callbacks have finished\");\n", + " }\n", + "\n", + " function load_libs(css_urls, js_urls, callback) {\n", + " if (css_urls == null) css_urls = [];\n", + " if (js_urls == null) js_urls = [];\n", + "\n", + " root._bokeh_onload_callbacks.push(callback);\n", + " if (root._bokeh_is_loading > 0) {\n", + " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", + " return null;\n", + " }\n", + " if (js_urls == null || js_urls.length === 0) {\n", + " run_callbacks();\n", + " return null;\n", + " }\n", + " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", + " root._bokeh_is_loading = css_urls.length + js_urls.length;\n", + "\n", + " function on_load() {\n", + " root._bokeh_is_loading--;\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", + " run_callbacks()\n", + " }\n", + " }\n", + "\n", + " function on_error(url) {\n", + " console.error(\"failed to load \" + url);\n", + " }\n", + "\n", + " for (let i = 0; i < css_urls.length; i++) {\n", + " const url = css_urls[i];\n", + " const element = document.createElement(\"link\");\n", + " element.onload = on_load;\n", + " element.onerror = on_error.bind(null, url);\n", + " element.rel = \"stylesheet\";\n", + " element.type = \"text/css\";\n", + " element.href = url;\n", + " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " for (let i = 0; i < js_urls.length; i++) {\n", + " const url = js_urls[i];\n", + " const element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error.bind(null, url);\n", + " element.async = false;\n", + " element.src = url;\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " };\n", + "\n", + " function inject_raw_css(css) {\n", + " const element = document.createElement(\"style\");\n", + " element.appendChild(document.createTextNode(css));\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.3.4.min.js\"];\n", + " const css_urls = [];\n", + "\n", + " const inline_js = [ function(Bokeh) {\n", + " Bokeh.set_log_level(\"info\");\n", + " },\n", + "function(Bokeh) {\n", + " }\n", + " ];\n", + "\n", + " function run_inline_js() {\n", + " if (root.Bokeh !== undefined || force === true) {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", + " inline_js[i].call(root, root.Bokeh);\n", + " }\n", + "if (force === true) {\n", + " display_loaded();\n", + " }} else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(run_inline_js, 100);\n", + " } else if (!root._bokeh_failed_load) {\n", + " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", + " root._bokeh_failed_load = true;\n", + " } else if (force !== true) {\n", + " const cell = $(document.getElementById(\"d6c9e859-e37d-4cc4-9ed7-15887dac341a\")).parents('.cell').data().cell;\n", + " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", + " }\n", + " }\n", + "\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n", + " run_inline_js();\n", + " } else {\n", + " load_libs(css_urls, js_urls, function() {\n", + " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", + " run_inline_js();\n", + " });\n", + " }\n", + "}(window));" + ], + "application/vnd.bokehjs_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(\"d6c9e859-e37d-4cc4-9ed7-15887dac341a\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.3.4.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\nif (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(\"d6c9e859-e37d-4cc4-9ed7-15887dac341a\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" }, "metadata": {}, "output_type": "display_data" @@ -17688,7 +21696,7 @@ "data": { "text/html": [ "\n", - "
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(@x{%F})\"],[\"Radiance\",\"@y{0.00}\"]],\"formatters\":{\"type\":\"map\",\"entries\":[[\"@x\",\"datetime\"]]}}}]}},\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1030\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1031\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1032\"},\"axis_label\":\"Radiance [nW $$cm^{-2}$$ $$sr^{-1}$$]\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1033\"}}}],\"right\":[{\"type\":\"object\",\"name\":\"Legend\",\"id\":\"p1053\",\"attributes\":{\"location\":\"bottom_left\",\"click_policy\":\"mute\",\"items\":[{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1064\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"Ajlun\"},\"renderers\":[{\"id\":\"p1061\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1074\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"Amman\"},\"renderers\":[{\"id\":\"p1071\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1084\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"Aqaba\"},\"renderers\":[{\"id\":\"p1081\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1094\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"Balqa\"},\"renderers\":[{\"id\":\"p1091\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1104\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"Irbid\"},\"renderers\":[{\"id\":\"p1101\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1114\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"Jarash\"},\"renderers\":[{\"id\":\"p1111\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1124\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"Karak\"},\"renderers\":[{\"id\":\"p1121\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1134\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"Ma`an\"},\"renderers\":[{\"id\":\"p1131\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1144\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"Madaba\"},\"renderers\":[{\"id\":\"p1141\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1154\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"Mafraq\"},\"renderers\":[{\"id\":\"p1151\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1164\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"Tafilah\"},\"renderers\":[{\"id\":\"p1161\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1174\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"Zarqa\"},\"renderers\":[{\"id\":\"p1171\"}]}}]}}],\"above\":[{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1051\",\"attributes\":{\"text\":\"Weekly Average Radiance since 2023\",\"text_font_size\":\"12pt\",\"text_font_style\":\"italic\"}}],\"below\":[{\"type\":\"object\",\"name\":\"DatetimeAxis\",\"id\":\"p1013\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"DatetimeTicker\",\"id\":\"p1014\",\"attributes\":{\"num_minor_ticks\":5,\"tickers\":[{\"type\":\"object\",\"name\":\"AdaptiveTicker\",\"id\":\"p1015\",\"attributes\":{\"num_minor_ticks\":0,\"mantissas\":[1,2,5],\"max_interval\":500.0}},{\"type\":\"object\",\"name\":\"AdaptiveTicker\",\"id\":\"p1016\",\"attributes\":{\"num_minor_ticks\":0,\"base\":60,\"mantissas\":[1,2,5,10,15,20,30],\"min_interval\":1000.0,\"max_interval\":1800000.0}},{\"type\":\"object\",\"name\":\"AdaptiveTicker\",\"id\":\"p1017\",\"attributes\":{\"num_minor_ticks\":0,\"base\":24,\"mantissas\":[1,2,4,6,8,12],\"min_interval\":3600000.0,\"max_interval\":43200000.0}},{\"type\":\"object\",\"name\":\"DaysTicker\",\"id\":\"p1018\",\"attributes\":{\"days\":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]}},{\"type\":\"object\",\"name\":\"DaysTicker\",\"id\":\"p1019\",\"attributes\":{\"days\":[1,4,7,10,13,16,19,22,25,28]}},{\"type\":\"object\",\"name\":\"DaysTicker\",\"id\":\"p1020\",\"attributes\":{\"days\":[1,8,15,22]}},{\"type\":\"object\",\"name\":\"DaysTicker\",\"id\":\"p1021\",\"attributes\":{\"days\":[1,15]}},{\"type\":\"object\",\"name\":\"MonthsTicker\",\"id\":\"p1022\",\"attributes\":{\"months\":[0,1,2,3,4,5,6,7,8,9,10,11]}},{\"type\":\"object\",\"name\":\"MonthsTicker\",\"id\":\"p1023\",\"attributes\":{\"months\":[0,2,4,6,8,10]}},{\"type\":\"object\",\"name\":\"MonthsTicker\",\"id\":\"p1024\",\"attributes\":{\"months\":[0,4,8]}},{\"type\":\"object\",\"name\":\"MonthsTicker\",\"id\":\"p1025\",\"attributes\":{\"months\":[0,6]}},{\"type\":\"object\",\"name\":\"YearsTicker\",\"id\":\"p1026\"}]}},\"formatter\":{\"type\":\"object\",\"name\":\"DatetimeTickFormatter\",\"id\":\"p1027\"},\"axis_label\":\"Date\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1028\"}}},{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1052\",\"attributes\":{\"text\":\"Data Source: NASA Black Marble. Creation date: 20 February 2024. Feedback: datalab@worldbank.org.\",\"text_font_size\":\"10pt\",\"text_font_style\":\"italic\"}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1029\",\"attributes\":{\"axis\":{\"id\":\"p1013\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1034\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1030\"}}}]}}]}};\n", + " const render_items = [{\"docid\":\"84a58583-1769-44d2-87b2-f2410401c15d\",\"roots\":{\"p1001\":\"ced37676-58f7-47ed-8941-5425934a0bb9\"},\"root_ids\":[\"p1001\"]}];\n", + " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", + " }\n", + " if (root.Bokeh !== undefined) {\n", + " embed_document(root);\n", + " } else {\n", + " let attempts = 0;\n", + " const timer = setInterval(function(root) {\n", + " if (root.Bokeh !