Estimating Prediction Uncertainty from Geographical Information System Raster Processing: A User's Manual for the Raster Error Propagation Tool (Reptool)

By Jason J. Gurdak, Sharon L. Qi, Michael L. Geisler

Error that is inherent to geospatial raster data can propagate through geospatial models that are used in geographic information systems (GIS) for many natural science and social science applications. The error propagation can result in substantial and spatially variable prediction uncertainty in model results. Consequently, prediction uncertainty has important implications for the use and interpretation of geospatial model results by scientists, environmental regulators, resource managers, elected officials, and the general public. This description may be from another edition of this product.

• Format: Paperback
• Language: English
• ISBN: 1500219347
• ISBN13: 9781500219345
• Release Date: June 2014
• Publisher: Createspace Independent Publishing Platform
• Length: 80 Pages
• Weight: 0.46 lbs.
• Dimensions: 0.2" x 8.5" x 11.0"