On Spatial Entropy in Geographical Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F09%3A00010313" target="_blank" >RIV/61989592:15310/09:00010313 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

On Spatial Entropy in Geographical Data

Popis výsledku v původním jazyce

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 duringthe 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 ofthe 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.

Název v anglickém jazyce

On Spatial Entropy in Geographical Data

Popis výsledku anglicky

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 duringthe 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 ofthe 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.

Druh

D - Stať ve sborníku

CEP obor

DE - Zemský magnetismus, geodesie, geografie

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2009

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

16. ročník mezinárodního sympozia GIS Ostrava 2009 - Sborník

ISBN

978-80-87294-00-0

ISSN

—

e-ISSN

—

Počet stran výsledku

111

Strana od-do

—

Název nakladatele

TANGER spol. s r.o.

Místo vydání

Ostrava

Místo konání akce

—

Datum konání akce

—

Typ akce podle státní příslušnosti

—

Kód UT WoS článku

—