== undefined) {\n", + " clearInterval(timer);\n", + " embed_document(root);\n", + " } else {\n", + " attempts++;\n", + " if (attempts > 100) {\n", + " clearInterval(timer);\n", + " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n", + " }\n", + " }\n", + " }, 10, root)\n", + " }\n", + "})(window);" + ], "application/vnd.bokehjs_exec.v0+json": "" }, "metadata": { @@ -17756,7 +21789,7 @@ " )\n", " r.muted = True\n", " renderers.append(r)\n", - " except:\n", + " except Exception:\n", " pass\n", "\n", "renderers[0].muted = False\n", @@ -17795,7 +21828,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 12, "id": "199620d1-a03f-4eb5-8bbc-9c625b01bec7", "metadata": { "editable": true, @@ -17808,17 +21841,17 @@ }, "outputs": [], "source": [ - "JO_1_monthly_VNP46A2 = (\n", + "JO_1_VNP46A2_MS = (\n", " VNP46A2.pivot_table(index=\"date\", columns=[\"NAME_1\"], values=[VAR], aggfunc=\"mean\")\n", " .resample(\"MS\", label=\"left\")\n", " .mean()\n", ")\n", - "JO_1_monthly_VNP46A2.to_csv(\"../../data/ntl/JOR_1-VNP46A2-MS-zs.csv\")" + "JO_1_VNP46A2_MS.to_csv(\"../../data/ntl/JOR_1-VNP46A2-MS-zs.csv\")" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "id": "1d283fbf-7651-46a8-a6f8-2af16a404e34", "metadata": { "editable": true, @@ -17831,17 +21864,17 @@ }, "outputs": [], "source": [ - "JO_1_monthly_VNP46A3 = (\n", + "JO_1_VNP46A3_MS = (\n", " VNP46A3.pivot_table(index=\"date\", columns=[\"NAME_1\"], values=[VAR], aggfunc=\"mean\")\n", " .resample(\"MS\", label=\"left\")\n", " .mean()\n", ")\n", - "JO_1_monthly_VNP46A3.to_csv(\"../../data/ntl/JOR_1-VNP46A3-MS-zs.csv\")" + "JO_1_VNP46A3_MS.to_csv(\"../../data/ntl/JOR_1-VNP46A3-MS-zs.csv\")" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "id": "0c1bacbb-6100-49ee-be6d-de99b2a04c5e", "metadata": { "editable": true, @@ -17866,7 +21899,7 @@ " \n", "
\n", " \n", - " Loading BokehJS ...\n", + " Loading BokehJS ...\n", "
\n" ] }, @@ -17875,8 +21908,292 @@ }, { "data": { - "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\nconst JS_MIME_TYPE = 'application/javascript';\n const HTML_MIME_TYPE = 'text/html';\n const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n const CLASS_NAME = 'output_bokeh rendered_html';\n\n /**\n * Render data to the DOM node\n */\n function render(props, node) {\n const script = document.createElement(\"script\");\n node.appendChild(script);\n }\n\n /**\n * Handle when an output is cleared or removed\n */\n function handleClearOutput(event, handle) {\n function drop(id) {\n const view = Bokeh.index.get_by_id(id)\n if (view != null) {\n view.model.document.clear()\n Bokeh.index.delete(view)\n }\n }\n\n const cell = handle.cell;\n\n const id = cell.output_area._bokeh_element_id;\n const server_id = cell.output_area._bokeh_server_id;\n\n // Clean up Bokeh references\n if (id != null) {\n drop(id)\n }\n\n if (server_id !== undefined) {\n // Clean up Bokeh references\n const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n cell.notebook.kernel.execute(cmd_clean, {\n iopub: {\n output: function(msg) {\n const id = msg.content.text.trim()\n drop(id)\n }\n }\n });\n // Destroy server and session\n const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n cell.notebook.kernel.execute(cmd_destroy);\n }\n }\n\n /**\n * Handle when a new output is added\n */\n function handleAddOutput(event, handle) {\n const output_area = handle.output_area;\n const output = handle.output;\n\n // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n return\n }\n\n const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n // store reference to embed id on output_area\n output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n }\n if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n const bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n const script_attrs = bk_div.children[0].attributes;\n for (let i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n }\n\n function register_renderer(events, OutputArea) {\n\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n const toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[toinsert.length - 1]);\n element.append(toinsert);\n return toinsert\n }\n\n /* Handle when an output is cleared or removed */\n events.on('clear_output.CodeCell', handleClearOutput);\n events.on('delete.Cell', handleClearOutput);\n\n /* Handle when a new output is added */\n events.on('output_added.OutputArea', handleAddOutput);\n\n /**\n * Register the mime type and append_mime function with output_area\n */\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n /* Is output safe? */\n safe: true,\n /* Index of renderer in `output_area.display_order` */\n index: 0\n });\n }\n\n // register the mime type if in Jupyter Notebook environment and previously unregistered\n if (root.Jupyter !== undefined) {\n const events = require('base/js/events');\n const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n }\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(\"f69f6c56-0101-4350-835a-5d81618103e6\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.3.4.