UrbanFlow is a platform for integrating geolocated Twitter data with detailed land-use maps to detect and analyze individual human mobility patterns. UrbanFlow capabilities utilize a novel scalable solution for the point in/nearest polygon algorithm and are implemented on Hadoop.
TopoLens is a cyberGIS app for supporting community data services in easy and efficient access to high-resolution topographic data. The app, powered by hybrid cyberinfrastructure with cloud and HPC support, efficiently produces customized datasets based on user requests.Go to TopoLens
TauDEM (Terrain Analysis Using Digital Elevation Models) is a suite of Digital Elevation Model (DEM) tools for the extraction and analysis of hydrologic information from topography as represented by a DEM. It is hosted on the ROGER High Performance Computer.Go to TauDEM
CyberGIS-Jupyter is an innovative cyberGIS framework for achieving data-intensive, reproducible, and scalable geospatial analytics. It is based off of the Jupyter Notebook, which has built-in cyberGIS capabilities to accelerate gateway application development and sharing.
CyberGIS Gateway is the leading online cyberGIS environment for a large number of users to perform computing- and data-intensive, and collaborative geospatial problem-solving enabled by advanced cyberinfrastructure. Supported in part by the National Science Foundation (NSF) CyberGIS Project, the Gateway provides a suite of scalable spatial analysis and modeling applications built on GISolve middleware infrastructure. The computation of analytical and modeling tasks is conducted within a cloud computing environment and several leading cyberinfrastructure environments such as the NSF XSEDE supercomputers and ROGER supercomputer.
Gateway Version: CyberGIS Gateway v2.5b
Current build: r615
Professor Shaowen Wang is Principal Investigator on a National Science Foundation grant that has just received funding: SI2-S2I2 Conceptualization: Geospatial Software Institute.
Professor Shaowen Wang is Principal Investigator on a recently funded National Science Foundation grant: Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis.