Data set created by Jannes Muenchow, University of Erlangen-Nuremberg, Germany. These data should be cited as Muenchow et al. (2012) (see reference below). This publication also contains additional information on data collection and the geomorphology of the area. The data set provded here is (a subset of) the one from the 'natural' part of the RBSF area and corresponds to landslide distribution in the year 2000.

Format

a data.frame with point samples of landslide and non-landslide locations in a study area in the Andes of southern Ecuador.

References

Muenchow, J., Brenning, A., Richter, M., 2012. Geomorphic process rates of landslides along a humidity gradient in the tropical Andes. Geomorphology, 139-140: 271-284.

Brenning, A., 2005. Spatial prediction models for landslide hazards: review, comparison and evaluation. Natural Hazards and Earth System Sciences, 5(6): 853-862.

Examples

data(ecuador) str(ecuador)
#> 'data.frame': 751 obs. of 13 variables: #> $ x : num 712882 715232 715392 715042 715382 ... #> $ y : num 9560002 9559582 9560172 9559312 9560142 ... #> $ dem : num 1912 2199 1989 2320 2021 ... #> $ slope : num 25.6 23.2 40.5 42.9 42 ... #> $ hcurv : num -0.00681 -0.00501 -0.01919 -0.01106 0.00958 ... #> $ vcurv : num -0.00029 -0.00649 -0.04051 -0.04634 0.02642 ... #> $ carea : num 5577 1399 351155 501 671 ... #> $ cslope : num 34.4 30.7 32.8 33.9 41.6 ... #> $ distroad : num 300 300 300 300 300 ... #> $ slides : Factor w/ 2 levels "FALSE","TRUE": 2 2 2 2 2 2 2 2 2 2 ... #> $ distdeforest : num 15 300 300 300 300 9.15 300 300 300 0 ... #> $ distslidespast: num 9 21 40 100 21 2 100 100 41 5 ... #> $ log.carea : num 3.75 3.15 5.55 2.7 2.83 ...
library(rpart) ctrl <- rpart.control(cp = 0.02) fit <- rpart(slides ~ dem + slope + hcurv + vcurv + log.carea + cslope, data = ecuador, control = ctrl) par(xpd = TRUE) plot(fit, compress = TRUE, main = 'Muenchows landslide data set')
text(fit, use.n = TRUE)