Detecting important categorical land changes while accounting for persistence
Detecting important categorical land changes while accounting for persistence
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DOI：
10.1016/j.agee.2003.09.008
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发表时间：
2004-02-01
影响因子：
6.6
通讯作者：
McEachern, M
中科院分区：
文献类型：
--
作者：
Pontius, RG;Shusas, E;McEachern, M
交叉制表矩阵是分析土地变化的基本起点，但许多科学家未能根据矩阵的各种成分对其进行分析，因此无法尽可能多地了解决定土地变化模式的潜在过程。本文采用交叉表矩阵，按净变动和互换以及总收益和总损失两对分量来评估土地类别的总变化。对这些成分的分析可以区分明显系统的景观过渡和看似随机的景观过渡。多分辨率分析提供了有关土地变化发生距离的附加信息。以马萨诸塞州中部四个土地类别的变化为例说明了方法。这些方法使科学家能够专注于系统性景观转变的最强信号，这最终是将模式与过程联系起来所必需的。(C)2003爱思唯尔B.V.保留所有权利。
The cross-tabulation matrix is a fundamental starting point in the analysis of land change, but many scientists fail to analyze the matrix according to its various components and thus fail to gain as much insight as possible concerning the potential processes that determine a pattern of land change. This paper examines the cross-tabulation matrix to assess the total change of land categories according to two pairs of components: net change and swap, as well as gross gains and gross losses. Analysis of these components can distinguish between a clearly systematic landscape transition and a seemingly random landscape transition. Multiple resolution analysis provides additional information concerning the distances over which land change occurs. An example of change among four land categories in central Massachusetts illustrates the methods. These methods enable scientists to focus on the strongest signals of systematic landscape transitions, which is necessary ultimately to link pattern to process. (C) 2003 Elsevier B.V. All rights reserved.