The Story of CyberGISX

CyberGISX provides an integrated development and sharing platform with particular support for geospatial software and applications. CyberGISX has been developed by the CyberGIS Center for Advanced Digital and Spatial Studies & CyberInfrastructure and Geospatial Information Laboratory at the University of Illinois at Urbana Champaign.

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CyberGIS software and Geospatial libraries

CyberGISX integrates the following types of cyberGIS software and geospatial libraries to enable reproducible geospatial research and education.

  • CyberGIS: CyberGIS-Jupyter, CyberGIS Toolkit

  • Utility Library: conda, numpy, matplotlib, pandas, scikit-imge, scikit-learn, scipy

  • Spatial Analysis: geopandas, networkit, networkx, pysal, statsmodels

  • Geovisual Analysis:bokeh, cartopy, datashader, geoviews, holoviews, mplleaflet

  • Data Processing: fiona, gdal, geojson, geotiff, lidar, rasterio, shapefile, shaply

  • Spatial Simulation: Mesa, urbanism

  • Applications: Agriculture, Geography, Health, Hydrology

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High-performance and scalable

CyberGISX scales on virtual ROGER and has access to powerful national cyberinfrastructure resources.

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Publications

Publications to cite if your research benefits from CyberGISX

  • Wang, S. (2010) “A CyberGIS Framework for the Synthesis of Cyberinfrastructure, GIS, and Spatial Analysis”. Annals of the Association of American Geographers, 100(3): 535-557
  • Wang, S., Liu, Y., and Padmanabhan, A. (2016) “Open CyberGIS Software for Geospatial Research and Education in the Big Data Era”. SoftwareX, 5: 1-5
  • Yin, D., Liu, Y., Hu, H., Terstriep, J., Hong, X., Padmanabhan, A., and Wang, S. (2018) “CyberGIS‐Jupyter for Reproducible and Scalable Geospatial Analytics”. Concurrency and Computation: Practice and Experience, 31(11): https://doi.org/10.1002/cpe.5040