Empirical modelling of windthrow risk using GIS and logistic regression.

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F10%3A00170220" target="_blank" >RIV/62156489:43410/10:00170220 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Empirical modelling of windthrow risk using GIS and logistic regression.

Popis výsledku v původním jazyce

This paper is attempting to shed light on the basic approaches and methods (observational, empirical and mechanistic approach) of assessing wind damage hazard using widely available GIS software. The paper describes data acquisition and building dataset,determination of dependant and independent (explanatory) variables, creation of sample units and application of basic statistical methods to assess windthrow risk. The statistical method of logistic regression is used to predict the probability of thishazard. Logistic regression is one of the most commonly used tools for applied statistics and data mining and has proven to be a useful tool to estimate the probability of windthrow. Variables and coefficients of logistic model are calculated using statistical software SAS 9.1. Stepwise method is applied to aid in the formulation of model and finding the most important explanatory variables. Logistic regression formulas are incorporated into GIS and a windthrow hazard map is then derived

Název v anglickém jazyce

Empirical modelling of windthrow risk using GIS and logistic regression.

Popis výsledku anglicky

This paper is attempting to shed light on the basic approaches and methods (observational, empirical and mechanistic approach) of assessing wind damage hazard using widely available GIS software. The paper describes data acquisition and building dataset,determination of dependant and independent (explanatory) variables, creation of sample units and application of basic statistical methods to assess windthrow risk. The statistical method of logistic regression is used to predict the probability of thishazard. Logistic regression is one of the most commonly used tools for applied statistics and data mining and has proven to be a useful tool to estimate the probability of windthrow. Variables and coefficients of logistic model are calculated using statistical software SAS 9.1. Stepwise method is applied to aid in the formulation of model and finding the most important explanatory variables. Logistic regression formulas are incorporated into GIS and a windthrow hazard map is then derived

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název periodika

Geographia Technica

ISSN

1842-5135

e-ISSN

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Svazek periodika

9

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

RO - Rumunsko

Počet stran výsledku

11

Strana od-do

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Kód UT WoS článku

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EID výsledku v databázi Scopus

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