geospatial-analytics

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

IBM Environmental Intelligence Suite

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

This repository contains the pipeline for generating a training dataset for land cover and crop type segmentation using USDA CDL data.

PostGIS on Greenplum demo

Go implementation of turfjs

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.

Sparklyr extension package providing geospatial analytics capabilities

Geographically Optimal Similarity

A responsive GUI that performs six different methods of spatial interpolation

Utilites and functions for easy usage of S2 objects (Google geometries abstractions)

Official supplementary material for the book 'Visual Analytics with Tableau' by Alexander Loth (Wiley). This repository provides all the Tableau Workbooks (.twbx) and Tableau Prep Flows (.tfl) used in the book's examples, enabling readers to follow along step-by-step and enhance their hands-on learning experience.

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