4
votes
Difference between Bootstrap and Cross Validation MaxEnt
Cross validation splits your training data into a number of groups. Maxent then calibrates a model on a number of those groups and tests it on the the groups left out (say 2/3rd's of the folds as ...
- 2,176
4
votes
Accepted
R kriging cross validation returns NA for all prediction points?
The usual problem with kriging is duplicate locations. You can note that even the function autoKrige gives you the following warning:
Removed 197 duplicate observation(s) in input_data
You can also ...
- 708
2
votes
Specifying the "idp" and the "nmax" in the krige.cv function
Here is a worked out CV example using the meuse dataset:
# Load Libraries
library(data.table)
library(ggplot2)
library(viridisLite)
library(sp)
library(gstat)
# Settings
seed=123L
# Convert data to ...
- 121
2
votes
Specifying the "idp" and the "nmax" in the krige.cv function
I've had the same problem and just found a solution: In the gstat-documentation on page 21 they use for defining idp the expression set = list(idp = 0.5). For "nmax" it's as usual:
meuse.idw_cv <- ...
- 21
1
vote
Accepted
Residual bubble plot of krige.cv function dataframe
I think this discussion will be useful on how to convert your data: https://stackoverflow.com/questions/32583606/create-spatialpointsdataframe
This is what it could look like with your script:
...
- 776
1
vote
how to predict on hold on test sample using krige.cv from gstat R toolbox?
Well cross validation is a method to help test your models when you do not have enough data to separate into train and validation datasets. So by doing k-fold cross validation you can see how the ...
- 2,176
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