Last updated on 2021-03-28 08:50:53 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.5-5.1 | 44.35 | 214.46 | 258.81 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.5-5.1 | 32.07 | 159.45 | 191.52 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.5-5.1 | 324.01 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 0.5-5.1 | 309.18 | ERROR | |||
| r-devel-windows-ix86+x86_64 | 0.5-5.1 | 72.00 | 252.00 | 324.00 | ERROR | |
| r-devel-windows-x86_64-gcc10-UCRT | 0.5-5.1 | ERROR | ||||
| r-patched-linux-x86_64 | 0.5-5.1 | 38.23 | 197.46 | 235.69 | ERROR | |
| r-patched-solaris-x86 | 0.5-5.1 | 418.00 | ERROR | |||
| r-release-linux-x86_64 | 0.5-5.1 | 35.91 | 197.23 | 233.14 | ERROR | |
| r-release-macos-x86_64 | 0.5-5.1 | NOTE | ||||
| r-release-windows-ix86+x86_64 | 0.5-5.1 | 72.00 | 254.00 | 326.00 | ERROR | |
| r-oldrel-macos-x86_64 | 0.5-5.1 | OK | ||||
| r-oldrel-windows-ix86+x86_64 | 0.5-5.1 | 63.00 | 226.00 | 289.00 | ERROR |
Version: 0.5-5.1
Check: package dependencies
Result: NOTE
Package suggested but not available for checking: 'SDMTools'
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64-gcc10-UCRT, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-macos-x86_64
Version: 0.5-5.1
Check: dependencies in R code
Result: WARN
Missing or unexported objects:
'spatstat::density.ppp' 'spatstat::nndist' 'spatstat::owin'
'spatstat::ppp'
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64, r-devel-windows-x86_64-gcc10-UCRT
Version: 0.5-5.1
Check: examples
Result: ERROR
Running examples in 'GSIF-Ex.R' failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: gstatModel-class
> ### Title: A class for a geostatistical model
> ### Aliases: gstatModel-class validate,gstatModel-method
> ### plot,gstatModel,ANY-method validate print.gstatModel plot.gstatModel
> ### Keywords: classes
>
> ### ** Examples
>
> ## load observations:
> library(plotKML)
plotKML version 0.6-1 (2020-03-08)
URL: http://plotkml.r-forge.r-project.org/
> library(sp)
> library(maptools)
Checking rgeos availability: FALSE
Note: when rgeos is not available, polygon geometry computations in maptools depend on gpclib,
which has a restricted licence. It is disabled by default;
to enable gpclib, type gpclibPermit()
> demo(meuse, echo=FALSE)
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> data(meuse)
> coordinates(meuse) <- ~x+y
> proj4string(meuse) <- CRS("+init=epsg:28992")
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> ## load grids:
> data(meuse.grid)
> coordinates(meuse.grid) <- ~x+y
> gridded(meuse.grid) <- TRUE
> proj4string(meuse.grid) <- CRS("+init=epsg:28992")
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> ## fit a model:
> omm <- fit.gstatModel(meuse, om~dist+ffreq,
+ fit.family=gaussian(link="log"), meuse.grid)
Fitting a 2D variogram...
Warning in proj4string(predictionDomain) :
CRS object has comment, which is lost in output
Warning in proj4string(predictionDomain) :
CRS object has comment, which is lost in output
Saving an object of class 'gstatModel'...
> plot(omm)
dev.new(): using pdf(file="Rplots11.pdf")
> ## produce SpatialPredictions:
> om.rk <- predict(omm, predictionLocations = meuse.grid)
Warning in proj4string(predictionLocations) :
CRS object has comment, which is lost in output
Warning in proj4string(object@sp) :
CRS object has comment, which is lost in output
Subsetting observations to fit the prediction domain in 2D...
Warning in proj4string(observed) :
CRS object has comment, which is lost in output
Warning in proj4string(predictionLocations) :
CRS object has comment, which is lost in output
Generating predictions using the trend model (RK method)...
