SIL Home

The Space Informatics Lab (SIL) was established in March 2011 by Dr. Tomasz Stepinski. It is located in the Department of Geography and GIS at the University of Cincinnati. SIL research is supported by the UC Space Exploration Research Fund, as well as research grants from NSF and NASA.

SIL develops intelligent algorithms for fast and intuitive exploration of large spatial datasets which originate from remotely-sensed Earth or planetary data, or from extensive ground survey - such as U.S. Census Bureau data. Without effective tools for exploring and analyzing these big spatial datasets, the ability of the scientific community to obtain any insight from this data is limited. SIL aims to develop tools which make intelligent exploration of these vast datasets possible, intuitive, and accessible to the scientific community.


SIL works on a variety of projects, including:

  • Same senSe - a series of technologies for identifying all sites in a spatial dataset that share the same "sense of place"
  • Geomorphons - a novel method for the classification and mapping of landform elements from a DEM
  • LandEx - a GeoWeb-based tool for finding locations of land cover patterns similar to a user-provided sample
  • TerraEx - a GeoWeb-based tool for finding locations of landscape patterns similar to a user-provided sample
  • ClimateEx - a GeoWeb-based tool which allows to search for similar climates all over the World
  • SocScape - a GeoWeb-based viewer  for exploration of patterns in high resolution (30m or 90 m) demographic grids covering the entire conterminous United States
  • DataEye - a GeoWeb-based viewer for large datasets

More information about the projects can be found at the research project webpage.


Published on  November 17th, 2017


Blog posts series introducing GeoPAT 2 - a software for pattern-based spatial and temporal analysis:

  1. GeoPAT 2: Software for Pattern-Based Spatial and Temporal Analysis
  2. Pattern-based Spatial Analysis - core ideas
  3. Finding similar local landscapes
  4. Quantifying temporal change of landscape pattern
  5. Pattern-based regionalization
  6. Moving beyond pattern-based analysis: Additional applications of GeoPAT 2

new version of a Web-based query-by-example tool for finding places with similar climate is available here.

now more detailed (30 m ) population and racial diversity grids for 1990, 2000, 2010 are available here.

High resolution demographic grids for each county in the conterminous U.S for 1990, 2000, 2010 year are available here.

Racial dot map for each county in the conterminous U.S are available here.