geospatial-analytics

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

open source tools for interaction with IBM PAIRS:

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

Sparklyr extension package providing geospatial analytics capabilities

Go implementation of turfjs

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

PostGIS on Greenplum demo

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.

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.

Advanced geospatial analysis for golang, android and ios.

A responsive GUI that performs six different methods of spatial interpolation

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.

The Radiant Earth Foundation Platform base web app