[using ordinary kriging]
100% done
Running 5-fold cross validation using 'krige.cv'...
Warning in proj4string(obj) :
CRS object has comment, which is lost in output
Creating an object of class "SpatialPredictions"
> plot(om.rk)
> ## run a proper cross-validation:
> rk.cv <- validate(omm)
Estimating the predictionDomain...
Error: 'nndist' is not an exported object from 'namespace:spatstat'
Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-patched-linux-x86_64
Version: 0.5-5.1
Check: examples
Result: ERROR
Running examples in ‘GSIF-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: gstatModel-class
> ### Title: A class for a geostatistical model
> ### Aliases: gstatModel-class validate,gstatModel-method
> ### plot,gstatModel,ANY-method validate print.gstatModel plot.gstatModel
> ### Keywords: classes
>
> ### ** Examples
>
> ## load observations:
> library(plotKML)
plotKML version 0.6-1 (2020-03-08)
URL: http://plotkml.r-forge.r-project.org/
> library(sp)
> library(maptools)
Checking rgeos availability: FALSE
Note: when rgeos is not available, polygon geometry computations in maptools depend on gpclib,
which has a restricted licence. It is disabled by default;
to enable gpclib, type gpclibPermit()
> demo(meuse, echo=FALSE)
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> data(meuse)
> coordinates(meuse) <- ~x+y
> proj4string(meuse) <- CRS("+init=epsg:28992")
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> ## load grids:
> data(meuse.grid)
> coordinates(meuse.grid) <- ~x+y
> gridded(meuse.grid) <- TRUE
> proj4string(meuse.grid) <- CRS("+init=epsg:28992")
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> ## fit a model:
> omm <- fit.gstatModel(meuse, om~dist+ffreq,
+ fit.family=gaussian(link="log"), meuse.grid)
Fitting a 2D variogram...
Warning in proj4string(predictionDomain) :
CRS object has comment, which is lost in output
Warning in proj4string(predictionDomain) :
CRS object has comment, which is lost in output
Saving an object of class 'gstatModel'...
> plot(omm)
dev.new(): using pdf(file="Rplots11.pdf")
> ## produce SpatialPredictions:
> om.rk <- predict(omm, predictionLocations = meuse.grid)
Warning in proj4string(predictionLocations) :
CRS object has comment, which is lost in output
Warning in proj4string(object@sp) :
CRS object has comment, which is lost in output
Subsetting observations to fit the prediction domain in 2D...
Warning in proj4string(observed) :
CRS object has comment, which is lost in output
Warning in proj4string(predictionLocations) :
CRS object has comment, which is lost in output
Generating predictions using the trend model (RK method)...
[using ordinary kriging]
40% done
100% done
Running 5-fold cross validation using 'krige.cv'...
Warning in proj4string(obj) :
CRS object has comment, which is lost in output
Creating an object of class "SpatialPredictions"
> plot(om.rk)
> ## run a proper cross-validation:
> rk.cv <- validate(omm)
Estimating the predictionDomain...
Error: 'nndist' is not an exported object from 'namespace:spatstat'
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.5-5.1
Check: examples
Result: ERROR
Running examples in ‘GSIF-Ex.R’ failed
The error most likely occurred in:
> ### Name: gstatModel-class
> ### Title: A class for a geostatistical model
> ### Aliases: gstatModel-class validate,gstatModel-method
> ### plot,gstatModel,ANY-method validate print.gstatModel plot.gstatModel
> ### Keywords: classes
>
> ### ** Examples
>
> ## load observations:
> library(plotKML)
plotKML version 0.6-1 (2020-03-08)
URL: http://plotkml.r-forge.r-project.org/
> library(sp)
> library(maptools)
Checking rgeos availability: FALSE
Note: when rgeos is not available, polygon geometry computations in maptools depend on gpclib,
which has a restricted licence. It is disabled by default;
to enable gpclib, type gpclibPermit()
> demo(meuse, echo=FALSE)
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> data(meuse)
> coordinates(meuse) <- ~x+y
> proj4string(meuse) <- CRS("+init=epsg:28992")
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> ## load grids:
> data(meuse.grid)
> coordinates(meuse.grid) <- ~x+y
> gridded(meuse.grid) <- TRUE
> proj4string(meuse.grid) <- CRS("+init=epsg:28992")
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> ## fit a model:
> omm <- fit.gstatModel(meuse, om~dist+ffreq,
+ fit.family=gaussian(link="log"), meuse.grid)
Fitting a 2D variogram...
