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dc.creatorMilevski, Ivica
dc.creatorDragićević, Slavoljub
dc.creatorZorn, Matija
dc.date.accessioned2021-09-24T15:43:09Z
dc.date.available2021-09-24T15:43:09Z
dc.date.issued2019
dc.identifier.issn2391-5447
dc.identifier.urihttps://gery.gef.bg.ac.rs/handle/123456789/988
dc.description.abstractThis article presents a Geographic Information System (GIS) assessment of Landslide Susceptibility Zonation (LSZ) in North Macedonia. Because of the weak landslide inventory, statistical method (frequency ratio) is combined with Analytical Hierarchy Process (AHP). In this study, lithology, slope, plan curvature, precipitations, land cover, distance from streams, and distance from roads were selected as precondition factors for landslide occurrence. There are two advantages of the approach used. The first is the possibility of comparing of the results and cros svalidation between the statistical and expert based methods with an indication of the advantages and drawbacks of each of them. The second is the possibility of better weighting of precondition factors for landslide occurrence, which can be useful in cases of weak landslide inventory. The final result shows that in the case of weak landslide inventory, LSZ map created with the combination of both models provide better overall results than each model separately.en
dc.publisherDe Gruyter Poland Sp Z O O, Warsaw
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceOpen Geosciences
dc.subjectlandslidesen
dc.subjectLSZen
dc.subjectLSIen
dc.subjectAHPen
dc.subjectgeo-environmental factorsen
dc.subjectNorth Macedoniaen
dc.titleStatistical and expert-based landslide susceptibility modeling on a national scale applied to North Macedoniaen
dc.typearticle
dc.rights.licenseBY-NC-ND
dcterms.abstractЗорн, Матија; Драгићевић, Славољуб; Милевски, Ивица;
dc.citation.volume11
dc.citation.issue1
dc.citation.spage750
dc.citation.epage764
dc.citation.other11(1): 750-764
dc.citation.rankM23
dc.identifier.wos000495402400001
dc.identifier.doi10.1515/geo-2019-0059
dc.identifier.scopus2-s2.0-85075178645
dc.identifier.fulltexthttps://gery.gef.bg.ac.rs/bitstream/id/882/986.pdf
dc.identifier.rcubconv_1078
dc.type.versionpublishedVersion


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