Spatial statistics: Recognition of Spatial Relationships of Companies

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F15%3A43890226" target="_blank" >RIV/60076658:12510/15:43890226 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Spatial statistics: Recognition of Spatial Relationships of Companies
Original language description
The paper solves the methodology for recognition of spatial relationships of bankruptcy and creditability indicators in Zapadocesky, Jihocesky and Vysocina regions. The main aim of our research is revealing whether companies are spatially dependent (behaviour of indices is same or different) or whether companies are spatially independent. Spatial statistics will be focused on relationships within the sector as well as between sectors. The classification model IN 95 is used in the analysis and it will bemodelled by marked point process. The main tool will be the analysis of Ripley's K-function or other second order characteristics. Sectors and company sizes will be used as marks of points and they will be incorporated in the studied characteristics. For introduction of the methodology we applied these methods on a sample of trees location in Redwood.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 9th International Scientific Conference INPROFORUM. Common challenges - Different solutions - Mutual dialogue
ISBN
978-80-7394-536-7
ISSN
2336-6788
e-ISSN
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Number of pages
5
Pages from-to
129-133
Publisher name
Jihočeská univerzita v Českých Budějovicích, Ekonomická fakulta
Place of publication
České Budějovice
Event location
České Budějovice
Event date
Nov 5, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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