An Efficient Graph-based Method for Long-term Land-use Change Statistics

文献类型： 外文期刊

第一作者： Zhang, Yipeng

作者： Zhang, Yipeng;Gao, Yunbing;Gao, Bingbo;Pan, Yuchun;Yan, Mingyang;Zhang, Yipeng;Gao, Yunbing;Gao, Bingbo;Pan, Yuchun;Yan, Mingyang;Gao, Yunbing;Pan, Yuchun;Pan, Yuchun;Yan, Mingyang

作者机构：

关键词： land management;land-use change;spatio-temporal model;graph theory;network flow

期刊名称：SUSTAINABILITY （ 影响因子：3.251； 五年影响因子：3.473 ）

ISSN： 2071-1050

年卷期： 2016 年 8 卷 1 期

页码：

收录情况： SCI

摘要： Statistical analysis of land-use change plays an important role in sustainable land management and has received increasing attention from scholars and administrative departments. However, the statistical process involving spatial overlay analysis remains difficult and needs improvement to deal with mass land-use data. In this paper, we introduce a spatio-temporal flow network model to reveal the hidden relational information among spatio-temporal entities. Based on graph theory, the constant condition of saturated multi-commodity flow is derived. A new method based on a network partition technique of spatio-temporal flow network are proposed to optimize the transition statistical process. The effectiveness and efficiency of the proposed method is verified through experiments using land-use data in Hunan from 2009 to 2014. In the comparison among three different land-use change statistical methods, the proposed method exhibits remarkable superiority in efficiency.

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