Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
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Updated
Jun 12, 2024 - Jupyter Notebook
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
Sample Jupyter notebooks for EOdal
Jupyter Notebook Demo - NOAA's Significant Earthquake Database in CSV Format
Sample notebooks & helper transformation functions of h3-py: Uber's H3 Hexagonal Hierarchical Geospatial Indexing System in Python.
This repository contains jupyter notebooks documenting my notes during the DataCamp course, Visualizing Geospatial Data in Python.
A series of Jupyter Notebooks is provided that give an introduction to web services of the Open Geospatial Consortium in general and practical examples using a Web Coverage Service .
Explore a diverse collection of freely available geospatial datasets in this repository. Whether you're working with Shapefiles, GeoJSON, KML, or other formats, these datasets are ready to enrich your geospatial analyses. Dive into Python notebooks from other repositories to see how you can integrate and leverage these datasets seamlessly
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