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The non-stationarity of land-change patterns can potentially affect the accuracy of a spatially explicit land-change projection. Thus, methods for understanding this phenomenon are urgently needed. This paper presents a geospatial approach for detecting and characterizing the non-stationarity of land-change patterns and examining its potential effect on land-change modeling accuracy. It proposes two types of non-stationarity of land-change patterns, viz., non-stationarity+ and non-stationarity–. The former is characterized by an increase in the rate of land change, for example, non-built to built, across the calibration and simulation intervals along the gradient of an explanatory variable, for example, slope, while the latter is characterized by a decrease.
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Estoque et al. (2014) studied this question.
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