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Clustering of Companies in an Inhomogeneous Space

The result's identifiers

  • Result code in 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>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Clustering of Companies in an Inhomogeneous Space

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

    <a href="/en/project/GA16-03708S" target="_blank" >GA16-03708S: Spatial geometrical statistics of random sets in Euclidean spaces</a><br>

  • Continuities

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

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    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

  • Number of pages

    5

  • Pages from-to

    333-337

  • Publisher name

    Jihočeská univerzita v Českých Budějovicích, Ekonomická fakulta

  • Place of publication

    České Budějovice

  • Event location

    České Budějovice

  • Event date

    Nov 9, 2017

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article