Warning in proj4string(predictionDomain) :
CRS object has comment, which is lost in output
Warning in proj4string(predictionDomain) :
CRS object has comment, which is lost in output
Saving an object of class 'gstatModel'...
> plot(omm)
dev.new(): using pdf(file="Rplots11.pdf")
> ## produce SpatialPredictions:
> om.rk <- predict(omm, predictionLocations = meuse.grid)
Warning in proj4string(predictionLocations) :
CRS object has comment, which is lost in output
Warning in proj4string(object@sp) :
CRS object has comment, which is lost in output
Subsetting observations to fit the prediction domain in 2D...
Warning in proj4string(observed) :
CRS object has comment, which is lost in output
Warning in proj4string(predictionLocations) :
CRS object has comment, which is lost in output
Generating predictions using the trend model (RK method)...
[using ordinary kriging]
69% done
100% done
Running 5-fold cross validation using 'krige.cv'...
Warning in proj4string(obj) :
CRS object has comment, which is lost in output
Creating an object of class "SpatialPredictions"
> plot(om.rk)
> ## run a proper cross-validation:
> rk.cv <- validate(omm)
Estimating the predictionDomain...
Error: 'nndist' is not an exported object from 'namespace:spatstat'
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 0.5-5.1
Check: examples
Result: ERROR
Running examples in ‘GSIF-Ex.R’ failed
The error most likely occurred in:
> ### Name: gstatModel-class
> ### Title: A class for a geostatistical model
> ### Aliases: gstatModel-class validate,gstatModel-method
> ### plot,gstatModel,ANY-method validate print.gstatModel plot.gstatModel
> ### Keywords: classes
>
> ### ** Examples
>
> ## load observations:
> library(plotKML)
plotKML version 0.6-1 (2020-03-08)
URL: http://plotkml.r-forge.r-project.org/
> library(sp)
> library(maptools)
Checking rgeos availability: TRUE
> demo(meuse, echo=FALSE)
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> data(meuse)
> coordinates(meuse) <- ~x+y
> proj4string(meuse) <- CRS("+init=epsg:28992")
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> ## load grids:
> data(meuse.grid)
> coordinates(meuse.grid) <- ~x+y
> gridded(meuse.grid) <- TRUE
> proj4string(meuse.grid) <- CRS("+init=epsg:28992")
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> ## fit a model:
> omm <- fit.gstatModel(meuse, om~dist+ffreq,
+ fit.family=gaussian(link="log"), meuse.grid)
Fitting a 2D variogram...
Warning in proj4string(predictionDomain) :
CRS object has comment, which is lost in output
Warning in proj4string(predictionDomain) :
CRS object has comment, which is lost in output
Saving an object of class 'gstatModel'...
> plot(omm)
dev.new(): using pdf(file="Rplots11.pdf")
> ## produce SpatialPredictions:
> om.rk <- predict(omm, predictionLocations = meuse.grid)
Warning in proj4string(predictionLocations) :
CRS object has comment, which is lost in output
Warning in proj4string(object@sp) :
CRS object has comment, which is lost in output
Subsetting observations to fit the prediction domain in 2D...
Warning in proj4string(observed) :
CRS object has comment, which is lost in output
Warning in proj4string(predictionLocations) :
CRS object has comment, which is lost in output
Generating predictions using the trend model (RK method)...
[using ordinary kriging]
19% done
100% done
Running 5-fold cross validation using 'krige.cv'...
Warning in proj4string(obj) :
CRS object has comment, which is lost in output
Creating an object of class "SpatialPredictions"
> plot(om.rk)
> ## run a proper cross-validation:
> rk.cv <- validate(omm)
Estimating the predictionDomain...
