FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017033744> ?p ?o ?g. }

• W2017033744 endingPage "50" @default.
• W2017033744 startingPage "33" @default.
• W2017033744 abstract "In the present study, logistic regression analysis has been used to create a landslide hazard map for Sajarood basin, Northern Iran. At first, an inventory map of 95 landslides was used to produce a dependent variable, a value of 0 for absence and 1 for presence of landslides. The effect of causative parameters on landslide occurrence was assessed by the corresponding coefficient that appears in the logistic regression function. The interpretation of the coefficients shows that the road network plays the major role in determining landslide occurrence. Elevation, slope curvature, rainfall and distance to fault were excluded from the final analysis, because these variables do not significantly add to the predictive power of the logistic regression. After running the final probability function into Arc/view 3.2 software, a landslide susceptibility map has been produced. The accuracy assessment shows an overall accuracy of the landslide susceptibility map to be 85.3%. An area of 53.01% is found to be located in a very low, 18.33% in low, 20.96% in moderate and 7.7% in high-risk regions. The proposed susceptibility map was tested using –2LL, Cox and Snell R 2, Nagelkerk R 2 and Roc procedure, and it is found to be very reliable." @default.
• W2017033744 created "2016-06-24" @default.
• W2017033744 creator A5034954473 @default.
• W2017033744 creator A5035752085 @default.
• W2017033744 creator A5070729517 @default.
• W2017033744 creator A5088037302 @default.
• W2017033744 creator A5088130162 @default.
• W2017033744 date "2011-03-01" @default.
• W2017033744 modified "2023-09-30" @default.
• W2017033744 title "GIS-based spatial prediction of landslide susceptibility using logistic regression model" @default.
• W2017033744 cites W1562396990 @default.
• W2017033744 cites W1967335776 @default.
• W2017033744 cites W1967902943 @default.
• W2017033744 cites W1969477520 @default.
• W2017033744 cites W1978972707 @default.
• W2017033744 cites W1979486410 @default.
• W2017033744 cites W1983029050 @default.
• W2017033744 cites W1988816342 @default.
• W2017033744 cites W1989158271 @default.
• W2017033744 cites W1992211205 @default.
• W2017033744 cites W1994468989 @default.
• W2017033744 cites W1996385777 @default.
• W2017033744 cites W1996516375 @default.
• W2017033744 cites W1997556502 @default.
• W2017033744 cites W2002139005 @default.
• W2017033744 cites W2007722673 @default.
• W2017033744 cites W2010121494 @default.
• W2017033744 cites W2012853691 @default.
• W2017033744 cites W2018612134 @default.
• W2017033744 cites W2020716065 @default.
• W2017033744 cites W2020924270 @default.
• W2017033744 cites W2021693202 @default.
• W2017033744 cites W2022418697 @default.
• W2017033744 cites W2027387749 @default.
• W2017033744 cites W2028124403 @default.
• W2017033744 cites W2029608886 @default.
• W2017033744 cites W2044910337 @default.
• W2017033744 cites W2056214587 @default.
• W2017033744 cites W2057039778 @default.
• W2017033744 cites W2057139024 @default.
• W2017033744 cites W2067868826 @default.
• W2017033744 cites W2071470674 @default.
• W2017033744 cites W2076497114 @default.
• W2017033744 cites W2082622325 @default.
• W2017033744 cites W2084518531 @default.
• W2017033744 cites W2087983598 @default.
• W2017033744 cites W2090462997 @default.
• W2017033744 cites W2103540160 @default.
• W2017033744 cites W2113746882 @default.
• W2017033744 cites W2122447387 @default.
• W2017033744 cites W2143192068 @default.
• W2017033744 cites W2147167032 @default.
• W2017033744 cites W2147555471 @default.
• W2017033744 cites W2157291760 @default.
• W2017033744 cites W4299689471 @default.
• W2017033744 cites W4301003819 @default.
• W2017033744 doi "https://doi.org/10.1080/19475705.2010.532975" @default.
• W2017033744 hasPublicationYear "2011" @default.
• W2017033744 type Work @default.
• W2017033744 sameAs 2017033744 @default.
• W2017033744 citedByCount "69" @default.
• W2017033744 countsByYear W20170337442012 @default.
• W2017033744 countsByYear W20170337442013 @default.
• W2017033744 countsByYear W20170337442014 @default.
• W2017033744 countsByYear W20170337442016 @default.
• W2017033744 countsByYear W20170337442017 @default.
• W2017033744 countsByYear W20170337442018 @default.
• W2017033744 countsByYear W20170337442019 @default.
• W2017033744 countsByYear W20170337442020 @default.
• W2017033744 countsByYear W20170337442021 @default.
• W2017033744 countsByYear W20170337442022 @default.
• W2017033744 countsByYear W20170337442023 @default.
• W2017033744 crossrefType "journal-article" @default.
• W2017033744 hasAuthorship W2017033744A5034954473 @default.
• W2017033744 hasAuthorship W2017033744A5035752085 @default.
• W2017033744 hasAuthorship W2017033744A5070729517 @default.
• W2017033744 hasAuthorship W2017033744A5088037302 @default.
• W2017033744 hasAuthorship W2017033744A5088130162 @default.
• W2017033744 hasBestOaLocation W20170337441 @default.
• W2017033744 hasConcept C105795698 @default.
• W2017033744 hasConcept C114793014 @default.
• W2017033744 hasConcept C127313418 @default.
• W2017033744 hasConcept C151956035 @default.
• W2017033744 hasConcept C152877465 @default.
• W2017033744 hasConcept C165205528 @default.
• W2017033744 hasConcept C175551986 @default.
• W2017033744 hasConcept C178790620 @default.
• W2017033744 hasConcept C185592680 @default.
• W2017033744 hasConcept C186295008 @default.
• W2017033744 hasConcept C205649164 @default.
• W2017033744 hasConcept C2524010 @default.
• W2017033744 hasConcept C33923547 @default.
• W2017033744 hasConcept C37054046 @default.
• W2017033744 hasConcept C49261128 @default.
• W2017033744 hasConcept C58640448 @default.
• W2017033744 hasConcept C83546350 @default.
• W2017033744 hasConceptScore W2017033744C105795698 @default.
• W2017033744 hasConceptScore W2017033744C114793014 @default.

• next