Running 'allier.R' [1s]
  Comparing 'allier.Rout' to 'allier.Rout.save' ...152c152
< c(-0.000106836, 8.94523e-005)  # row 2
---
> c(-0.000106836, 8.94523e-05)  # row 2
316c316
< c(-0.000106836, 8.94523e-005)  # row 2
---
> c(-0.000106836, 8.94523e-05)  # row 2
  Running 'blockkr.R' [1s]
  Comparing 'blockkr.Rout' to 'blockkr.Rout.save' ... OK
  Running 'covtable.R' [1s]
  Comparing 'covtable.Rout' to 'covtable.Rout.save' ... OK
  Running 'cv.R' [2s]
  Comparing 'cv.Rout' to 'cv.Rout.save' ... OK
  Running 'cv3d.R' [2s]
  Comparing 'cv3d.Rout' to 'cv3d.Rout.save' ... OK
  Running 'fit.R' [1s]
  Comparing 'fit.Rout' to 'fit.Rout.save' ... OK
  Running 'krige0.R' [4s]
  Comparing 'krige0.Rout' to 'krige0.Rout.save' ... OK
  Running 'line.R' [2s]
  Comparing 'line.Rout' to 'line.Rout.save' ... OK
  Running 'merge.R' [1s]
  Comparing 'merge.Rout' to 'merge.Rout.save' ...270,273c270,273
< c(      0.5, 1.38778e-017), # row 1
< c(      0.5, -1.38778e-017), # row 2
< c(2.77556e-017,       0.5), # row 3
< c(-4.16334e-017,       0.5)  # row 4
---
> c(      0.5, 1.38778e-17), # row 1
> c(      0.5, -1.38778e-17), # row 2
> c(2.77556e-17,       0.5), # row 3
> c(-4.16334e-17,       0.5)  # row 4
  Running 'na.action.R' [1s]
  Comparing 'na.action.Rout' to 'na.action.Rout.save' ... OK
  Running 'rings.R' [2s]
  Comparing 'rings.Rout' to 'rings.Rout.save' ... OK
  Running 'sim.R' [1s]
  Comparing 'sim.Rout' to 'sim.Rout.save' ... OK
  Running 'stars.R' [2s]
  Running 'unproj.R' [3s]
  Comparing 'unproj.Rout' to 'unproj.Rout.save' ...7,8c7,8
<  Loaded GDAL runtime: GDAL 2.2.3, released 2017/11/20
<  Path to GDAL shared files: D:/temp/Rtmp0e1Aan/RLIBS_207d018fe758b/rgdal/gdal
---
>  Loaded GDAL runtime: GDAL 2.4.0, released 2018/12/14
>  Path to GDAL shared files: /usr/share/gdal
10,11c10,11
<  Loaded PROJ.4 runtime: Rel. 4.9.3, 15 August 2016, [PJ_VERSION: 493]
<  Path to PROJ.4 shared files: D:/temp/Rtmp0e1Aan/RLIBS_207d018fe758b/rgdal/proj
---
>  Loaded PROJ.4 runtime: Rel. 5.2.0, September 15th, 2018, [PJ_VERSION: 520]
>  Path to PROJ.4 shared files: (autodetected)
  Running 'variogram.R' [2s]
  Comparing 'variogram.Rout' to 'variogram.Rout.save' ... OK
  Running 'vdist.R' [1s]
  Comparing 'vdist.Rout' to 'vdist.Rout.save' ...23c23
< 1500 (180260, 331300)  5.641176 1.100095
---
> 1500 (180260, 331300)   5.50671 1.100095
  Running 'windst.R' [5s]
Running the tests in 'tests/stars.R' failed.
Complete output:
  > # 0. using sp:
  > 
  > library(sp)
  > demo(meuse, ask = FALSE)
  
  
  	demo(meuse)
  	---- ~~~~~
  
  > require(sp)
  
  > crs = CRS("+init=epsg:28992")
  
  > data("meuse")
  
  > coordinates(meuse) <- ~x+y
  
  > proj4string(meuse) <- crs
  
  > data("meuse.grid")
  
  > coordinates(meuse.grid) <- ~x+y
  
  > gridded(meuse.grid) <- TRUE
  
  > proj4string(meuse.grid) <- crs
  
  > data("meuse.riv")
  
  > meuse.riv <- SpatialPolygons(list(Polygons(list(Polygon(meuse.riv)),"meuse.riv")))
  
  > proj4string(meuse.riv) <- crs
  
  > data("meuse.area")
  
  > meuse.area = SpatialPolygons(list(Polygons(list(Polygon(meuse.area)), "area")))
  
