landslides | R Documentation |
Landslide data from southern Ecuador
Landslide data from southern Ecuador
landslides
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.
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.
Muenchow, J., Brenning, A., Richter, R. (2012): Geomorphic process rates of landslides along a humidity gradient in the tropical Andes, Geomorphology 139-140, 271-284. DOI: 10.1016/j.geomorph.2011.10.029.
Stoyan, R. (2000): Aktivitaet, Ursachen und Klassifikation der Rutschungen in San Francisco/Suedecuador. Unpublished diploma thesis, University of Erlangen-Nuremberg, Germany.
dem, study_area
## Not run:
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")
## End(Not run)
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