Journal
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
Volume 28, Issue 3, Pages 570-583Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/13658816.2013.862623
Keywords
area under the curve (AUC); diagnosis; land use and land cover change (LUCC); relative operating characteristic (ROC); total operating characteristic (TOC)
Categories
Funding
- United States' National Science Foundation (NSF) [OEC-1238212]
- Directorate For Geosciences
- Division Of Ocean Sciences [1238212] Funding Source: National Science Foundation
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The relative operating characteristic (ROC) is a popular statistical method to measure the association between observed and diagnosed presence of a characteristic. The diagnosis of presence or absence depends on whether the value of an index variable is above a threshold. ROC considers multiple possible thresholds. Each threshold generates a two-by-two contingency table, which contains four central entries: hits, misses, false alarms, and correct rejections. ROC reveals for each threshold only two ratios, hits/(hits + misses) and false alarms/(false alarms + correct rejections). This article introduces the total operating characteristic (TOC), which shows the total information in the contingency table for each threshold. TOC maintains desirable properties of ROC, while TOC reveals strictly more information than ROC in a manner that makes TOC more useful than ROC. We illustrate the concepts with an application to land change science.
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