Correlation does not imply geomorphic causation in data-driven landslide susceptibility modelling – Benefits of exploring landslide data collection effects

Author:

Steger Stefan,Mair Volkmar,Kofler Christian,Pittore Massimiliano,Zebisch Marc,Schneiderbauer Stefan

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference105 articles.

1. Impact of mapping errors on the reliability of landslide hazard maps;Ardizzone;Natural Hazards and Earth System Science,2002

2. Effect of raster resolution and polygon-conversion algorithm on landslide susceptibility mapping;Arnone;Environ. Model. Softw.,2016

3. ASTAT, 2019. Provincial statistics Institute of the Autonomous Province of South Tyrol. Link: https://astat.provinz.bz.it/de/bevoelkerung.asp (last access: 20 July 2020).

4. Generalized linear modelling in geomorphology;Atkinson;Earth Surf. Process. Landf.,1998

5. Autonomous Province of South Tyrol, 2018. South Tyrol in figures. Provincial Statistics Institute. Link: https://astat.provinz.bz.it/downloads/Siz_2019-eng.pdf (last access: 23 July 2020).

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