CODE MOVED HERE --- https://github.com/RohitDhankar/dcGIS
This repository will contain both code and additional eading material refrences for QGIS(Quantum GIS) with Python support and some of the prominent GeoSpatial and LiDAR data related analytics. - QGIS 2020
Are you a QGIS developer or a GeoSpatial Scientist - kindly feel free to contribute.
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QGIS-RasterData -
QGIS-VectorData -
QGIS-GoogleEarthEngine -
QGIS-GDAL
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QGIS-Cellular Automata -
Source URL - https://www.youtube.com/watch?v=CPe7bfYOntQ
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A Cellular Automata Land-Use Model For The R Software Environment
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Source URL - https://www.youtube.com/watch?v=iSZJNPm2UPY
Delhi Raster Data - Source - Data for: Monitoring and Modeling of Spatio-Temporal Urban Growth of Delhi, India using Cellular Automata and Geoinformatics
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Source URL - https://data.mendeley.com/datasets/8thw5fb2t3/1
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DataSet Citation -- DOI: 10.17632/8thw5fb2t3.1
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QGIS Delhi raster Image - Copyright of the source sited above - https://ars.els-cdn.com/content/image/1-s2.0-S0264275118303871-ga1_lrg.jpg
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QGIS_GEE_GoogleEarthEngine_Plugin_2020-06-14 18-27-47.png
GDAL is a translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source License by the Open Source Geospatial Foundation. As a library, it presents a single raster abstract data model and single vector abstract data model to the calling application for all supported formats. It also comes with a variety of useful command line utilities for data translation and processing. The NEWS page describes the May 2020 GDAL/OGR 3.1.0 release.
- Source URL - https://gdal.org/
Rohit Dhankar - https://www.linkedin.com/in/rohitdhankar/