Error: 'nndist' is not an exported object from 'namespace:spatstat'
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.5-5.1
Check: examples
Result: ERROR
Running examples in 'GSIF-Ex.R' failed
The error most likely occurred in:
> ### Name: gstatModel-class
> ### Title: A class for a geostatistical model
> ### Aliases: gstatModel-class validate,gstatModel-method
> ### plot,gstatModel,ANY-method validate print.gstatModel plot.gstatModel
> ### Keywords: classes
>
> ### ** Examples
>
> ## load observations:
> library(plotKML)
plotKML version 0.6-1 (2020-03-08)
URL: http://plotkml.r-forge.r-project.org/
> library(sp)
> library(maptools)
Checking rgeos availability: FALSE
Note: when rgeos is not available, polygon geometry computations in maptools depend on gpclib,
which has a restricted licence. It is disabled by default;
to enable gpclib, type gpclibPermit()
> demo(meuse, echo=FALSE)
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> data(meuse)
> coordinates(meuse) <- ~x+y
> proj4string(meuse) <- CRS("+init=epsg:28992")
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> ## load grids:
> data(meuse.grid)
> coordinates(meuse.grid) <- ~x+y
> gridded(meuse.grid) <- TRUE
> proj4string(meuse.grid) <- CRS("+init=epsg:28992")
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> ## fit a model:
> omm <- fit.gstatModel(meuse, om~dist+ffreq,
+ fit.family=gaussian(link="log"), meuse.grid)
Fitting a 2D variogram...
Warning in proj4string(predictionDomain) :
CRS object has comment, which is lost in output
Warning in proj4string(predictionDomain) :
CRS object has comment, which is lost in output
Saving an object of class 'gstatModel'...
> plot(omm)
dev.new(): using pdf(file="Rplots11.pdf")
> ## produce SpatialPredictions:
> om.rk <- predict(omm, predictionLocations = meuse.grid)
Warning in proj4string(predictionLocations) :
CRS object has comment, which is lost in output
Warning in proj4string(object@sp) :
CRS object has comment, which is lost in output
Subsetting observations to fit the prediction domain in 2D...
Warning in proj4string(observed) :
CRS object has comment, which is lost in output
Warning in proj4string(predictionLocations) :
CRS object has comment, which is lost in output
Generating predictions using the trend model (RK method)...
[using ordinary kriging]
79% done
100% done
Running 5-fold cross validation using 'krige.cv'...
Warning in proj4string(obj) :
CRS object has comment, which is lost in output
Creating an object of class "SpatialPredictions"
> plot(om.rk)
> ## run a proper cross-validation:
> rk.cv <- validate(omm)
Estimating the predictionDomain...
Error: 'nndist' is not an exported object from 'namespace:spatstat'
Execution halted
Flavor: r-devel-windows-ix86+x86_64
Version: 0.5-5.1
Check: examples
Result: ERROR
Running examples in 'GSIF-Ex.R' failed
The error most likely occurred in:
> ### Name: gstatModel-class
> ### Title: A class for a geostatistical model
> ### Aliases: gstatModel-class validate,gstatModel-method
> ### plot,gstatModel,ANY-method validate print.gstatModel plot.gstatModel
> ### Keywords: classes
>
> ### ** Examples
>
> ## load observations:
> library(plotKML)
plotKML version 0.6-1 (2020-03-08)
URL: http://plotkml.r-forge.r-project.org/
> library(sp)
> library(maptools)
Checking rgeos availability: TRUE
> demo(meuse, echo=FALSE)
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> data(meuse)
> coordinates(meuse) <- ~x+y
> proj4string(meuse) <- CRS("+init=epsg:28992")
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> ## load grids:
> data(meuse.grid)
> coordinates(meuse.grid) <- ~x+y
> gridded(meuse.grid) <- TRUE
> proj4string(meuse.grid) <- CRS("+init=epsg:28992")
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> ## fit a model:
> omm <- fit.gstatModel(meuse, om~dist+ffreq,
+ fit.family=gaussian(link="log"), meuse.grid)
Fitting a 2D variogram...
