Curve Fit: a pixel-level raster regression tool for mapping spatial patterns
Article first published online: 25 JUN 2013
© 2013 The Authors. Methods in Ecology and Evolution © 2013 British Ecological Society
Methods in Ecology and Evolution
Volume 4, Issue 8, pages 789–792, August 2013
How to Cite
De Jager, N. R., Fox, T. J. (2013), Curve Fit: a pixel-level raster regression tool for mapping spatial patterns. Methods in Ecology and Evolution, 4: 789–792. doi: 10.1111/2041-210X.12068
- Issue published online: 9 AUG 2013
- Article first published online: 25 JUN 2013
- Accepted manuscript online: 11 MAY 2013 03:17AM EST
- Manuscript Accepted: 3 MAY 2013
- Manuscript Received: 24 JAN 2013
- USACE, USEPA, USFWS, USGS
- landscape assessment;
- landscape pattern;
- Despite the fact that pixels (i.e. picture elements) are the basic sampling units of maps, we are aware of no software package or tool that allows users to model changes that may occur at such fine spatial resolutions over broad geographic extents.
- Curve Fit is an extension to the application ArcMap that allows users to conduct linear or nonlinear regression analysis on the range of values found within input raster data sets (geo-referenced images), independently for each pixel.
- Outputs consist of raster surfaces of regression model parameter estimates, standard errors, goodness-of-fit estimates and multimodel inference measures.
- Curve fit outputs characterize continuous spatial or temporal change across a series of raster data sets.