Data230206

Columns A through J are the explanatory variables and columns K through R are the objective variables. <br> Explanatory variables Slope Northness Eastness TpExp1000 TpExp200 Area Geology TmpSummer RainSummer SnowMax A 10 m DEM provided by the GSI was used to produce maps of slopes, aspects, and topographic exposure using GIS. The aspects were translated into continuous north-south gradients (northness) and an east-west gradients (eastness) using the following equations: northness = cosine (aspect); eastness = sine (aspect). The topographic exposure was defined as the total value of the horizontal angle within view from a given point to a given distance. This was calculated for the 200 m and 1,000 m radius cases (TpExp200 and TpExp1000). The terrain variables were calculated as the means of each of the 10 × 10 m cells making up each landslide-scarp polygon. <br> The 30-year average values (1981?2010) of the climate variables were obtained from the Mesh Climate Data 2010 dataset (Japan Meteorological Agency, 2012). The average summer temperature (July to September), total summer rainfall (July to September), and maximum snow depth were used as climate variables for each polygon (TmpSummer, RainSummer, and SnowMax). <br> The lithology of each polygon was defined as the most dominant lithology in that polygon according to a geological map of 1:200,000 scale (Geological Survey of Japan 2009). Abbreviations are as follows; g3 Late Pleistocene to Holocene fan deposits g190 Early Cretaceous non-marine sedimentary rocks g260 Early Jurassic marine and non-marine sedimentary rocks g410 melange matrix of Permian accretionary complex g441 sandstone of Middle to Late Jurassic accretionary complex g555 ultramafic rocks g807 Late Oligocene to Early Miocene non-alkaline felsic volcanic intrusive rocks g1010 Middle Pleistocene non-alkaline mafic volcanic rocks g1260 Late Miocene to Pliocene felsic plutonic rocks g1331 Late Cretaceous granite (Younger Ryoke Granite) g1670 Nagato and Hida Gaien Tectonic Belts (schist) g Others Objective variable Nmb, number of vegetation types within each landslide scarp Frs, presence of forest vegetation Cnf, presence of coniferous forest Brd, presence of broad-leaved forest Shr, presence of shrubland Ssg, presence of Sasa grassland Mdw, presence of meadow Rbl, presence of rubble field The number of vegetation types was binarized by a threshold value: the presence/absence of vegetation consisting of three or more types was used as the objective variable.