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geospatial-analytics
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FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
Geo Spatial Data Analytics on Spark
Kitware's system for 3D building reconstruction for the IARPA CORE3D program
Extract and Visualize location from any file
TerrSet Geospatial Monitoring and Modeling Software
Turing Geo-Visualisation Engine
Convert Shapefile to the Network and find number of shortest paths
This github repository contains documentation, samples and API usage examples that can be referenced when interacting with IBM Environmental Intelligence Suite - https://www.ibm.com/products/environmental-intelligence-suite
IBM Environmental Intelligence
This repository contains the pipeline for generating a training dataset for land cover and crop type segmentation using USDA CDL data.
Maps are everywhere around us: in our cars, on our phones, and driving public health initiatives. Geospatial skills and knowledge are increasingly sought after in industry, and will continue to prove vital to Data Science. You will learn how to create maps and analyze spatial data using Python and SQL, how spatial data are applied in a variety of domains, and have hands-on experiences with real data. Together, we will answer questions such as: (1) what are maps, (2) how can we create maps from data, (3) and how do we quantify and analyze maps. Applied geospatial projects will include: autonomous vehicles, public health, supply chain, and more.
PostGIS on Greenplum demo
Sparklyr extension package providing geospatial analytics capabilities
Utilites and functions for easy usage of S2 objects (Google geometries abstractions)
Geographically Optimal Similarity
Your data aggregrated into nicely shaped polygons for visual and tabular output.
Geospatial data analytics: Affects of community gardens on housing prices in New York City
This project aims to recommend effective deployment locations for police emergency response cars.
A responsive GUI that performs six different methods of spatial interpolation