Using multi variate data mining techniques for estimating fire susceptibility of Tyrolean forests-Reference-Cited by-同舟云学术

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Using multi variate data mining techniques for estimating fire susceptibility of Tyrolean forests

Published:2014-09 Issue: Volume:53 Page:258-270
ISSN:0143-6228
Container-title:Applied Geography
language:en
Short-container-title:Applied Geography

Author:

Arpaci A.,Malowerschnig B.,Sass O.,Vacik H.

Funder

Austrian Climate Research Program (ACRP)

Publisher

Elsevier BV

Subject

Tourism, Leisure and Hospitality Management,General Environmental Science,Geography, Planning and Development,Forestry

Reference58 articles.

1. Österreichische Waldinventur 2007/2009, BFW-Praxisinformation Nr. 24;AFI, Austrian Forest Inventory,2011

2. Modeling human-caused forest fire ignition for assessing forest fire danger in Austria;Arndt;Journal of Biogeosciences and Forestry,2013

3. Selecting the best performing fire weather indices for Austrian ecoregions;Arpaci;Theoretical and Applied Climatology,2013

4. Species distribution models and ecological theory: a critical assessment and some possible new approaches;Austin;Ecological Modelling,2007

5. Interactions between fire and Spruce beetles in a subalpine Rocky Mountains forest landscape;Bebi;Ecology,2003

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