Detailed Information on Publication Record
2012
Usage of multidimensional statistic methods with MAXTOPEX factor for Windthrow risk assessment
MIKITA, Tomáš, Martin KLIMÁNEK and Jaromír KOLEJKABasic information
Original name
Usage of multidimensional statistic methods with MAXTOPEX factor for Windthrow risk assessment
Name in Czech
Usage of multidimensional statistic methods with MAXTOPEX factor for Windthrow risk assessment
Authors
MIKITA, Tomáš (203 Czech Republic), Martin KLIMÁNEK (203 Czech Republic) and Jaromír KOLEJKA (203 Czech Republic, guarantor, belonging to the institution)
Edition
Allgemeine Forst- und Jagdzeitung, Bad Orb, J. D. Sauerländer's Verlag, 2012, 0002-5852
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
Earth magnetism, geodesy, geography
Country of publisher
Germany
Confidentiality degree
není předmětem státního či obchodního tajemství
Impact factor
Impact factor: 0.239
RIV identification code
RIV/00216224:14410/12:00060811
Organization unit
Faculty of Education
UT WoS
000305599000003
Keywords (in Czech)
polom - GIS - topografická expozice - MAXTOPEX - diskriminační analýza - logistická regrese
Keywords in English
windthrow - GIS - topographic exposure - MAXTOPEX - discriminant analysis - logistic regression
Tags
Tags
International impact, Reviewed
Změněno: 17/3/2015 13:49, Dana Nesnídalová
V originále
Windthrow is a result of complex interactions between natural and anthropogenic factors. Its occurrence is influenced by a number of climatic, topographic, physical, soil, biological and, to a certain extent, also anthropogenic factors. This paper describes different means of windthrow risk assessment through multidimensional statistical methods with emphasis on the topographic exposure which after further processing yields the MAXTOPEX factor. The models are created on the source data of windthrow locations in Šumava National Park after the Kyrill windstorm in January 2007.
In Czech
Windthrow is a result of complex interactions between natural and anthropogenic factors. Its occurrence is influenced by a number of climatic, topographic, physical, soil, biological and, to a certain extent, also anthropogenic factors. This paper describes different means of windthrow risk assessment through multidimensional statistical methods with emphasis on the topographic exposure which after further processing yields the MAXTOPEX factor. The models are created on the source data of windthrow locations in Šumava National Park after the Kyrill windstorm in January 2007.
Links
| MSM0021622418, plan (intention) |
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