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  • The aim of the article is to make one keep that the using of the computation of the entropy and spatial entropy in geographical sciences should be performed in every occasion in order to obtain better results. There is always a loss of information during the process of vizualization and the amount of information has never been taken into account in the visualization and modelling of spatial phenomena. Abstract concept of the entropy has penetrated info many scientific fields and thus has got many definitions. The entropy in processing of geographical data represents some kind of uncertainty of the upcoming result. The spatial distribution of an investigated phenomenon that should be visualized or modelled is related to many factors. An understanding of the essence requires to select the optimum distribution of the measured data in order to obtain the maximum information. In theory, a well-designed data network can accurately represent and provide the needed information of a phenomenon. Another questio
  • The aim of the article is to make one keep that the using of the computation of the entropy and spatial entropy in geographical sciences should be performed in every occasion in order to obtain better results. There is always a loss of information during the process of vizualization and the amount of information has never been taken into account in the visualization and modelling of spatial phenomena. Abstract concept of the entropy has penetrated info many scientific fields and thus has got many definitions. The entropy in processing of geographical data represents some kind of uncertainty of the upcoming result. The spatial distribution of an investigated phenomenon that should be visualized or modelled is related to many factors. An understanding of the essence requires to select the optimum distribution of the measured data in order to obtain the maximum information. In theory, a well-designed data network can accurately represent and provide the needed information of a phenomenon. Another questio (en)
Title
  • On Spatial Entropy in Geographical Data
  • On Spatial Entropy in Geographical Data (en)
skos:prefLabel
  • On Spatial Entropy in Geographical Data
  • On Spatial Entropy in Geographical Data (en)
skos:notation
  • RIV/61989592:15310/09:00010313!RIV10-MSM-15310___
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  • 331459
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  • RIV/61989592:15310/09:00010313
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  • GIS; Spatial Entropy; Information Theory; Visualization (en)
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  • [E62833F4694F]
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  • Ostrava
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  • 16. ročník mezinárodního sympozia GIS Ostrava 2009 - Sborník
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  • Tuček, Pavel
  • Voženílek, Vít
  • Pászto, Vít
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  • TANGER spol. s r.o.
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  • 978-80-87294-00-0
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  • 15310
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