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Summary: P1: tpa
RAAG_A_288073 RAAG.cls January 23, 2008 19:32
Survival Analysis in Land Change Science:
Integrating with GIScience to Address Temporal
Complexities
Li An
and Daniel G. Brown
Department of Geography, San Diego State University
School of Natural Resources and Environment, University of Michigan
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Although land changes are characterized by dimensionality in both space and time, and a multitude of methods
and techniques have been developed to model them, the temporal dimension has seldom been adequately
addressed by commonly used methods. In the context of temporal complexities represented in different space
time data models, this study aims to establish a framework for applying survival analysis theory and techniques to
geographical land change modeling. Our efforts focus on (1) introducing basic concepts in survival analysis and
their connections to spacetime data commonly used in land change analysis, (2) using survival metrics to describe
temporal patterns that are not easily detected by other methods, and (3) applying survival analysis methods to
disclose effects of varying temporal patterns and uncertainties. Our findings suggest that survival analysis, coupled
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