  > proj4string(meuse.area) <- crs
  > library(gstat)
  > v = variogram(log(zinc)~1, meuse)
  > (v.fit = fit.variogram(v, vgm(1, "Sph", 900, 1)))
    model      psill    range
  1   Nug 0.05066243   0.0000
  2   Sph 0.59060780 897.0209
  > k_sp = krige(log(zinc)~1, meuse[-(1:5),], meuse[1:5,], v.fit)
  [using ordinary kriging]
  > k_sp_grd = krige(log(zinc)~1, meuse, meuse.grid, v.fit)
  [using ordinary kriging]
  > 
  > # 1. using sf:
  > library(sf)
  Error: package or namespace load failed for 'sf' in library.dynam(lib, package, package.lib):
   DLL 'Rcpp' not found: maybe not installed for this architecture?
  Execution halted
Running the tests in 'tests/windst.R' failed.
Complete output:
  > library(sp)
  > library(spacetime)
  > library(gstat)
  > 
  > data(wind)
  > wind.loc$y = as.numeric(char2dms(as.character(wind.loc[["Latitude"]])))
  > wind.loc$x = as.numeric(char2dms(as.character(wind.loc[["Longitude"]])))
  > coordinates(wind.loc) = ~x+y
  > proj4string(wind.loc) = "+proj=longlat +datum=WGS84 +ellps=WGS84"
  > 
  > wind$time = ISOdate(wind$year+1900, wind$month, wind$day)
  > wind$jday = as.numeric(format(wind$time, '%j'))
  > stations = 4:15
  > windsqrt = sqrt(0.5148 * wind[stations]) # knots -> m/s
  > Jday = 1:366
  > daymeans = colMeans(
  + 	sapply(split(windsqrt - colMeans(windsqrt), wind$jday), colMeans))
  > meanwind = lowess(daymeans ~ Jday, f = 0.1)$y[wind$jday]
  > velocities = apply(windsqrt, 2, function(x) { x - meanwind })
  > # match order of columns in wind to Code in wind.loc;
  > # convert to utm zone 29, to be able to do interpolation in
  > # proper Euclidian (projected) space:
  > pts = coordinates(wind.loc[match(names(wind[4:15]), wind.loc$Code),])
  > pts = SpatialPoints(pts)
  > #if (require(rgdal) && require(maps)) {
  > proj4string(pts) = "+proj=longlat +datum=WGS84 +ellps=WGS84"
  > utm29 = CRS("+proj=utm +zone=29 +datum=WGS84 +ellps=WGS84")
  > pts = spTransform(pts, utm29)
  > # note the t() in:
  > w = STFDF(pts, wind$time, data.frame(values = as.vector(t(velocities))))
  > 
  > library(mapdata)
  Loading required package: maps
  > library(maptools)
  Checking rgeos availability: TRUE
  > m = map2SpatialLines(
  +     map("worldHires", xlim = c(-11,-5.4), ylim = c(51,55.5), plot=F))
  > proj4string(m) = "+proj=longlat +datum=WGS84 +ellps=WGS84"
  > m = spTransform(m, utm29)
  > 
  > # setup grid
  > grd = SpatialPixels(SpatialPoints(makegrid(m, n = 300)),
  + 	proj4string = proj4string(m))
  > # grd$t = rep(1, nrow(grd))
  > #coordinates(grd) = ~x1+x2
  > #gridded(grd)=TRUE
  > 
  > # select april 1961:
  > w = w[, "1961-04"]
  > 
  > covfn = function(x, y = x) { 
  + 	du = spDists(coordinates(x), coordinates(y))
  + 	t1 = as.numeric(index(x)) # time in seconds
  + 	t2 = as.numeric(index(y)) # time in seconds
  + 	dt = abs(outer(t1, t2, "-"))
  + 	# separable, product covariance model:
  + 	0.6 * exp(-du/750000) * exp(-dt / (1.5 * 3600 * 24))
  + }
  > 
  > n = 10
  > tgrd = seq(min(index(w)), max(index(w)), length=n)
  > pred = krige0(sqrt(values)~1, w, STF(grd, tgrd), covfn)
  > layout = list(list("sp.points", pts, first=F, cex=.5),
  + 	list("sp.lines", m, col='grey'))
  > wind.pr0 = STFDF(grd, tgrd, data.frame(var1.pred = pred))
  > 
  > v = vgmST("separable",
  +           space = vgm(1, "Exp", 750000), 
  +           time = vgm(1, "Exp", 1.5 * 3600 * 24),
  +           sill = 0.6)
  > wind.ST = krigeST(sqrt(values)~1, w, STF(grd, tgrd), v)
  [Using the following time unit: secs]
  [Using the following time unit: secs]
  [Using the following time unit: secs]
  Warning message:
  In krigeST(sqrt(values) ~ 1, w, STF(grd, tgrd), v) :
    The spatio-temporal variogram model does not carry the strongly recommended attribute 'temporal unit'.
   The unit 'secs' has been assumed. krigeST could not check whether the temporal distances between locations and in the variogram coincide.
  > 
  > all.equal(wind.pr0, wind.ST)
  [1] TRUE
  > #}
  > 
  > # stars:
  > library(stars)
  Loading required package: abind
  Loading required package: sf
  Error: package or namespace load failed for 'sf' in library.dynam(lib, package, package.lib):
   DLL 'Rcpp' not found: maybe not installed for this architecture?
  Error: package 'sf' could not be loaded
  Execution halted