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.
Using Python, GDAL and Google Maps API to calculate travel times between pairs of regions, given an specific weekday and time.
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Preprocessing scripts for 1:50K tiles issued by the survey department, Sri Lanka
py-location api of Indonesia Administration boundaries
基于GDAL开发的快速功能函数库。 For GDAL secondary packaging function library.
This is a OpenMetadata custom connector to any spatial data format which can be read through fiona (the OGR part of the excellent GDAL library).
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.
Processamento de imagens de satélite via RasterIO, Numpy e Matplotlib.
A python class for parallelizing functions across the cores of a single computer. Created with large raster processing jobs in mind. Uses multiprocessing module. Made available under a CC BY-NC-SA 4.0 license.
This project demonstrates the capabilities of GeoDgango in conjunction with DRF and a third party API.
The repository is a duplicate of the local folder which contains codes created by Yuanzhan Gao (yg8ch@virginia.edu) to conduct NDVI pixel value extractions on NASA's satellite data. Please see the README file for more information.
Airflow operator running python code in conda/mamba environments
Ground Water Table plots using .shp Shape files. How likely is an area to flood?
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