### Summary

- Top of page
- Summary
- Introduction
- Features of Curve Fit
- Application of Curve Fit
- Discussion
- Acknowledgements
- References

- 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.