We like to prepare landslide susceptibility model of the entire country (about 25,000 km square) using LSA approach. We do not have very detailed landslides cadaster (with only 350 landslides so far) to check each factor weight so I need idea or proposal for the best (and not complicated) approach. Probably some indexes of lithology, slopes, land cover, distance from the roads and rivers must be taken into account (as in the most LSA models). Any experience will be of great help.
frequency ratio or Analytic Hierarchy Process are the easiest processing technique to prepare landslide susceptibility zonation for larger area. there are some videoes link
https://youtu.be/U2R5OJfzTJU
https://youtu.be/gF8vK4r4KbE
https://youtu.be/aX8npmWWA_A
Yes AHP or Fuzzy or frequency ratio are the most easiest way for landslides hazard zonation.
If you have some idea about the R statistical software you might have a look at the tutorial of the RSAGA package describing in detail the development of a statistical landslide model with cadastre data and diverse GIS derived parameters. https://cran.r-project.org/web/packages/RSAGA/vignettes/RSAGA-landslides.pdf
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