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Sustainability 2016, 8(1), 9; doi:10.3390/su8010009

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

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1
Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agricultrue and Forestry Sciences, Beijing 100097, China
2
National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
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College of Information and Electrical Engineering, China Agriculture University, Beijing 100083, China
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Key Laboratory of Agri-informatics, Ministry of Agriculture, Beijing 100097, China
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Beijing Engineering Research Center of Agricultural Internet of Things, Beijing 100097, China
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College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China
*
Author to whom correspondence should be addressed.
Academic Editors: Yichun Xie and Xinyue Ye
Received: 13 September 2015 / Revised: 20 November 2015 / Accepted: 10 December 2015 / Published: 29 December 2015
(This article belongs to the Special Issue Geo-Informatics in Resource Management & Sustainable Ecosystem)
View Full-Text   |   Download PDF [2834 KB, uploaded 4 January 2016]   |  

Abstract

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. View Full-Text
Keywords: land management; land-use change; spatio-temporal model; graph theory; network flow land management; land-use change; spatio-temporal model; graph theory; network flow
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Zhang, Y.; Gao, Y.; Gao, B.; Pan, Y.; Yan, M. An Efficient Graph-based Method for Long-term Land-use Change Statistics. Sustainability 2016, 8, 9.

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