FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4283796688> ?p ?o ?g. }

• W4283796688 endingPage "1055" @default.
• W4283796688 startingPage "1055" @default.
• W4283796688 abstract "Machine learning-based methods are commonly used for landslide susceptibility mapping. Most of the recent publications focused on quantitative analysis, i.e., improving data processing methods, comparing and perfecting the data-driven model itself, but rarely taking the qualitative aspects of the local landslide occurrences into consideration and the further analysis of the key features was always lacking. This study aims to combine qualitative and quantitative analysis and examine its effect on mapping accuracy; based on the feature importance ranks and the related literature, the key features for identifying landslide/non-landslide points of different sub-zones were further analyzed. Before modeling, the study area Yunyang County, Chongqing City, China, was manually divided into four sub-zones based on the information from geological hazards exploration in Chongqing, including the mechanism of landslide formation and sliding failure and geomorphic unit characteristics. Upon the qualitative analysis basis, five grid searches tuned random forest models (one for the whole region and four for the sub-zones independently) were established by 1654 data points and 20 conditioning features. Compared with the conventional data-driven method, the integrated quantitative evaluation based on the qualitative analysis results showed higher reliability, which not only improved the mapping accuracy but also increased the AUC values of all four sub-models, which were 8.8%, 2.3%, 1.9% and 9.1% higher than that of the parent model. Moreover, the quantitative evaluation based on the qualitative analysis revealed the key factors affecting local landslide formation. Therefore, qualitative analysis is recommended in future landslide susceptibility modeling with the additional combination of data-driven methods." @default.
• W4283796688 created "2022-07-05" @default.
• W4283796688 creator A5004350213 @default.
• W4283796688 creator A5044266815 @default.
• W4283796688 creator A5049099959 @default.
• W4283796688 creator A5049723273 @default.
• W4283796688 creator A5050822822 @default.
• W4283796688 creator A5068416037 @default.
• W4283796688 date "2022-07-04" @default.
• W4283796688 modified "2023-10-14" @default.
• W4283796688 title "Landslide Susceptibility Research Combining Qualitative Analysis and Quantitative Evaluation: A Case Study of Yunyang County in Chongqing, China" @default.
• W4283796688 cites W1530689820 @default.
• W4283796688 cites W1749922565 @default.
• W4283796688 cites W2006069992 @default.
• W4283796688 cites W2034316820 @default.
• W4283796688 cites W2042229599 @default.
• W4283796688 cites W2050109343 @default.
• W4283796688 cites W2054512946 @default.
• W4283796688 cites W2057039778 @default.
• W4283796688 cites W2094401449 @default.
• W4283796688 cites W2121885753 @default.
• W4283796688 cites W2155544089 @default.
• W4283796688 cites W2158207287 @default.
• W4283796688 cites W2461899692 @default.
• W4283796688 cites W2576418105 @default.
• W4283796688 cites W2605132712 @default.
• W4283796688 cites W2626844388 @default.
• W4283796688 cites W2749324215 @default.
• W4283796688 cites W2793831793 @default.
• W4283796688 cites W2804535652 @default.
• W4283796688 cites W2805531306 @default.
• W4283796688 cites W2990262107 @default.
• W4283796688 cites W3013498854 @default.
• W4283796688 cites W3015779580 @default.
• W4283796688 cites W3016556330 @default.
• W4283796688 cites W3020029383 @default.
• W4283796688 cites W3088517246 @default.
• W4283796688 cites W3100408975 @default.
• W4283796688 cites W3111588349 @default.
• W4283796688 cites W3132615775 @default.
• W4283796688 cites W3159603761 @default.
• W4283796688 cites W3168603321 @default.
• W4283796688 cites W3194762287 @default.
• W4283796688 cites W3212658433 @default.
• W4283796688 cites W4205400332 @default.
• W4283796688 cites W4206280001 @default.
• W4283796688 cites W4206592628 @default.
• W4283796688 cites W4210779195 @default.
• W4283796688 cites W4212830900 @default.
• W4283796688 cites W4212883601 @default.
• W4283796688 cites W4226551898 @default.
• W4283796688 cites W4280525102 @default.
• W4283796688 cites W4281565799 @default.
• W4283796688 cites W4283315406 @default.
• W4283796688 doi "https://doi.org/10.3390/f13071055" @default.
• W4283796688 hasPublicationYear "2022" @default.
• W4283796688 type Work @default.
• W4283796688 citedByCount "11" @default.
• W4283796688 countsByYear W42837966882022 @default.
• W4283796688 countsByYear W42837966882023 @default.
• W4283796688 crossrefType "journal-article" @default.
• W4283796688 hasAuthorship W4283796688A5004350213 @default.
• W4283796688 hasAuthorship W4283796688A5044266815 @default.
• W4283796688 hasAuthorship W4283796688A5049099959 @default.
• W4283796688 hasAuthorship W4283796688A5049723273 @default.
• W4283796688 hasAuthorship W4283796688A5050822822 @default.
• W4283796688 hasAuthorship W4283796688A5068416037 @default.
• W4283796688 hasBestOaLocation W42837966881 @default.
• W4283796688 hasConcept C124101348 @default.
• W4283796688 hasConcept C127313418 @default.
• W4283796688 hasConcept C144024400 @default.
• W4283796688 hasConcept C185592680 @default.
• W4283796688 hasConcept C186295008 @default.
• W4283796688 hasConcept C187320778 @default.
• W4283796688 hasConcept C190248442 @default.
• W4283796688 hasConcept C205649164 @default.
• W4283796688 hasConcept C3018587665 @default.
• W4283796688 hasConcept C36289849 @default.
• W4283796688 hasConcept C41008148 @default.
• W4283796688 hasConcept C43617362 @default.
• W4283796688 hasConcept C58640448 @default.
• W4283796688 hasConcept C95986675 @default.
• W4283796688 hasConceptScore W4283796688C124101348 @default.
• W4283796688 hasConceptScore W4283796688C127313418 @default.
• W4283796688 hasConceptScore W4283796688C144024400 @default.
• W4283796688 hasConceptScore W4283796688C185592680 @default.
• W4283796688 hasConceptScore W4283796688C186295008 @default.
• W4283796688 hasConceptScore W4283796688C187320778 @default.
• W4283796688 hasConceptScore W4283796688C190248442 @default.
• W4283796688 hasConceptScore W4283796688C205649164 @default.
• W4283796688 hasConceptScore W4283796688C3018587665 @default.
• W4283796688 hasConceptScore W4283796688C36289849 @default.
• W4283796688 hasConceptScore W4283796688C41008148 @default.
• W4283796688 hasConceptScore W4283796688C43617362 @default.
• W4283796688 hasConceptScore W4283796688C58640448 @default.
• W4283796688 hasConceptScore W4283796688C95986675 @default.
• W4283796688 hasFunder F4320335777 @default.
• W4283796688 hasFunder F4320336644 @default.

• next