Modelování prostorových dat a teorie maximální entropie
Author(s)
Klimešová, Dana (UTIA-B) Ocelíková, E. (SK)
Source Title
Agricultural Economics = Zemědělská ekonomika
- ISSN 0139-570X
Roč. 51, č. 2 (2005), s. 80-83
Number of pages
4 s.
Language
eng - English
Country
CZ - Czech Republic
Keywords
spatial data classification ; distribution function ; error distribution
Subject RIV
BD - Theory of Information
CEZ
AV0Z10750506 - UTIA-B (2005-2011)
Annotation
Spatial 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.