[R-sig-Geo] Landmap package - automated mapping using Ensemble Machine Learning

I've wrapped functions extending #SuperLearner and #subsemble R pkgs (Ensemble Machine Learning) which now can be used to generate Spatial Predictions (fully automated framework, requires no special geostatistical assumptions or choices). You can install the working package from:

[R-sig-Geo] nested spatial model

hello1-i'm going to work with colash data following nested spatial model that in statistical method for spatial data analysis (oliver_schabben berger  page150) .i devided data to 3 subgroups.i have fitted varigram model to every 3 subgroup. and also i have calculated covarianc matrix of them.

Re: [R-sig-Geo] GRID based calculations

Hi, You probably haven't gotten any answers because this is an extremely vague question, and a problem not very well suited for R. You could do the preliminary calculations in R, but other GIS software is more suited to the point and click model. If you run into specific problems with R code,

[R-sig-Geo] Error while using predict.sarlm

I am facing an error while using predict.sarlm to make predictions for spatial lag model generated using lagsarlm. I used the following code: predicted = predict(fit.lag, listw=weightmatrix, newdata=missed_data, pred.type="TS", zero.policy = T) For the argument newdata, I have passed the same