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Progress in Natural Science Volume 13, 2003 - Issue 9
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Research papers

A probabilistic paradigm for handling uncertain objects in GIS by randomized graph algebra

Wenzhong Shi Advanced Research Centre for Spatial Information Technology, Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, ChinaCorrespondence[email protected]
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Huayi Wu Advanced Research Centre for Spatial Information Technology, Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China
Pages 648-657 | Received 22 Jan 2003, Published online: 19 Nov 2006

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Opeyemi A. Zubair & Wei Ji. (2015) Assessing the Impact of Land Cover Classification Methods on the Accuracy of Urban Land Change Prediction. Canadian Journal of Remote Sensing 41:3, pages 170-190.
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Articles from other publishers (2)

Haijun Wang, Sanwei He, Xingjian Liu, Lan Dai, Peng Pan, Song Hong & Wenting Zhang. (2013) Simulating urban expansion using a cloud-based cellular automata model: A case study of Jiangxia, Wuhan, China. Landscape and Urban Planning 110, pages 99-112.
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Y. F. ShiF. X. Jin & M. Y. Li. (2006) A total entropy model of spatial data uncertainty. Journal of Information Science 32:4, pages 316-323.
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