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\nif (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(\"f69f6c56-0101-4350-835a-5d81618103e6\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));", - "application/vnd.bokehjs_load.v0+json": "" + "application/javascript": [ + "(function(root) {\n", + " function now() {\n", + " return new Date();\n", + " }\n", + "\n", + " const force = true;\n", + "\n", + " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", + " root._bokeh_onload_callbacks = [];\n", + " root._bokeh_is_loading = undefined;\n", + " }\n", + "\n", + "const JS_MIME_TYPE = 'application/javascript';\n", + " const HTML_MIME_TYPE = 'text/html';\n", + " const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n", + " const CLASS_NAME = 'output_bokeh rendered_html';\n", + "\n", + " /**\n", + " * Render data to the DOM node\n", + " */\n", + " function render(props, node) {\n", + " const script = document.createElement(\"script\");\n", + " node.appendChild(script);\n", + " }\n", + "\n", + " /**\n", + " * Handle when an output is cleared or removed\n", + " */\n", + " function handleClearOutput(event, handle) {\n", + " function drop(id) {\n", + " const view = Bokeh.index.get_by_id(id)\n", + " if (view != null) {\n", + " view.model.document.clear()\n", + " Bokeh.index.delete(view)\n", + " }\n", + " }\n", + "\n", + " const cell = handle.cell;\n", + "\n", + " const id = cell.output_area._bokeh_element_id;\n", + " const server_id = cell.output_area._bokeh_server_id;\n", + "\n", + " // Clean up Bokeh references\n", + " if (id != null) {\n", + " drop(id)\n", + " }\n", + "\n", + " if (server_id !== undefined) {\n", + " // Clean up Bokeh references\n", + " const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n", + " cell.notebook.kernel.execute(cmd_clean, {\n", + " iopub: {\n", + " output: function(msg) {\n", + " const id = msg.content.text.trim()\n", + " drop(id)\n", + " }\n", + " }\n", + " });\n", + " // Destroy server and session\n", + " const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n", + " cell.notebook.kernel.execute(cmd_destroy);\n", + " }\n", + " }\n", + "\n", + " /**\n", + " * Handle when a new output is added\n", + " */\n", + " function handleAddOutput(event, handle) {\n", + " const output_area = handle.output_area;\n", + " const output = handle.output;\n", + "\n", + " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n", + " if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n", + " return\n", + " }\n", + "\n", + " const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", + "\n", + " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n", + " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n", + " // store reference to embed id on output_area\n", + " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", + " }\n", + " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", + " const bk_div = document.createElement(\"div\");\n", + " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", + " const script_attrs = bk_div.children[0].attributes;\n", + " for (let i = 0; i < script_attrs.length; i++) {\n", + " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", + " toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n", + " }\n", + " // store reference to server id on output_area\n", + " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", + " }\n", + " }\n", + "\n", + " function register_renderer(events, OutputArea) {\n", + "\n", + " function append_mime(data, metadata, element) {\n", + " // create a DOM node to render to\n", + " const toinsert = this.create_output_subarea(\n", + " metadata,\n", + " CLASS_NAME,\n", + " EXEC_MIME_TYPE\n", + " );\n", + " this.keyboard_manager.register_events(toinsert);\n", + " // Render to node\n", + " const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", + " render(props, toinsert[toinsert.length - 1]);\n", + " element.append(toinsert);\n", + " return toinsert\n", + " }\n", + "\n", + " /* Handle when an output is cleared or removed */\n", + " events.on('clear_output.CodeCell', handleClearOutput);\n", + " events.on('delete.Cell', handleClearOutput);\n", + "\n", + " /* Handle when a new output is added */\n", + " events.on('output_added.OutputArea', handleAddOutput);\n", + "\n", + " /**\n", + " * Register the mime type and append_mime function with output_area\n", + " */\n", + " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", + " /* Is output safe? */\n", + " safe: true,\n", + " /* Index of renderer in `output_area.display_order` */\n", + " index: 0\n", + " });\n", + " }\n", + "\n", + " // register the mime type if in Jupyter Notebook environment and previously unregistered\n", + " if (root.Jupyter !== undefined) {\n", + " const events = require('base/js/events');\n", + " const OutputArea = require('notebook/js/outputarea').OutputArea;\n", + "\n", + " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", + " register_renderer(events, OutputArea);\n", + " }\n", + " }\n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", + " root._bokeh_timeout = Date.now() + 5000;\n", + " root._bokeh_failed_load = false;\n", + " }\n", + "\n", + " const NB_LOAD_WARNING = {'data': {'text/html':\n", + " \"
