An assessment on the use of bivariate, multivariate and soft computing techniques for collapse susceptibility in GIS environ
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F13%3A86088911" target="_blank" >RIV/61989100:27350/13:86088911 - isvavai.cz</a>
Result on the web
<a href="http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=GeneralSearch&qid=3&SID=Q1w2CFbxYOGhCvgPPkg&page=1&doc=4" target="_blank" >http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=GeneralSearch&qid=3&SID=Q1w2CFbxYOGhCvgPPkg&page=1&doc=4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s12040-013-0281-3" target="_blank" >10.1007/s12040-013-0281-3</a>
Alternative languages
Result language
angličtina
Original language name
An assessment on the use of bivariate, multivariate and soft computing techniques for collapse susceptibility in GIS environ
Original language description
The paper presented herein compares and discusses the use of bivariate, multivariate and soft computing techniques for collapse susceptibility modelling. Conditional probability (CP), logistic regression (LR) and artificial neural networks (ANN) models representing the bivariate, multivariate and soft computing techniques were used in GIS based collapse susceptibility mapping in an area from Sivas basin (Turkey). Collapse-related factors, directly or indirectly related to the causes of collapse occurrence, such as distance from faults, slope angle and aspect, topographical elevation, distance from drainage, topographic wetness index (TWI), stream power index (SPI), Normalized Difference Vegetation Index (NDVI) by means of vegetation cover, distance from roads and settlements were used in the collapse susceptibility analyses. In the last stage of the analyses, collapse susceptibility maps were produced from the models, and they were then compared by means of their validations. However,
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JN - Civil engineering
OECD FORD branch
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Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Earth System Science
ISSN
0253-4126
e-ISSN
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Volume of the periodical
122
Issue of the periodical within the volume
APR 2013
Country of publishing house
US - UNITED STATES
Number of pages
18
Pages from-to
371-388
UT code for WoS article
000317606500008
EID of the result in the Scopus database
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