Titlebook: Spatial Analysis and GeoComputation; Selected Essays Manfred M. Fischer Book 2006 Springer-Verlag Berlin Heidelberg 2006 Adaptive pattern c

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书目名称Spatial Analysis and GeoComputation影响因子(影响力)




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书目名称Spatial Analysis and GeoComputation网络公开度学科排名




书目名称Spatial Analysis and GeoComputation被引频次




书目名称Spatial Analysis and GeoComputation被引频次学科排名




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书目名称Spatial Analysis and GeoComputation年度引用学科排名




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书目名称Spatial Analysis and GeoComputation读者反馈学科排名

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Expert Systems and Artificial Neural Networks for Spatial Analysis and Modellinghrough fuzzy logic, expert systems and neural network technologies. A specific focus of the discussion is on the expert system and neural network components of the system, technologies which had been relatively unknown in the GIS community at the time this chapter was written.

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Spatial Interaction Models and the Role of Geographic Information Systems This raises the question of how spatial models should be integrated with GISystems. This chapter discusses possibilities and problems of interfacing spatial interaction models and GISystems from a conceptual rather than a technical point of view. The contribution illustrates that the integration be

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Expert Systems and Artificial Neural Networks for Spatial Analysis and Modellingnvironment. The efficient and effective integration of spatial data, spatial analytic procedures and models, procedural and declarative knowledge is through fuzzy logic, expert systems and neural network technologies. A specific focus of the discussion is on the expert system and neural network comp

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Computational Neural Networks — Tools for Spatial Data Analysisial data analysis. The text covers a wide range of topics important for developing neural networks into an advanced spatial analytic tool for non-parametric modelling. The topics covered include a definition of computational neural networks in mathematical terms and a careful and detailed descriptio

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Artificial Neural Networks: A New Approach to Modelling Interregional Telecommunication Flowsof modelling interregional telecommunication traffic in Austria and its performance is evaluated in comparison with the classical regression approach of the gravity type. The application of this neural network approach may be viewed as a three-stage process. The first stage refers to the identificat

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A Genetic-Algorithms Based Evolutionary Computational Neural Network for Modelling Spatial Interaction. The specification of a problem adequate network topology is a key issue and the primary focus of this contribution. Up to now, this issue has been either completely neglected in spatial application domains, or tackled by search heuristics (see Fischer and Gopal 1994). With the view of modelling