| covtest {DAAGxtras} | R Documentation |
Dataset used as test data in the study cited below. These are observations 11341 to 15120, out of 581012, in the dataset on the UCI site. Forest cover type is recorded, together with information on physical geographical variables that may account for the forest cover type.
data(covtest)
A data frame with 11318 observations on the following 55 variables.
V1V2V3V4V5V6V7V8V9V10V11V12V13V14V15V16V17V18V19V20V21V22V23V24V25V26V27V28V29V30V31V32V33V34V35V36V37V38V39V40V41V42V43V44V45V46V47V48V49V50V51V52V53V54V55For details, see http://kdd.ics.uci.edu/databases/covertype/covertype.data.html
For further details, see http://kdd.ics.uci.edu/databases/covertype/covertype.data.html. Note the omission of any information on geographical location. Distance through the data seems however to be, in part, a proxy for geographical location.
http://kdd.ics.uci.edu/databases/covertype/covertype.html
Blackard, Jock A. 1998. "Comparison of Neural Networks and Discriminant Analysis in Predicting Forest Cover Types." Ph.D. dissertation. Department of Forest Sciences. Colorado State University. Fort Collins, Colorado.
data(covtest)