\\n\"+\n", + " \"

\\n\"+\n", + " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", + " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", + " \"

\\n\"+\n", + " \"
    \\n\"+\n", + " \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n", + " \"
  • use INLINE resources instead, as so:
    • \\n\"+\n", + " \"
\\n\"+\n", + " \"\\n\"+\n", + " \"from bokeh.resources import INLINE\\n\"+\n", + " \"output_notebook(resources=INLINE)\\n\"+\n", + " \"\\n\"+\n", + " \"
\"}};\n", + "\n", + " function display_loaded() {\n", + " const el = document.getElementById(\"ab53057f-ee3f-47fd-8003-fd684ee32508\");\n", + " if (el != null) {\n", + " el.textContent = \"BokehJS is loading...\";\n", + " }\n", + " if (root.Bokeh !== undefined) {\n", + " if (el != null) {\n", + " el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n", + " }\n", + " } else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(display_loaded, 100)\n", + " }\n", + " }\n", + "\n", + " function run_callbacks() {\n", + " try {\n", + " root._bokeh_onload_callbacks.forEach(function(callback) {\n", + " if (callback != null)\n", + " callback();\n", + " });\n", + " } finally {\n", + " delete root._bokeh_onload_callbacks\n", + " }\n", + " console.debug(\"Bokeh: all callbacks have finished\");\n", + " }\n", + "\n", + " function load_libs(css_urls, js_urls, callback) {\n", + " if (css_urls == null) css_urls = [];\n", + " if (js_urls == null) js_urls = [];\n", + "\n", + " root._bokeh_onload_callbacks.push(callback);\n", + " if (root._bokeh_is_loading > 0) {\n", + " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", + " return null;\n", + " }\n", + " if (js_urls == null || js_urls.length === 0) {\n", + " run_callbacks();\n", + " return null;\n", + " }\n", + " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", + " root._bokeh_is_loading = css_urls.length + js_urls.length;\n", + "\n", + " function on_load() {\n", + " root._bokeh_is_loading--;\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", + " run_callbacks()\n", + " }\n", + " }\n", + "\n", + " function on_error(url) {\n", + " console.error(\"failed to load \" + url);\n", + " }\n", + "\n", + " for (let i = 0; i < css_urls.length; i++) {\n", + " const url = css_urls[i];\n", + " const element = document.createElement(\"link\");\n", + " element.onload = on_load;\n", + " element.onerror = on_error.bind(null, url);\n", + " element.rel = \"stylesheet\";\n", + " element.type = \"text/css\";\n", + " element.href = url;\n", + " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " for (let i = 0; i < js_urls.length; i++) {\n", + " const url = js_urls[i];\n", + " const element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error.bind(null, url);\n", + " element.async = false;\n", + " element.src = url;\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " };\n", + "\n", + " function inject_raw_css(css) {\n", + " const element = document.createElement(\"style\");\n", + " element.appendChild(document.createTextNode(css));\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.3.4.min.js\"];\n", + " const css_urls = [];\n", + "\n", + " const inline_js = [ function(Bokeh) {\n", + " Bokeh.set_log_level(\"info\");\n", + " },\n", + "function(Bokeh) {\n", + " }\n", + " ];\n", + "\n", + " function run_inline_js() {\n", + " if (root.Bokeh !== undefined || force === true) {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", + " inline_js[i].call(root, root.Bokeh);\n", + " }\n", + "if (force === true) {\n", + " display_loaded();\n", + " }} else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(run_inline_js, 100);\n", + " } else if (!root._bokeh_failed_load) {\n", + " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", + " root._bokeh_failed_load = true;\n", + " } else if (force !== true) {\n", + " const cell = $(document.getElementById(\"ab53057f-ee3f-47fd-8003-fd684ee32508\")).parents('.cell').data().cell;\n", + " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", + " }\n", + " }\n", + "\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n", + " run_inline_js();\n", + " } else {\n", + " load_libs(css_urls, js_urls, function() {\n", + " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", + " run_inline_js();\n", + " });\n", + " }\n", + "}(window));" + ], + "application/vnd.bokehjs_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(\"ab53057f-ee3f-47fd-8003-fd684ee32508\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.3.4.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\nif (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(\"ab53057f-ee3f-47fd-8003-fd684ee32508\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" }, "metadata": {}, "output_type": "display_data" @@ -17885,7 +22202,7 @@ "data": { "text/html": [ "\n", - "
