Baltimore shops nearby location-based web application with Django and GeoDjango. Quering json data to provide a subset of the closest shops to a user’s location.
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Updated
Sep 9, 2022 - Python
Baltimore shops nearby location-based web application with Django and GeoDjango. Quering json data to provide a subset of the closest shops to a user’s location.
test performance convert vector & mbtiles with GDAL
Using Python, GDAL and Google Maps API to calculate travel times between pairs of regions, given an specific weekday and time.
Custom Map Tile Generator using Gdal2Tile.py
This is a fully-featured multi-vendor restaurant marketplace website developed using Django, Bootstrap, and JavaScript. The project showcases complex functionalities including location-based search and nearby restaurant recommendations.
A land cover classification task performed with machine learning modelling on Sentinel-2 data for Gibraltar.
Preprocessing scripts for 1:50K tiles issued by the survey department, Sri Lanka
Choropleth Maps of the News
This repository presents the Colour Pattern Regression (CPR) algorithm QGIS3 plugin. The code determines the relationship between aerial images and raster maps according to the decomposition into RGB spaces of the aerial images and the calculation of a linear regression with the raster map using three coefficients - one for each RGB space.
Ubuntu with GDAL installation Dockerfile
Cropland CROS - Proof of concept . Full stack project with React-TS on front-end and back-end API using python
This repository based on calculation of cultivated area of texas state from the National Land Cover database.
Laboratory works on Data Science course using Python
This project demonstrates the capabilities of GeoDgango in conjunction with DRF and a third party API.
Notes on working with gdal apis and scripts
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