J 2012

Usage of multidimensional statistic methods with MAXTOPEX factor for Windthrow risk assessment

MIKITA, Tomáš, Martin KLIMÁNEK and Jaromír KOLEJKA

Basic 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

International impact, Reviewed
Změněno: 17/3/2015 13:49, Dana Nesnídalová

Abstract

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)
Name: DYNAMICKÁ GEOVIZUALIZACE V KRIZOVÉM MANAGEMENTU
Investor: Ministry of Education, Youth and Sports of the CR, Dynamic Geovisualisation in Crises Management