Basic

Jupyter Notebook enables researchers to use Python on FASRC for complex geospatial big data tasks. The introductory video below provides guidance on using Jupyter Notebook for Harvard’s FAS Research Computing (FASRC) for geopsatial research. Use-Cases...

PostGIS enhances the PostgreSQL relational database by adding support for storing, indexing, and querying geospatial data. On FASRC, PostGIS is ideal for tasks that require CPU-based spatial databases. For more information about using PostGIS on FASRC...

HeavyIQ is a GPU-accelerated GeoAI platform that enables users to query their data using natural language, receiving instant SQL translations, visualizations, and responses in natural language. This feature simplifies querying and analyzing large...

HEAVY.AI is a GPU-accelerated database offering rapid analytics and visualization on billions of records, including geospatial and time series data. It is ideal for tasks requiring real-time analysis of GIS big data using GPU databases. For more...

The Billion Object Platform (BOP) V2 is a cloud-based visualization tool powered by HEAVY.AI (a GPU database that was invented at the CGA), which provides a robust big data exploration platform, with API access, for geospatial data. The BOP's primary aim...

K-NN is an open-source system designed to calculate K-nearest neighbors on geospatial big data. It is particularly useful for studies requiring nearest neighbor analysis, such as examining partisan segregation at the individual level for a dataset of 180...

Rapid Route is an open-source system developed for estimating travel times, built with the Open Source Routing Machine (OSRM). This tool is particularly valuable for healthcare accessibility studies, providing a low-cost, accurate, and efficient solution...

OptiPath is a specialized system designed to optimize route planning within geospatial big data projects. Utilizing extensive raster datasets and cloud computing resources, OptiPath provides advanced capabilities in spatial analysis and path optimization...

RINX (Raster INformation eXtraction) is a comprehensive solution designed for the automatic extraction of information from large raster datasets. RINX 1.0 leverages PostGIS within a high-performance compute cluster environment, while RINX 2.0 utilizes...

We have acquired multiple software and data licenses which are now available to the larger Harvard community to enable research which requires geospatial big data. Software Data