About: On Estimation of the Spatial Clustering: Case Study of Epidemiological Data In Olomouc Region, Czech Republic

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About: On Estimation of the Spatial Clustering: Case Study of Epidemiological Data In Olomouc Region, Czech Republic Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://ceur-ws.org/Vol-971/paper10.pdf
Description	An evaluation of spatial patterns and a clustering play an important role among methods of spatial statistics. However, traditional clustering techniques are seldom suitable for analyses of spatial data and patterns because they usually do not count on spatial relations and qualities of objects. This paper aims to introduce usage of methods of spatial clustering estimation, which are based mainly on the position of events and not only on the events attribute space. Firstly, the methods of the spatial clustering or randomness estimation are introduced and applied on a real dataset, then spatial clusters are identified and the intensity of processes is quantified. Non-spatial properties and a time are considered together with the location data. Also methods of the multivariate statistics are used for the purpose of the classification of regions with similar properties. Particularly, occurrence data of selected infectious diseases in Olomouc Region in period 2004 - 2010 provided by Regional Public Health Service in Olomouc are used for the case study. An evaluation of spatial patterns and a clustering play an important role among methods of spatial statistics. However, traditional clustering techniques are seldom suitable for analyses of spatial data and patterns because they usually do not count on spatial relations and qualities of objects. This paper aims to introduce usage of methods of spatial clustering estimation, which are based mainly on the position of events and not only on the events attribute space. Firstly, the methods of the spatial clustering or randomness estimation are introduced and applied on a real dataset, then spatial clusters are identified and the intensity of processes is quantified. Non-spatial properties and a time are considered together with the location data. Also methods of the multivariate statistics are used for the purpose of the classification of regions with similar properties. Particularly, occurrence data of selected infectious diseases in Olomouc Region in period 2004 - 2010 provided by Regional Public Health Service in Olomouc are used for the case study. (en)
Title	On Estimation of the Spatial Clustering: Case Study of Epidemiological Data In Olomouc Region, Czech Republic On Estimation of the Spatial Clustering: Case Study of Epidemiological Data In Olomouc Region, Czech Republic (en)
skos:prefLabel	On Estimation of the Spatial Clustering: Case Study of Epidemiological Data In Olomouc Region, Czech Republic On Estimation of the Spatial Clustering: Case Study of Epidemiological Data In Olomouc Region, Czech Republic (en)
skos:notation	RIV/61989592:15310/13:33145314!RIV14-MSM-15310___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(EE2.3.20.0170)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Tuček, Pavel Dvorský, Jiří Marek, Lukáš Pászto, Vít
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Palackého v Olomouci / Přírodovědecká fakulta
http://linked.open...dnocenehoVysledku	93701
http://linked.open...ai/riv/idVysledku	RIV/61989592:15310/13:33145314
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Spatial clustering, Spatial autocorrelation, Disease mapping, Spatial pattern (en)
http://linked.open.../riv/klicoveSlovo	Spatial pattern Disease mapping Spatial autocorrelation Spatial clustering
http://linked.open...ontrolniKodProRIV	[1C9E12F4705B]
http://linked.open...v/mistoKonaniAkce	Písek
http://linked.open...i/riv/mistoVydani	Ostrava
http://linked.open...i/riv/nazevZdroje	Proceedings of the Dateso 2013 Annual International Workshop on DAtabases, TExts, Specifications and Objects
http://linked.open...in/vavai/riv/obor	BB
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Building of Research Team in the Field of Environmental Modeling and the Use of Geoinformation Systems with the Consequence in Participation in International Networks and Programs
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Dvorský, Jiří Tuček, Pavel Marek, Lukáš Pászto, Vít
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2013-04-17 (xsd:date)
issn	1613-0073
number of pages	12 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Vysoká škola báňská - Technická univerzita Ostrava
https://schema.org/isbn	978-80-248-2968-5
http://localhost/t...ganizacniJednotka	15310

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