期刊
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
卷 27, 期 9, 页码 1717-1739出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/13658816.2013.787618
关键词
category; change; Intensity Analysis; error; time
类别
资金
- United States National Science Foundation (NSF) [OCE-0423565, OEC-1058747, BCS-0709685]
- NSF [DEB-0620579]
- Division Of Ocean Sciences
- Directorate For Geosciences [1238212] Funding Source: National Science Foundation
Intensity Analysis is a mathematical framework that compares a uniform intensity to observed intensities of temporal changes among categories. Our article summarizes Intensity Analysis and presents a new method to compute the minimum hypothetical error in the data that could account for each observed deviation from a uniform intensity. A larger hypothetical error gives stronger evidence against a hypothesis that a change is uniform. The method produces results for five groups of measurements, which are organized into three levels of analysis: interval, category, and transition. The method applies generally to analysis of changes among categories during time intervals, because the input is a standard contingency table for each time interval. We illustrate the method with a case study concerning change during three time intervals among four land categories in northeastern Massachusetts, USA. Modelers can perform the analysis using our computer program, which is free.
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