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Feedback: datalab@worldbank.org.\",\"text_font_size\":\"10pt\",\"text_font_style\":\"italic\"}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1227\",\"attributes\":{\"axis\":{\"id\":\"p1211\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1232\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1228\"}}}]}}]}};\n", + " const render_items = [{\"docid\":\"bae81bb5-94e0-4c32-be34-bcbda9a8a40f\",\"roots\":{\"p1199\":\"ecd11c01-9cb3-47ae-9e23-a04ce1279d47\"},\"root_ids\":[\"p1199\"]}];\n", + " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", + " }\n", + " if (root.Bokeh !== undefined) {\n", + " embed_document(root);\n", + " } else {\n", + " let attempts = 0;\n", + " const timer = setInterval(function(root) {\n", + " if (root.Bokeh !== undefined) {\n", + " clearInterval(timer);\n", + " embed_document(root);\n", + " } else {\n", + " attempts++;\n", + " if (attempts > 100) {\n", + " clearInterval(timer);\n", + " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n", + " }\n", + " }\n", + " }, 10, root)\n", + " }\n", + "})(window);" + ], "application/vnd.bokehjs_exec.v0+json": "" }, "metadata": { @@ -17941,10 +22283,10 @@ " formatters={\"@x\": \"datetime\"},\n", " )\n", ")\n", - "for column, color in zip(JO_1_monthly_VNP46A3.columns, cc.b_cyclic_grey_15_85_c0):\n", + "for column, color in zip(JO_1_VNP46A3_MS.columns, cc.b_cyclic_grey_15_85_c0):\n", " r = p.line(\n", - " JO_1_monthly_VNP46A3.index,\n", - " JO_1_monthly_VNP46A3[column],\n", + " JO_1_VNP46A3_MS.index,\n", + " JO_1_VNP46A3_MS[column],\n", " legend_label=column[1],\n", " line_color=color,\n", " line_width=2,\n", @@ -17956,10 +22298,10 @@ " r.visible = True\n", "\n", "\n", - "for column, color in zip(JO_1_monthly_VNP46A2.columns, cc.b_glasbey_category10):\n", + "for column, color in zip(JO_1_VNP46A2_MS.columns, cc.b_glasbey_category10):\n", " r = p.line(\n", - " JO_1_monthly_VNP46A2.index,\n", - " JO_1_monthly_VNP46A2[column],\n", + " JO_1_VNP46A2_MS.index,\n", + " JO_1_VNP46A2_MS[column],\n", " legend_label=column[1],\n", " line_color=color,\n", " line_width=2,\n", @@ -17997,12 +22339,12 @@ "\n", "#### Baseline Comparison\n", "\n", - "In this exploratory analysis, we conducted analysis of NTL radiance trends, comparing the observed average radiance levels to a baseline established in the year 2022 for each second-level administrative division." + "In this exploratory analysis, we conducted analysis of NTL radiance trends, comparing the observed average radiance levels to a 6-month baseline (Jan-Jun 2023) for each second-level administrative division." ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 15, "id": "5a45e478-0a9c-465a-ad91-b69469c80c84", "metadata": { "editable": true, @@ -18020,30 +22362,33 @@ "data": { "text/html": [ "\n", - "\n", + "
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" \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - 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" \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 ntl_meanntl_mean
NAME_1AjlunAmmanAqabaBalqaIrbidJarashKarakMa`anMadabaMafraqTafilahZarqaAjlunAmmanAqabaBalqaIrbidJarashKarakMa`anMadabaMafraqTafilahZarqa
date
2023-01-01 00:00:00nannannannannannannannannannannannan2023-01-01 00:00:00-14.480629-10.1676257.516717-15.866455-6.451951-4.828312-64.595991-17.443942-5.216051-16.524670-74.424382-37.757903
2023-01-08 00:00:00-9.624880-11.419320-4.17921211.458138-21.480619-24.564439-6.129012-18.070162-16.211049-12.757538-15.686957-17.173275
2023-01-08 00:00:00nannannannannannannannannannannannan2023-01-15 00:00:00-8.46561111.873603-5.2298735.585003-12.507300-0.17068211.260878-8.985642-3.901734-7.1127750.7886985.264030
2023-01-15 00:00:00nannannannannannannannannannannannan2023-01-22 00:00:00-5.9841847.5982078.995282-1.677976-1.734691-3.5621515.3103979.132923-14.2309965.40116212.9154340.769456
2023-01-22 00:00:00nannannannannannannannannannannannan2023-01-29 00:00:0014.583784-4.406069-8.914784-3.3440081.80334129.2999926.4111081.553853-6.285992-2.83112012.940653-11.042057
2023-01-29 00:00:00nannannannannannannannannannannannan2023-02-05 00:00:00-8.349491-22.1658720.648608-18.080858-6.835373-10.926256-3.6482524.9697194.442592-15.878456-4.598810-14.260110
