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

Sustainability

Yipeng Zhang¹  Yunbing Gao¹  Bingbo Gao¹  Yuchun Pan¹  Mingyang Yan¹  Yichun Xie² 

[1] Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agricultrue and Forestry Sciences, Beijing 100097, China;;Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agricultrue and Forestry Sciences, Beijing 100097, China

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

DOI  :  10.3390/su8010009

来源: mdpi

【 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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.