* using log directory ‘/Volumes/Builds/packages/big-sur-x86_64/results/4.4/StrucDiv.Rcheck’
* using R version 4.4.0 (2024-04-24)
* using platform: x86_64-apple-darwin20
* R was compiled by
    Apple clang version 14.0.0 (clang-1400.0.29.202)
    GNU Fortran (GCC) 12.2.0
* running under: macOS Ventura 13.3.1
* using session charset: UTF-8
* checking for file ‘StrucDiv/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘StrucDiv’ version ‘0.2.1’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for executable files ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘StrucDiv’ can be installed ... [234s/79s] OK
See 'https://www.r-project.org/nosvn/R.check/r-release-macos-x86_64/StrucDiv-00install.html' for details.
* used C++ compiler: ‘Apple clang version 14.0.3 (clang-1403.0.22.14.1)’
* used SDK: ‘MacOSX11.3.sdk’
* checking C++ specification ... NOTE
  Specified C++11: please drop specification unless essential
* checking installed package size ... NOTE
  installed size is 11.4Mb
  sub-directories of 1Mb or more:
    libs  10.4Mb
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... [5s/5s] OK
* checking whether the package can be loaded with stated dependencies ... [5s/5s] OK
* checking whether the package can be unloaded cleanly ... [5s/5s] OK
* checking whether the namespace can be loaded with stated dependencies ... [5s/5s] OK
* checking whether the namespace can be unloaded cleanly ... [5s/5s] OK
* checking loading without being on the library search path ... [5s/5s] OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... [12s/12s] OK
* checking Rd files ... [0s/0s] OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... [0s/0s] OK
* checking LazyData ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking line endings in C/C++/Fortran sources/headers ... OK
* checking line endings in Makefiles ... OK
* checking compilation flags in Makevars ... OK
* checking for GNU extensions in Makefiles ... OK
* checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK
* checking use of PKG_*FLAGS in Makefiles ... OK
* checking compiled code ... OK
* checking installed files from ‘inst/doc’ ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... [5s/5s] OK
* checking differences from ‘StrucDiv-Ex.Rout’ to ‘StrucDiv-Ex.Rout.save’ ... OK

43,61c43,57
< > ## Not run: 
< > ##D # Construct a small raster file containing realizations of normal random variables:
< > ##D a <- raster::raster(matrix(rnorm(648), 18, 36))
< > ##D raster::plot(a)
< > ##D # Calculate contrast:
< > ##D contrast_a <- strucDiv(a, wsl = 3, fun = contrast)
< > ##D raster::plot(contrast_a)
< > ##D 
< > ##D # Calculate dissimilarity:
< > ##D b <- raster::raster(matrix(rnorm(100), 10, 10))
< > ##D raster::plot(b)
< > ##D dissim_b <- strucDiv(b, wsl = 5, angle = "horizontal", fun = dissimilarity)
< > ##D raster::plot(dissim_b)
< > ##D 
< > ##D # Calculate structural diversity entropy with delta = 2 on NDVI data binned to 15 gray levels
< > ##D ndvi.15gl <- raster::raster(ndvi.15gl)
< > ##D sde_ndvi15 <- strucDiv(ndvi.15gl, wsl = 3, fun = entropy, delta = 2)
< > ##D raster::plot(sde_ndvi15)
< > ## End(Not run)
---
> > # Construct a small raster file containing realizations of normal random variables:
> > a <- raster::raster(matrix(rnorm(648), 18, 36))
> > raster::plot(a)
> > # Calculate contrast:
> > contrast_a <- strucDiv(a, wsl = 3, fun = contrast, na.handling = na.omit, rank = FALSE)
> Extracting values from raster file
> Calculating gray level co-occurrence matrix
> 0%   10   20   30   40   50   60   70   80   90   100%
> [----|----|----|----|----|----|----|----|----|----|
> **************************************************|
> Calculating horizontal structural diversity
> 0%   10   20   30   40   50   60   70   80   90   100%
> [----|----|----|----|----|----|----|----|----|----|
> **************************************************|
> > raster::plot(contrast_a)
62a59,73
> > # Calculate dissimilarity:
> > b <- raster::raster(matrix(rnorm(100), 10, 10))
> > raster::plot(b)
> > dissim_b <- strucDiv(b, wsl = 5, dist = 1, angle =  "all", fun = dissimilarity, 
> +     na.handling = na.pass, rank = FALSE)
> Extracting values from raster file
> Calculating gray level co-occurrence matrix
> 0%   10   20   30   40   50   60   70   80   90   100%
> [----|----|----|----|----|----|----|----|----|----|
> **************************************************|
