Clustering of Companies in an Inhomogeneous Space

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F17%3A43897054" target="_blank" >RIV/60076658:12510/17:43897054 - 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

Clustering of Companies in an Inhomogeneous Space

Popis výsledku v původním jazyce

Locations of companies are modelled by inhomogeneous point process where inhomogeneity was solved by local scaling. As the scaling factor population was chosen because the hypothesis that the population in unevenly distributed and companies? choose their locations according to the number of the local population. To study relationships of companies the locally scaled L-function and global envelope test were used. The companies are located in three regions in the Czech Republic (Plzensky, Jihocesky and Vysocina) and contains information from the year 2013. The main aim of this paper is revealing whether positions of companies are spatially dependent or independent. It was found out that the companies tend to cluster even when the population is taken into account.

Název v anglickém jazyce

Clustering of Companies in an Inhomogeneous Space

Popis výsledku anglicky

Locations of companies are modelled by inhomogeneous point process where inhomogeneity was solved by local scaling. As the scaling factor population was chosen because the hypothesis that the population in unevenly distributed and companies? choose their locations according to the number of the local population. To study relationships of companies the locally scaled L-function and global envelope test were used. The companies are located in three regions in the Czech Republic (Plzensky, Jihocesky and Vysocina) and contains information from the year 2013. The main aim of this paper is revealing whether positions of companies are spatially dependent or independent. It was found out that the companies tend to cluster even when the population is taken into account.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10103 - Statistics and probability

Projekt

<a href="/cs/project/GA16-03708S" target="_blank" >GA16-03708S: Prostorová geometrická statistika náhodných množin v eukleidovských prostorech</a><br>

Návaznosti

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

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 11th International Scientific Conference INPROFORUM 2017. Innovations, Enterprises, Regions and Management

ISBN

978-80-7394-667-8

ISSN

2336-6788

e-ISSN

2336-6788

Počet stran výsledku

5

Strana od-do

333-337

Název nakladatele

Jihočeská univerzita v Českých Budějovicích, Ekonomická fakulta

Místo vydání

České Budějovice

Místo konání akce

České Budějovice

Datum konání akce

9. 11. 2017

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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