Hi,
Im using geoR and I'm trying to do some predictions, based on an external
trend.
I'm having some problems specifying my model.control, specifically how do I
define my model, and also the source of the covariate data at the prediction
locations?
I am assuming that the covariate data at the prediction locations should be
imported to a geodata object along with the prediction location coordinates
- this is what I have done, but I can't get the prediction to work.
So my question is: How should the prediction location and covariate data at
prediction locations be stored? And also how do I specify model.control so
that it recognises where my covariate data is?
Below is the error message that I am getting:
krige.bayes: model with mean defined by covariates provided by the user
Warning messages:
1: locations provided as a list with more than 2 components. Only the 2
first will be used as coordinates in: .check.locations(locations)
2: data length [507] is not a sub-multiple or multiple of the number of rows
[254] in matrix
Error in trend.spatial(trend = model$trend.l, geodata = list(coords =
locations)) :
trend elements not found
Thanks,
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