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GABBS: geospatial data analysis building blocks

Enabling scientists, students and educators to create and share
interactive tools and models for processing, analyzing and visualizing geospatial data

GABBs is an NSF-funded project to create a powerful Web-based system that will allow researchers worldwide to manage, curate, share, analyze and visualize geospatial data for purposes ranging from predicting damaging floods to projecting climate change effects on the poor. The project will build geospatial data hosting, processing and sharing capabilities into Purdue’s HUBzero platform. This should open the way for easy development of a variety of Web-enabled tools for probing and presenting geospatial data in ways that can, among other things, help policymakers address pressing issues in the U.S. and around the globe. Find out more about the GABBs project and tools, and the latest news!

PyMapLib has been released!

This easy-to-use python map library allows tool developers to include spatial data interaction and visualization in their tools, without requiring expert knowledge in GIS programming. Information and a user manual is available at https://mygeohub.org/resources/1154.  Several tools on MyGeohub have been built on this library.

MultiSpec Online has been released!

This tool brings  image processing capabilities online for displaying and analyzing geospatial images. Built on a popular, open source desktop tool, the online version has been used in classrooms and training sessions. 

iData has been integrated with HUBzero Project!

iData is integrated with the HUBzero Project to provide a seamless environment for collaboration around geospatial data. It allows individual researchers to upload, browse, discover, and share scientific data all by themselves. What's more, it comes with value added features for geospatial data. 

GeoBuilder has been updated!

GeoBuilder is an online tool for exploring geospatial data. Users can  import geospatial data, create and configure layers and data plots, and explore tabular data without doing any programming. The initial version is available now for user testing. Additional functions and many improvements will be coming in the second half of 2016.