Application of Spatial Reasoning in Predicting Rainfall Situation for Two Disjoint Areas - Computer and Computing Technologies in Agriculture IX - Part II Access content directly
Conference Papers Year : 2016

Application of Spatial Reasoning in Predicting Rainfall Situation for Two Disjoint Areas

Jian Li
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  • PersonId : 1020385
Yanbo Huang
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  • PersonId : 1020386
Rujing Yao
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  • PersonId : 1020387
Yuanyuan Zhang
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  • PersonId : 1020388

Abstract

In this article, we extend the 9 - intersection matrix to 27 - intersection matrix on the basis of RCC8 relations, propose 27 - intersection model between two disjoint regions and a simple region. Giving the algorithm, 31 kinds of topological relations between two disjoint regions and a simple region by specific procedure, and give schematic diagrams of the 31 kinds of topological relations, verifying 31 kinds of topological relations are achievable. In order to further research the topological relations between two disjoint regions and a simple region, in this article we have completed the reasoning for topological relations between two disjoint regions and a simple region, and given the conceptual neighborhood graph. By comparison of related work, we can draw a conclusion that the 27 - intersection model is superior to the expressive power of the 8-intersection model. Through the representation model of topological relations established in this article, we can predict the rainfall situation on two areas, and give the probability of rainfall in different regions.
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hal-01614175 , version 1 (10-10-2017)

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Jian Li, Yanbo Huang, Rujing Yao, Yuanyuan Zhang. Application of Spatial Reasoning in Predicting Rainfall Situation for Two Disjoint Areas. 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. pp.404-416, ⟨10.1007/978-3-319-48354-2_40⟩. ⟨hal-01614175⟩
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