Warning in proj4string(predictionDomain) :
CRS object has comment, which is lost in output
Warning in proj4string(predictionDomain) :
CRS object has comment, which is lost in output
Saving an object of class 'gstatModel'...
> plot(omm)
dev.new(): using pdf(file="Rplots11.pdf")
> ## produce SpatialPredictions:
> om.rk <- predict(omm, predictionLocations = meuse.grid)
Warning in proj4string(predictionLocations) :
CRS object has comment, which is lost in output
Warning in proj4string(object@sp) :
CRS object has comment, which is lost in output
Subsetting observations to fit the prediction domain in 2D...
Warning in proj4string(observed) :
CRS object has comment, which is lost in output
Warning in proj4string(predictionLocations) :
CRS object has comment, which is lost in output
Generating predictions using the trend model (RK method)...
[using ordinary kriging]
96% done
100% done
Running 5-fold cross validation using 'krige.cv'...
Warning in proj4string(obj) :
CRS object has comment, which is lost in output
Creating an object of class "SpatialPredictions"
> plot(om.rk)
> ## run a proper cross-validation:
> rk.cv <- validate(omm)
Estimating the predictionDomain...
Error: 'nndist' is not an exported object from 'namespace:spatstat'
Execution halted
Flavor: r-devel-windows-x86_64-gcc10-UCRT
Version: 0.5-5.1
Check: dependencies in R code
Result: NOTE
Missing or unexported objects:
‘spatstat::density.ppp’ ‘spatstat::nndist’ ‘spatstat::owin’
‘spatstat::ppp’
Flavors: r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64
Version: 0.5-5.1
Check: examples
Result: ERROR
Running examples in ‘GSIF-Ex.R’ failed
The error most likely occurred in:
> ### Name: gstatModel-class
> ### Title: A class for a geostatistical model
> ### Aliases: gstatModel-class validate,gstatModel-method
> ### plot,gstatModel,ANY-method validate print.gstatModel plot.gstatModel
> ### Keywords: classes
>
> ### ** Examples
>
> ## load observations:
> library(plotKML)
plotKML version 0.6-1 (2020-03-08)
URL: http://plotkml.r-forge.r-project.org/
> library(sp)
> library(maptools)
Checking rgeos availability: FALSE
Note: when rgeos is not available, polygon geometry computations in maptools depend on gpclib,
which has a restricted licence. It is disabled by default;
to enable gpclib, type gpclibPermit()
> demo(meuse, echo=FALSE)
> data(meuse)
> coordinates(meuse) <- ~x+y
> proj4string(meuse) <- CRS("+init=epsg:28992")
> ## load grids:
> data(meuse.grid)
> coordinates(meuse.grid) <- ~x+y
> gridded(meuse.grid) <- TRUE
> proj4string(meuse.grid) <- CRS("+init=epsg:28992")
> ## fit a model:
> omm <- fit.gstatModel(meuse, om~dist+ffreq,
+ fit.family=gaussian(link="log"), meuse.grid)
Fitting a 2D variogram...
Saving an object of class 'gstatModel'...
> plot(omm)
dev.new(): using pdf(file="Rplots11.pdf")
> ## produce SpatialPredictions:
> om.rk <- predict(omm, predictionLocations = meuse.grid)
Subsetting observations to fit the prediction domain in 2D...
Generating predictions using the trend model (RK method)...
[using ordinary kriging]
93% done
100% done
Running 5-fold cross validation using 'krige.cv'...
Creating an object of class "SpatialPredictions"
> plot(om.rk)
> ## run a proper cross-validation:
> rk.cv <- validate(omm)
Estimating the predictionDomain...
