OGR data source with driver: ESRI Shapefile Source: "/var/www/R/mkclimate/polys", layer: "mk_boundary" with 2 features It has 1 fields [using ordinary kriging] [using ordinary kriging] Kriging

Predicting Means and Kriging Error: Precipitation for January (1961 - 1990)

                                                  krige_output:
Object of class SpatialPixelsDataFrame
Coordinates:
         min       max
x1  457453.1  669240.2
x2 4523824.0 4690228.2
Is projected: TRUE 
proj4string :
[+init=epsg:31277 +proj=tmerc +lat_0=0 +lon_0=21 +k=0.9999 +x_0=7500000
+y_0=0 +datum=hermannskogel +units=m +no_defs +ellps=bessel
+towgs84=577.326,90.129,463.919,5.137,1.474,5.297,2.4232]
Number of points: 4001
Grid attributes:
   cellcentre.offset cellsize cells.dim
x1          457453.1 2521.275        85
x2         4523824.0 2521.275        67
Data attributes:
   var1.pred        var1.var        var1.stdev    
 Min.   :31.38   Min.   : 77.28   Min.   : 8.791  
 1st Qu.:38.54   1st Qu.: 78.39   1st Qu.: 8.854  
 Median :47.34   Median : 80.77   Median : 8.987  
 Mean   :52.09   Mean   : 82.14   Mean   : 9.060  
 3rd Qu.:63.81   3rd Qu.: 84.84   3rd Qu.: 9.211  
 Max.   :94.21   Max.   :101.85   Max.   :10.092  

exp_var:
  np     dist     gamma dir.hor dir.ver   id
1 13 16746.10  55.54940       0       0 var1
2 20 25153.74  75.94597       0       0 var1
3 36 34173.55 149.11069       0       0 var1
4 45 47048.35 204.75885       0       0 var1
5 50 58426.75 208.39965       0       0 var1
6 61 73195.20 531.09155       0       0 var1

var_model:
  model       psill    range kappa
1   Nug    72.61166      0.0     0
2   Ste 37938.64068 820357.4    10
Sums of squares betw. var. model and sample var.[1] 0.0003626245
[1] 0.0003626245

                                            

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