Methods of Spatial Clustering in a City

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F12%3A86080311" target="_blank" >RIV/61989100:27350/12:86080311 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Methods of Spatial Clustering in a City

Popis výsledku v původním jazyce

The study of inequality of socioeconomic phenomena in urban areas may provide useful recommendations for targeted social policy, local measurements, urban planning and investment strategies. Among various tools we select spatial heterogeneity indexes, spatial autocorrelation measures, the LISA analysis and the spatial hierarchical clustering. The most promising outputs we obtain from last two methods. LISA allows indicating seeds of segregation and detecting localities even not nominated by experts yet.The LISA analysis reveals clusters of anomalous values, but results are heavily influenced by neighbourhoods. The methods of spatial hierarchical clustering are implemented in a new database application which is under development. This application standardizes data, calculates measures of similarity among objects, applies various methods of aggregation and applies different spatial relationships. First results show the ability to identify homogeneous clusters inside selected localities;

Název v anglickém jazyce

Methods of Spatial Clustering in a City

Popis výsledku anglicky

The study of inequality of socioeconomic phenomena in urban areas may provide useful recommendations for targeted social policy, local measurements, urban planning and investment strategies. Among various tools we select spatial heterogeneity indexes, spatial autocorrelation measures, the LISA analysis and the spatial hierarchical clustering. The most promising outputs we obtain from last two methods. LISA allows indicating seeds of segregation and detecting localities even not nominated by experts yet.The LISA analysis reveals clusters of anomalous values, but results are heavily influenced by neighbourhoods. The methods of spatial hierarchical clustering are implemented in a new database application which is under development. This application standardizes data, calculates measures of similarity among objects, applies various methods of aggregation and applies different spatial relationships. First results show the ability to identify homogeneous clusters inside selected localities;

Druh

D - Stať ve sborníku

CEP obor

AO - Sociologie, demografie

OECD FORD obor

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Projekt

<a href="/cs/project/GA403%2F09%2F1720" target="_blank" >GA403/09/1720: Industriální město v post-industriální společnosti</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

Geography and Geoinformatics: Challenge for Practise and Education : proceedings of 19th international conference : [Brno, September 8-9, 2011]

ISBN

978-80-210-5799-9

ISSN

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e-ISSN

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Počet stran výsledku

11

Strana od-do

1-11

Název nakladatele

Masaryk University

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

8. 9. 2011

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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