Error: 'nndist' is not an exported object from 'namespace:spatstat'
Execution halted
Flavor: r-patched-solaris-x86
Version: 0.5-5.1
Check: examples
Result: ERROR
Running examples in ‘GSIF-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: gstatModel-class
> ### Title: A class for a geostatistical model
> ### Aliases: gstatModel-class validate,gstatModel-method
> ### plot,gstatModel,ANY-method validate print.gstatModel plot.gstatModel
> ### Keywords: classes
>
> ### ** Examples
>
> ## load observations:
> library(plotKML)
plotKML version 0.6-1 (2020-03-08)
URL: http://plotkml.r-forge.r-project.org/
> library(sp)
> library(maptools)
Checking rgeos availability: FALSE
Note: when rgeos is not available, polygon geometry computations in maptools depend on gpclib,
which has a restricted licence. It is disabled by default;
to enable gpclib, type gpclibPermit()
> demo(meuse, echo=FALSE)
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> data(meuse)
> coordinates(meuse) <- ~x+y
> proj4string(meuse) <- CRS("+init=epsg:28992")
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> ## load grids:
> data(meuse.grid)
> coordinates(meuse.grid) <- ~x+y
> gridded(meuse.grid) <- TRUE
> proj4string(meuse.grid) <- CRS("+init=epsg:28992")
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> ## fit a model:
> omm <- fit.gstatModel(meuse, om~dist+ffreq,
+ fit.family=gaussian(link="log"), meuse.grid)
Fitting a 2D variogram...
Warning in proj4string(predictionDomain) :
CRS object has comment, which is lost in output
Warning in proj4string(predictionDomain) :
CRS object has comment, which is lost in output
Saving an object of class 'gstatModel'...
> plot(omm)
dev.new(): using pdf(file="Rplots11.pdf")
> ## produce SpatialPredictions:
> om.rk <- predict(omm, predictionLocations = meuse.grid)
Warning in proj4string(predictionLocations) :
CRS object has comment, which is lost in output
Warning in proj4string(object@sp) :
CRS object has comment, which is lost in output
Subsetting observations to fit the prediction domain in 2D...
Warning in proj4string(observed) :
CRS object has comment, which is lost in output
Warning in proj4string(predictionLocations) :
CRS object has comment, which is lost in output
Generating predictions using the trend model (RK method)...
[using ordinary kriging]
15% done
100% done
Running 5-fold cross validation using 'krige.cv'...
Warning in proj4string(obj) :
CRS object has comment, which is lost in output
Creating an object of class "SpatialPredictions"
> plot(om.rk)
> ## run a proper cross-validation:
> rk.cv <- validate(omm)
Estimating the predictionDomain...
Error: 'nndist' is not an exported object from 'namespace:spatstat'
Execution halted
Flavor: r-release-linux-x86_64
Version: 0.5-5.1
Check: examples
Result: ERROR
Running examples in 'GSIF-Ex.R' failed
The error most likely occurred in:
> ### Name: gstatModel-class
> ### Title: A class for a geostatistical model
> ### Aliases: gstatModel-class validate,gstatModel-method
> ### plot,gstatModel,ANY-method validate print.gstatModel plot.gstatModel
> ### Keywords: classes
>
> ### ** Examples
>
> ## load observations:
> library(plotKML)
plotKML version 0.6-1 (2020-03-08)
URL: http://plotkml.r-forge.r-project.org/
> library(sp)
> library(maptools)
Checking rgeos availability: FALSE
Note: when rgeos is not available, polygon geometry computations in maptools depend on gpclib,
which has a restricted licence. It is disabled by default;
to enable gpclib, type gpclibPermit()
> demo(meuse, echo=FALSE)
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> data(meuse)
> coordinates(meuse) <- ~x+y
> proj4string(meuse) <- CRS("+init=epsg:28992")
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> ## load grids:
> data(meuse.grid)
> coordinates(meuse.grid) <- ~x+y
> gridded(meuse.grid) <- TRUE
> proj4string(meuse.grid) <- CRS("+init=epsg:28992")
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> ## fit a model:
> omm <- fit.gstatModel(meuse, om~dist+ffreq,
+ fit.family=gaussian(link="log"), meuse.grid)
Fitting a 2D variogram...
