landslides: Landslide inventory data

Description

Landslide data from southern Ecuador

Usage

landslides

Arguments

Format

The landslide dataset consists of three objects: landslides, dem, and study_area.

landslides: A data.frame with 1535 rows and 3 variables representing landslide initiation points in the Reserva Biologica San Francisco (RBSF) area of the tropical Andes in Southern Ecuador. The variables are:
- lslpts: Landslide initiation point (boolean)
- x and y: Coordinates in UTM zone 17S (EPSG: 32717)
The landslide inventory was mapped by Stoyan (2000) in the field and by the presence of landslide scars in aerial imagery.

Details

Landslide data provided here are a subset of that used by Muenchow et al. (2012) to predict spatially landslide susceptibility using generalized additive models (GAMs). Specifically, the here provided landslides belong to the "natural" part of the RBSF area. Please refer also to the accompanying vignette for an introductory tutorial on the use of the RSAGA package for terrain analysis, geoprocessing, and model-building using these data.

Examples

Run this code

if (FALSE) {
library("RSAGA")
data(landslides)
data(dem)

# Print the DEM header:
dem$header

# Write the DEM to a SAGA grid:
write.sgrd(data = dem, file = "dem", header = dem$header, env = env)

# Calculate slope of DEM:
rsaga.slope(in.dem = "dem", out.slope = "slope", method = "poly2zevenbergen")

# Pick slope values at landslide points,
# added to landslides data.frame as variable "slope":
landslides <- pick.from.saga.grid(data = landslides,
                                  filename = "slope",
                                  varname = "slope")
}