covtrain {DAAGxtras} | R Documentation |
Dataset used as training data in the study cited below. These are the first 11,340 observations, 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(covtrain)
A data frame with 11318 observations on the following 55 variables.
V1
V2
V3
V4
V5
V6
V7
V8
V9
V10
V11
V12
V13
V14
V15
V16
V17
V18
V19
V20
V21
V22
V23
V24
V25
V26
V27
V28
V29
V30
V31
V32
V33
V34
V35
V36
V37
V38
V39
V40
V41
V42
V43
V44
V45
V46
V47
V48
V49
V50
V51
V52
V53
V54
V55
For details, see http://kdd.ics.uci.edu/databases/covertype/covertype.data.html
For 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(covtrain)