A Suite of Tools for ROC Analysis of Spatial Models
| Autor: | Jean-François Mas, Michelle Farfán Gutiérrez, Hermann Rodrigues, Britaldo Soares Filho, Robert Gilmore Pontius |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
AUC
Geographic information system Computer science Geography Planning and Development LUCC lcsh:G1-922 species distribution modeling accuracy Dinamica EGO prediction ROC uncertainty validation computer.software_genre Earth and Planetary Sciences (miscellaneous) Computers in Earth Sciences Statistical hypothesis testing Receiver operating characteristic Event (computing) business.industry Suite Curve analysis Confidence interval Statistical classification Data mining business computer lcsh:Geography (General) |
| Zdroj: | ISPRS International Journal of Geo-Information; Volume 2; Issue 3; Pages: 869-887 ISPRS International Journal of Geo-Information, Vol 2, Iss 3, Pp 869-887 (2013) |
| ISSN: | 2220-9964 |
| DOI: | 10.3390/ijgi2030869 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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