HR: 0830h
AN: B41C-0884    [PDF]
TI: Data Mining Relationships Among Urban Socioeconomic, Land Cover, and Remotely Sensed Ecological Data
AU: * Mennis, J
EM: jeremy@colorado.edu
AF: Department of Geography, UCB 260 University of Colorado, Boulder, CO 80309 United States
AU: Wessman, C
EM: carol.wessman@colorado.edu
AF: Department of Ecology and Evolutionary Biology and The Center for the Study of Earth from Space, Cooperative Institute for Research in Environmental Sciences, UCB 216 University of Colorado, Boulder, CO 80309 United States
AU: Golubiewski, N
EM: Nancy.Goubiewski@colorado.edu
AF: Department of Ecology and Evolutionary Biology and The Center for the Study of Earth from Space, Cooperative Institute for Research in Environmental Sciences, UCB 216 University of Colorado, Boulder, CO 80309 United States
AB: This research investigates the relationships among socioeconomic character, land cover, and ecological function in a rapidly urbanizing region, the Front Range of Colorado. We use novel spatial geographic information systems- (GIS-) based data integration and data mining techniques to integrate and analyze diverse spatial data sets. These data include elevation data, transportation data, land cover data derived from aerial photography, block group-level U.S. Census data, and vegetation greenness (NDVI) data derived from Landsat imagery. These data are used to derive a variety of U.S. block group-level variables indicating demographic, geographic, ecological, and land cover characteristics. We employ spatial association rule mining, decision tree induction, and spatial on-line analytical processing (OLAP), in addition to more conventional multivariate statistical techniques, to investigate relationships among these variables.
DE: 1640 Remote sensing
DE: 1803 Anthropogenic effects
DE: 1851 Plant ecology
DE: 6334 Regional planning
SC: Biogeosciences [B]
MN: 2003 Fall Meeting