“…Geographic information systems (GIS) technology has freed susceptibility modeling from many of its qualitative limitations, and the computer-mapping of landslide susceptibility has spread worldwide (Aniya, 1985;others, 1992, 1995;Brunori and others, 1996;Fernández and others, 1996;Soeters and van Westen, 1996;van Westen and others, 1997;Cross, 1998;Dhakal and others, 2000). Although the multi-parameter estimation of susceptibility now is common, its effectiveness is limited in four respects: (1) the resulting maps usually cover small areas (Mora and Vahrson, 1994;Miller, 1995;Massari and Atkinson, 1999); (2) the maps require detailed information, some of it on many parameters, that can not be obtained economically for large areas (Jäger and Wieczorek, 1994;Miller, 1995;Fernández and others, 1996); (3) the maps express susceptibility qualitatively, on an ordinal (high, moderate, low) scale (Aniya, 1985;Hylland and Lowe, 1997;Turrini and Visintainer, 1998); and (4) the maps lack transparency, in that they result from complex computer-analyses wherein input parameters can be difficult to correlate with landslides occurrence and other field observations (Dhakal and others, 2000). The experiment reported here addresses these shortcomings.…”