Warning in proj4string(predictionDomain) :
CRS object has comment, which is lost in output
Warning in proj4string(predictionDomain) :
CRS object has comment, which is lost in output
Saving an object of class 'gstatModel'...
> plot(omm)
dev.new(): using pdf(file="Rplots11.pdf")
> ## produce SpatialPredictions:
> om.rk <- predict(omm, predictionLocations = meuse.grid)
Warning in proj4string(predictionLocations) :
CRS object has comment, which is lost in output
Warning in proj4string(object@sp) :
CRS object has comment, which is lost in output
Subsetting observations to fit the prediction domain in 2D...
Warning in proj4string(observed) :
CRS object has comment, which is lost in output
Warning in proj4string(predictionLocations) :
CRS object has comment, which is lost in output
Generating predictions using the trend model (RK method)...
[using ordinary kriging]
56% done
100% done
Running 5-fold cross validation using 'krige.cv'...
Warning in proj4string(obj) :
CRS object has comment, which is lost in output
Creating an object of class "SpatialPredictions"
> plot(om.rk)
> ## run a proper cross-validation:
> rk.cv <- validate(omm)
Estimating the predictionDomain...
Error: 'nndist' is not an exported object from 'namespace:spatstat'
Execution halted
Flavor: r-release-windows-ix86+x86_64
Version: 0.5-5.1
Check: examples
Result: ERROR
Running examples in 'GSIF-Ex.R' failed
The error most likely occurred in:
> ### Name: gstatModel-class
> ### Title: A class for a geostatistical model
> ### Aliases: gstatModel-class validate,gstatModel-method
> ### plot,gstatModel,ANY-method validate print.gstatModel plot.gstatModel
> ### Keywords: classes
>
> ### ** Examples
>
> ## load observations:
> library(plotKML)
plotKML version 0.6-1 (2020-03-08)
URL: http://plotkml.r-forge.r-project.org/
> library(sp)
> library(maptools)
Checking rgeos availability: FALSE
Note: when rgeos is not available, polygon geometry computations in maptools depend on gpclib,
which has a restricted licence. It is disabled by default;
to enable gpclib, type gpclibPermit()
> demo(meuse, echo=FALSE)
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> data(meuse)
> coordinates(meuse) <- ~x+y
> proj4string(meuse) <- CRS("+init=epsg:28992")
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> ## load grids:
> data(meuse.grid)
> coordinates(meuse.grid) <- ~x+y
> gridded(meuse.grid) <- TRUE
> proj4string(meuse.grid) <- CRS("+init=epsg:28992")
Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
Discarded datum Amersfoort in Proj4 definition
> ## fit a model:
> omm <- fit.gstatModel(meuse, om~dist+ffreq,
+ fit.family=gaussian(link="log"), meuse.grid)
Fitting a 2D variogram...
Warning in proj4string(predictionDomain) :
CRS object has comment, which is lost in output
Warning in proj4string(predictionDomain) :
CRS object has comment, which is lost in output
Saving an object of class 'gstatModel'...
> plot(omm)
dev.new(): using pdf(file="Rplots11.pdf")
> ## produce SpatialPredictions:
> om.rk <- predict(omm, predictionLocations = meuse.grid)
Warning in proj4string(predictionLocations) :
CRS object has comment, which is lost in output
Warning in proj4string(object@sp) :
CRS object has comment, which is lost in output
Subsetting observations to fit the prediction domain in 2D...
Warning in proj4string(observed) :
CRS object has comment, which is lost in output
Warning in proj4string(predictionLocations) :
CRS object has comment, which is lost in output
Generating predictions using the trend model (RK method)...
[using ordinary kriging]
14% done
100% done
Running 5-fold cross validation using 'krige.cv'...
Warning in proj4string(obj) :
CRS object has comment, which is lost in output
Creating an object of class "SpatialPredictions"
> plot(om.rk)
> ## run a proper cross-validation:
> rk.cv <- validate(omm)
Estimating the predictionDomain...
Error: 'nndist' is not an exported object from 'namespace:spatstat'
Execution halted
Flavor: r-oldrel-windows-ix86+x86_64