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
—