Number of the records: 1  

Spatial data modelling and maximum entropy theory

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    SYSNO ASEP0411293
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JOstatní články
    TitleSpatial data modelling and maximum entropy theory
    TitleModelování prostorových dat a teorie maximální entropie
    Author(s) Klimešová, Dana (UTIA-B)
    Ocelíková, E. (SK)
    Source TitleAgricultural Economics = Zemědělská ekonomika - ISSN 0139-570X
    Roč. 51, č. 2 (2005), s. 80-83
    Number of pages4 s.
    Languageeng - English
    CountryCZ - Czech Republic
    Keywordsspatial data classification ; distribution function ; error distribution
    Subject RIVBD - Theory of Information
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    AnnotationSpatial data modelling and consequential error estimation of the distribution functionare key points of spatial analysis. For many practical probblems, it is imposible to hypothesize distribution functions firstly and some distribution models, such as Gaussian distribution, may not suit to complicated distribution in practice. The paper shows the possibility of approach based on the maximum entropy theory that can optimally describe the spatial data distribution and gives the actual error estimation.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2006

Number of the records: 1  

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