Geography
Document Type
Article
Abstract
The Receiver Operating Characteristic (ROC) is widely used for assessing the performance of classification algorithms. In GIScience, ROC has been applied to assess models aimed at predicting events, such as land use/cover change (LUCC), species distribution and disease risk. However, GIS software packages offer few statistical tests and guidance tools for ROC analysis and interpretation. This paper presents a suite of GIS tools designed to facilitate ROC curve analysis for GIS users by applying proper statistical tests and analysis procedures. The tools are freely available as models and submodels of Dinamica EGO freeware. The tools give the ROC curve, the area under the curve (AUC), partial AUC, lower and upper AUCs, the confidence interval of AUC, the density of event in probability bins and tests to evaluate the difference between the AUCs of two models. We present first the procedures and statistical tests implemented in Dinamica EGO, then the application of the tools to assess LUCC and species distribution models. Finally, we interpret and discuss the ROC-related statistics resulting from various case studies.
Publication Title
ISPRS International Journal of Geo-Information
Publication Date
9-1-2013
Volume
2
Issue
3
First Page
869
Last Page
887
ISSN
2220-9964
DOI
10.3390/ijgi2030869
Keywords
accuracy, AUC, Dinamica EGO, LUCC, prediction, ROC, species distribution modeling, uncertainty, validation
Repository Citation
Mas, Jean François; Filho, Britaldo Soares; Pontius, Robert Gilmore; Gutiérrez, Michelle Farfán; and Rodrigues, Hermann, "A suite of tools for ROC analysis of spatial models" (2013). Geography. 746.
https://commons.clarku.edu/faculty_geography/746
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
