Bias-variance decomposition of errors in data-driven land cover change modeling
Gao, J., Burnicki, A. C., & Burt, J. E. (2016). Bias-variance decomposition of errors in data-driven land cover change modeling. Landscape Ecology, 31, 2397-2413. doi:10.1007/s10980-016-0410-x
Careful model evaluation is essential for using the results of data-driven land cover change (LCC) models. A useful evaluation should help the analyst understand model behavior and improve model performance. Conventional error analysis methods provide limited insights on these two issues.