2023-02-05 00:00:00nannannannannannannannannannannannan2023-02-12 00:00:008.550540-4.758095-4.835366-4.281324-20.449108-11.687216-20.613503-4.768417-13.875047-7.827513-16.889557-7.042010
2023-02-12 00:00:00nannannannannannannannannannannannan2023-02-19 00:00:00-6.4177287.1802445.5163551.146279-1.650509-3.307977-3.7173362.417688-4.4448233.9380227.7102520.708004
2023-02-19 00:00:00nannannannannannannannannannannannan2023-02-26 00:00:00-1.16829815.42342510.7972857.9606131.6806664.61017116.82423016.4004284.03646711.84982618.7081475.615593
2023-02-26 00:00:00nannannannannannannannannannannannan2023-03-05 00:00:004.57805816.0359511.33088610.5901099.2544948.20731313.22426510.958555-5.26188311.23575718.3603627.555002
2023-03-05 00:00:00nannannannannannannannannannannannan2023-03-12 00:00:00-1.3845514.012718-10.290823-0.442353-2.432946-6.8241901.219901-5.105342-14.3010278.5805501.186360-0.869885
2023-03-12 00:00:00nannannannannannannannannannannannan2023-03-19 00:00:00-13.020505-36.086360-15.736235-24.613811-10.300302-31.637720-7.890660-11.887290-28.569123-18.821924-16.109284-13.558933
2023-03-19 00:00:00nannannannannannannannannannannannan2023-03-26 00:00:00-2.980696-54.176664-35.638220-31.156785-30.54572647.132184-23.317972-48.145239-40.032801-46.899917-47.617777-43.993422
2023-03-26 00:00:00nannannannannannannannannannannannan2023-04-02 00:00:00-14.2056659.659250-8.331024-1.834765-9.603053-3.639086-1.6785112.378676-9.010735-4.4538340.6451568.102464
2023-04-02 00:00:00nannannannannannannannannannannannan2023-04-09 00:00:00-4.390092-8.958347-6.34676111.3608899.904200-1.386317-14.606314-23.186197-8.707270-15.320776-15.872641-9.952591
2023-04-09 00:00:00nannannannannannannannannannannannan2023-04-16 00:00:002.95583330.8209958.38729114.872413-0.623020-8.528596-7.3264019.333425-17.442167-2.93442512.46157314.793866
2023-04-16 00:00:00nannannannannannannannannannannannan2023-04-23 00:00:0011.68649520.35616220.466713-3.42760313.0584622.888477-8.7610821.568800-19.44852311.273904-4.80169118.155709
2023-04-23 00:00:00nannannannannannannannannannannannan2023-04-30 00:00:003.08120520.24183223.68789911.6872710.931846-3.32964712.48920914.7627661.38735615.26465214.5044381.170455
2023-04-30 00:00:00nannannannannannannannannannannannan2023-05-07 00:00:004.16305118.806948-16.91614510.35175114.1339155.60845916.3007431.0292075.50114216.70725910.77910514.626012
2023-05-07 00:00:00nannannannannannannannannannannannan2023-05-14 00:00:001.42933514.86455012.9299007.5252987.3934435.72028516.14948615.6793163.42836214.99135227.60251113.010684
2023-05-14 00:00:00nannannannannannannannannannannannan2023-05-21 00:00:0016.654594-11.7108692.506040-0.385877-4.691740-3.18616613.83266511.55007810.891418-1.5665564.8129472.987159
2023-05-21 00:00:00nannannannannannannannannannannannan2023-05-28 00:00:0014.846929-9.460774-3.280753-8.93370515.7679491.06234114.376191-19.104116172.00173725.984048-8.17033268.854592
2023-05-28 00:00:00nannannannannannannannannannannannan2023-06-04 00:00:006.640355-19.11595315.8332053.59896615.522359-9.086217-7.766157-4.606779-0.846031-2.698557-10.079328-16.654402
2023-06-04 00:00:00nannannannannannannannannannannannan2023-06-11 00:00:00-7.179140-23.235840-21.868712-6.8585905.0399534.147828-6.7941992.730692-12.541247-3.3202898.267476-21.655940
2023-06-11 00:00:00nannannannannannannannannannannannan2023-06-18 00:00:000.07929511.4430148.4256555.57410711.0002324.04729616.46490919.8812220.87648010.09713618.90575911.985790
2023-06-18 00:00:00nannannannannannannannannannannannan2023-06-25 00:00:008.40199327.34488714.52607319.19327123.81547713.94062532.98140736.95577517.76094423.62468343.66188820.361713
2023-06-25 00:00:00nannannannannannannannannannannannan2023-07-02 00:00:004.53949829.3516748.70778316.47995125.82550712.22874730.19826124.87927017.64504720.41193633.52724619.254009
2023-07-02 00:00:00nannannannannannannannannannannannan2023-07-09 00:00:002.59800824.025654-20.98992415.21260920.2772489.67572622.83265610.90381814.22029016.48289720.62780215.516156
2023-07-09 00:00:00nannannannannannannannannannannannan2023-07-16 00:00:007.17036127.45286113.73210718.39212326.75770417.41136335.94640528.35693222.65969026.44321138.24984121.765522
2023-07-16 00:00:00nannannannannannannannannannannannan2023-07-23 00:00:003.15170923.4940830.63082116.40238924.88590812.64642233.08126528.52157316.11600817.74403338.46804213.728525
2023-07-23 00:00:00nannannannannannannannannannannannan2023-07-30 00:00:001.45959813.841298-1.50359010.68707217.7491278.43884826.17909018.01811215.3546739.31035926.528614-0.566338
