R Under development (unstable) (2024-02-19 r85946 ucrt) -- "Unsuffered Consequences"
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Platform: x86_64-w64-mingw32/x64

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> # land type, categorical variable
> 
> library("geostatsp")
Loading required package: Matrix
Loading required package: terra
terra 1.7.71
> data("swissRain")
> swissRain = unwrap(swissRain)
> swissAltitude = unwrap(swissAltitude)
> swissLandType = unwrap(swissLandType)
> swissBorder = unwrap(swissBorder)
> 
> swissRain$lograin = log(swissRain$rain)
> swissRain$elevation = extract(swissAltitude, swissRain, ID=FALSE)
> swissAltitude[1:50,1:50] = NA
> 
> swissRaster = rast(extent=ext(swissBorder), ncols=20, nrows=20, 
+ 		crs=crs(swissRain))	
> 
> 
> swissRain$land = extract(swissLandType, swissRain, ID=FALSE)
> # get rid of land types with few observations
> landTable = table(swissRain$land)
> landTable = as.character(names(landTable)[landTable > 5])
> swissRain2 = swissRain[as.character(swissRain$land) %in% landTable, ]
> swissRain2$land = factor(swissRain2$land,
+ 	levels = names(sort(table(swissRain2$land), decreasing=TRUE))[1:5])
> 
> swissFit3 = likfitLgm(
+     data=swissRain2, 
+ 		formula=lograin~ elevation + land,
+ 		param=c(range=46500, nugget=0.05,shape=1,  
+ 				anisoAngleDegrees=35, anisoRatio=12),
+ 		paramToEstimate = c("range","nugget", 
+ 				"anisoAngleDegrees", "anisoRatio"),
+ 		parscale = c(range=5000,nugget=0.01, 
+ 				anisoRatio=1,anisoAngleDegrees=5)
+ )
> 
> swissKrige3 = krigeLgm(
+     data=swissRain2[1:60,], 
+ 		formula = swissFit3$model$formula,
+ 		param=swissFit3$param, 
+ 		covariates = list(elevation = swissAltitude,land=swissLandType),
+ 		grid = swissRaster, expPred=TRUE)
Warning message:
In krigeLgm(data = swissRain2[1:60, ], formula = swissFit3$model$formula,  :
  cant find coefficientslandWater bodies, landEvergreen needleleaf forest, landEvergreen broadleaf forest, landDeciduous needleleaf forest, landDeciduous broadleaf forest, landClosed shrublands, landOpen shrublands, landWoody savannas, landSavannas, landPermanent Wetlands, landSnow and ice, landBarren or sparsely vegetatedin param

> 
> pdf("krige3.pdf")
> plot(swissKrige3[["predict"]])	
> plot(swissBorder, add=TRUE)
> dev.off()
null device 
          1 
> 
> 
>   
> 
> swissRain2$landFac2 = as.character(swissRain2$land)
> 
> swissFit5= likfitLgm(lograin~ elevation + landFac2,
+ 		data=swissRain2, 
+ 		param=c(range=46500, nugget=0.05,shape=1,  
+ 				anisoAngleDegrees=35, anisoRatio=12),
+ 		paramToEstimate = c("range","nugget", 
+ 				"anisoAngleDegrees", "anisoRatio"),
+ 		parscale = c(range=5000,nugget=0.01, 
+ 				anisoRatio=1,anisoAngleDegrees=5)
+ )
> 
> 
> swissKrige5 = krigeLgm(data=swissRain2[1:60,], 
+ 		formula = swissFit5$model$formula,
+ 		param=swissFit5$param, 
+ 		covariates = list(elevation = swissAltitude,landFac2=swissLandType),
+ 		grid = swissRaster,expPred=TRUE)
Warning message:
In krigeLgm(data = swissRain2[1:60, ], formula = swissFit5$model$formula,  :
  cant find coefficientslandFac2Evergreen needleleaf forest, landFac2Evergreen broadleaf forest, landFac2Deciduous needleleaf forest, landFac2Deciduous broadleaf forest, landFac2Closed shrublands, landFac2Open shrublands, landFac2Woody savannas, landFac2Savannas, landFac2Permanent Wetlands, landFac2Cropland/natural vegetation mosaic, landFac2Snow and ice, landFac2Barren or sparsely vegetatedin param

> pdf("krige5.pdf")
> plot(swissKrige5[["predict"]])	
> plot(swissBorder, add=TRUE)
> dev.off()
null device 
          1 
> 
> 
> 
> 
> 
> 
> 
> proc.time()
   user  system elapsed 
   5.26    0.23    5.43