geospatial-analytics

harsha2010/magellan

Geo Spatial Data Analytics on Spark

Kitware/Danesfield

Kitware's system for 3D building reconstruction for the IARPA CORE3D program

nasa-jpl-memex/GeoParser

Extract and Visualize location from any file

ClarkCGA/TerrSet

TerrSet Geospatial Monitoring and Modeling Software

tgve/tgvejs

Turing Geo-Visualisation Engine

IBM/Environmental-Intelligence-Suite

IBM Environmental Intelligence Suite

Garvit244/Shapefile_to_Network

Convert Shapefile to the Network and find number of shortest paths

IBM/Environmental-Intelligence

IBM Environmental Intelligence

ClarkCGA/multi-temporal-crop-classification-training-data

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

cantzakas/postgis-demo

PostGIS on Greenplum demo

gouldju1/honr39900-foundations-of-geospatial-analytics

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.

hammerheadnav/turfgo

Go implementation of turfjs

miraisolutions/sparkgeo

Sparklyr extension package providing geospatial analytics capabilities

ausgis/geosimilarity

Geographically Optimal Similarity

dmarcous/S2Utilities

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

mikeRobWard/spatial-interpolation-toolbox

A responsive GUI that performs six different methods of spatial interpolation

gisisfun/map_polygons

Your data aggregrated into nicely shaped polygons for visual and tabular output.

msahamed/geophy_nyc_housing_prices

Geospatial data analytics: Affects of community gardens on housing prices in New York City

shingkid/base-location-optimization

This project aims to recommend effective deployment locations for police emergency response cars.

gayatro/Flight-Visualiser

PryskaS/spatial-data-is-special

Base teórica de geomática e prática no python de geoprocessamento para geospatial data science. Página em construção.

shashanktomar/turfgo

Advanced geospatial analysis for golang, android and ios.

earthdaily/Studies-and-Analysis

This repository consolidate various analysis on EarthDaily Agro services and conference contributions.

HamedAlemo/xarray-tutorial

Notebooks to learn fundamentals of xarray for geospatial data processing in Python

ManishSahu53/geoSearch-python-client

This repo is python client for geoSearch system of APIs to search and process satellite dataset

anapelin/happysip_happyslurp_happyshuttle

Analysis of late-night dining & transportation options in relation to Singapore nightlife hotspots

ParikshithKedilayaM/hotspot-analysis-geospatial-data

Hotspot analysis on Big Data of a major taxi company using Apache Spark and Scala

radiantearth/raster-foundry

The Radiant Earth Foundation Platform base web app

seby-sbirna/Geospatial-analytics-upon-Santiago-de-Chile-household-market-based-on-Zone-and-Area-characteristics

This repository contains the Geospatial Data Science challenge presented in the final part of the DTU Data Science course 42577 & 42184: Data Science for Mobility / Introduction to Business Analytics

sharmaroshan/World-Happiness-Report

The World Happiness Report is a landmark survey of the state of global happiness. The first report was published in 2012, the second in 2013, the third in 2015, and the fourth in the 2016 Update. The World Happiness 2017, which ranks 155 countries by their happiness levels, was released at the United Nations at an event celebrating International Day of Happiness on March 20th. The report continues to gain global recognition as governments, organizations and civil society increasingly use happiness indicators to inform their policy-making decisions. Leading experts across fields – economics, psychology, survey analysis, national statistics, health, public policy and more – describe how measurements of well-being can be used effectively to assess the progress of nations. The reports review the state of happiness in the world today and show how the new science of happiness explains personal and national variations in happiness.

HamedAlemo/stac-search-tutorial

A short tutorial on using STAC API and search for satellite imagery

SaptarshiVertify/soilify

Soilify official website

XiWen0627/StudyNoteofGeoAI

Shared at G11 Research Group, orgnized on July 22, 2024

javedali99/geospatial-and-earth-science-data

A comprehensive collection of global earth science and geospatial datasets 🌍

mappls-api/mappls-insight-sdk

Mappls advanced analytics engine: Insight transforms raw data into impactful visualizations and interactive dashboards, easily shared and embedded.