2023-07-30 00:00:00nannannannannannannannannannannannan2023-08-06 00:00:004.12036529.353500-12.52541819.54177626.23753115.20850427.84746015.63456721.97508919.35659823.49152518.049800
2023-08-06 00:00:00nannannannannannannannannannannannan2023-08-13 00:00:001.70674821.016928-1.40592816.32328315.47086212.07894831.46691716.98068426.83463018.23620235.48117011.146669
2023-08-13 00:00:00nannannannannannannannannannannannan2023-08-20 00:00:002.6194707.25485216.0427894.092998-31.6930231.82768233.06833013.87230415.475878-1.94835240.49701218.049930
2023-08-20 00:00:00nannannannannannannannannannannannan2023-08-27 00:00:007.06195826.05514211.76060617.88250518.73050212.17085744.66317030.41622932.85679522.58816750.78786918.677143
2023-08-27 00:00:00nannannannannannannannannannannannan2023-09-03 00:00:00-0.34581418.830165-13.2939779.03382613.1291081.68242227.0330954.79430620.48435913.66069425.5711769.946422
2023-09-03 00:00:00nannannannannannannannannannannannan2023-09-10 00:00:002.64268118.8292981.41450015.55927916.3040366.16616232.33403320.34442228.22529716.92565539.45200210.902861
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Feedback: datalab@worldbank.org.\",\"text_font_size\":\"10pt\",\"text_font_style\":\"italic\"}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1756\",\"attributes\":{\"axis\":{\"id\":\"p1740\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1761\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1757\"}}}]}}]}};\n", + " const render_items = [{\"docid\":\"0b87df7f-c075-4f92-a26a-c75b101cc83e\",\"roots\":{\"p1728\":\"e0ae3107-06c1-40f8-9ac3-2efb6fdaf853\"},\"root_ids\":[\"p1728\"]}];\n", + " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", + " }\n", + " if (root.Bokeh !== undefined) {\n", + " embed_document(root);\n", + " } else {\n", + " let attempts = 0;\n", + " const timer = setInterval(function(root) {\n", + " if (root.Bokeh !== undefined) {\n", + " clearInterval(timer);\n", + " embed_document(root);\n", + " } else {\n", + " attempts++;\n", + " if (attempts > 100) {\n", + " clearInterval(timer);\n", + " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n", + " }\n", + " }\n", + " }, 10, root)\n", + " }\n", + "})(window);" + ], "application/vnd.bokehjs_exec.v0+json": "" }, "metadata": { @@ -19263,12 +23673,12 @@ "id": "8846e1c2-4299-4778-9bf4-e522b0b6af1b", "metadata": {}, "source": [ - "### National Average Weekly Radiance" + "### National Weekly Sum of Lights" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 20, "id": "38eb48fc-6b58-4d5c-b5cd-ed29f41fe7d5", "metadata": { "editable": true, @@ -19281,12 +23691,12 @@ }, "outputs": [], "source": [ - "JO_0 = JO_1.mean(axis=\"columns\").to_frame(VAR)" + "JO_0 = JO_1.sum(axis=\"columns\").to_frame(\"ntl_sum\")" ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 21, "id": "8de84d23-42b4-44bb-b478-d3ed311599d3", "metadata": { "editable": true, @@ -19302,7 +23712,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -19312,15 +23722,12 @@ } ], "source": [ - "import matplotlib as mpl\n", - "import seaborn as sns\n", - "\n", "mpl.rcParams[\"font.family\"] = \"Arial\"\n", "sns.set_theme()\n", "sns.set_style(\"whitegrid\")\n", "\n", "fig, ax = plt.subplots(figsize=(10, 8))\n", - "fig.suptitle(\"Jordan: Weekly Nighttime Lights (2022-2023)\", y=0.95)\n", + "fig.suptitle(\"Jordan: Weekly Nighttime Lights\", y=0.95)\n", "\n", "JO_0.plot(ax=ax, marker=\"8\")\n", "ax.set_title(\"Weekly National Radiance Average\")\n", @@ -19343,7 +23750,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 22, "id": "e75cc298-16ec-48b8-a3b6-6a10864bd5b9", "metadata": { "editable": true, @@ -19357,7 +23764,7 @@ "outputs": [], "source": [ "fig.tight_layout()\n", - "fig.savefig(\"JOR_0-radiance-week-mean.png\", dpi=300)" + "fig.savefig(\"JOR_0-radiance-week-sum.png\", dpi=300)" ] }, { @@ -19378,6 +23785,25 @@ "{ref}`nighttime-lights-limitations`\n", "```" ] + }, + { + "cell_type": "markdown", + "id": "5eb3bc51", + "metadata": {}, + "source": [ + "## References\n", + "\n", + "```{bibliography}\n", + ":filter: docname in docnames\n", + ":style: plain\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "fc70eaad", + "metadata": {}, + "source": [] } ], "metadata": { diff --git a/notebooks/nighttime-lights/nighttime-lights.ipynb b/notebooks/nighttime-lights/nighttime-lights.ipynb index ad8997b..e6496b8 100644 --- a/notebooks/nighttime-lights/nighttime-lights.ipynb +++ b/notebooks/nighttime-lights/nighttime-lights.ipynb @@ -84,7 +84,7 @@ "source": [ "### Define Region of Interest\n", "\n", - "Define region of interest for which NASA Black Marble will be downloaded. We retrive the polygons from [GADM](https://gadm.org)." + "Define region of interest for which NASA Black Marble will be downloaded. We use [GADM](https://gadm.org)." ] }, {