GC2-3 - Non-linearity relationships and non-Gaussian distributions
You are currently viewing an archived version of Topic .
If updates or revisions have been published you can find them at .
Author and Citation Info:
DiBiase, D., DeMers, M., Johnson, A., Kemp, K., Luck, A. T., Plewe, B., and Wentz, E. (2006). Non-linearity relationships and non-Gaussian distributions. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).
Learning Objectives:
Understand how some machine learning methods might be more adept at modeling or representing such distributions
Define non-linear and non-Gaussian distributions in a geospatial data environment
Exemplify non-linear and non-Gaussian distributions in a geospatial data environment
You are currently viewing an archived version of Topic . If updates or revisions have been published you can find them at .
DiBiase, D., DeMers, M., Johnson, A., Kemp, K., Luck, A. T., Plewe, B., and Wentz, E. (2006). Non-linearity relationships and non-Gaussian distributions. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).