> **************************************************************Calculating horizontal structural diversity
> 0%   10   20   30   40   50   60   70   80   90   100%
> [----|----|----|----|----|----|----|----|----|----|
> **************************************************|
> **************************************************************> raster::plot(dissim_b)
63a75,88
> > # Calculate structural diversity entropy with delta = 2 on NDVI data binned to 15 gray levels
> > ndvi.15gl <- raster::raster(ndvi.15gl)
> > sde_ndvi15 <- strucDiv(ndvi.15gl, wsl = 3, fun = entropy, delta = 2, na.handling = na.pass, 
> +     rank = FALSE)
> Extracting values from raster file
> Calculating gray level co-occurrence matrix
> 0%   10   20   30   40   50   60   70   80   90   100%
> [----|----|----|----|----|----|----|----|----|----|
> **************************************************|
> Calculating horizontal structural diversity
> 0%   10   20   30   40   50   60   70   80   90   100%
> [----|----|----|----|----|----|----|----|----|----|
> **************************************************|
> > raster::plot(sde_ndvi15)
64a90,92
> > 
> > 
> > 
79,89c107,111
< > ## Not run: 
< > ##D # Calculate entropy on simulated random patch data
< > ##D a <- raster::raster(matrix(rnorm(100), 10, 10))
< > ##D sdivDom <- strucDivDom(a, angle = "vertical", fun = entropyDom)
< > ##D # Structural diversity value of the domain
< > ##D div <- sdivDom$div
< > ##D # Gray level co-occurrence matrix
< > ##D glcm <- sdivDom$GLCM
< > ##D # Diversity matrix
< > ##D divmat <- sdivDom$divMat
< > ## End(Not run)
---
> > # Calculate entropy on NDVI data binned to 15 gray levels
> > ndvi15 <- raster::raster(ndvi.15gl)
> > ndvi15Dom <- strucDivDom(ndvi15, fun = entropyDom)
> > ndvi15GLCM <- ndvi15Dom$GLCM
> > ndvi15Div <- ndvi15Dom$div
92a115
> > 
106,125c129,170
< > ## Not run: 
< > ##D # Construct a small raster file containing realizations of normal random variables:
< > ##D a <- raster::raster(matrix(rnorm(400), 20, 20))
< > ##D raster::plot(a)
< > ##D # Calculate structural diversity entropy with delta = 2, double moving window scheme
< > ##D sde_1 <- strucDivNest(a, wslI = 3, wslO = 5, angle = "horizontal", fun = entropy, delta = 2)
< > ##D raster::plot(sde_1)
< > ##D 
< > ##D # Calculate structural diversity entropy with delta = 1, block nesting scheme 
< > ##D b <- raster::raster(matrix(rnorm(2500), 50, 50))
< > ##D raster::plot(b)
< > ##D sde_b <- strucDivNest(b, wslI = 3, dimB = c(10, 10), oLap = 4, priorB = TRUE, fun = entropy, 
< > ##D     delta = 1)
< > ##D raster::plot(sde_b)
< > ##D 
< > ##D # Calculate entropy on simulated random patch, domain nesting scheme 
< > ##D patch <- raster::raster(patch)
< > ##D entropy_patch <- strucDivNest(patch, wslI = 5, domain = TRUE, angle = "vertical", fun = entropy)
< > ##D raster::plot(entropy_patch)
< > ## End(Not run)
---
> > # Construct a small raster file containing realizations of normal random variables:
> > a <- raster::raster(matrix(rnorm(648), 18, 36))
> > raster::plot(a)
> > # Calculate structural diversity entropy with delta = 2, double moving window scheme
> > sde_a <- strucDivNest(a, wslI = 3, wslO = 7, fun = entropy, delta = 2, na.handling = na.omit, 
> +     rank = FALSE)
> Extracting values from raster file
> Calculating gray level co-occurrence matrix
> 0%   10   20   30   40   50   60   70   80   90   100%
> [----|----|----|----|----|----|----|----|----|----|
> **************************************************|
> Calculating horizontal structural diversity
> 0%   10   20   30   40   50   60   70   80   90   100%
> [----|----|----|----|----|----|----|----|----|----|
> **************************************************|
> > raster::plot(sde_a)
> > 
> > # Calculate structural diversity entropy with delta = 1, block nesting scheme 
> > b <- raster::raster(matrix(rnorm(2500), 50, 50))
> > raster::plot(b)
> > sde_b <- strucDivNest(b, wslI = 3, dimB = c(10, 10), oLap = 4, priorB = TRUE, fun = entropy, 
> +     delta = 1, na.handling = na.pass, rank = FALSE)
> 
>   |                                                                            
>   |                                                                      |   0%
> > raster::plot(sde_b)
> > 
> > # Calculate entropy on NDVI data binned to 15 gray levels, domain nesting scheme 
> > ndvi.15gl <- raster::raster(ndvi.15gl)
> > entropyNest_ndvi15 <- strucDivNest(ndvi.15gl, wslI = 5, domain = TRUE, fun = entropy, 
> +     na.handling = na.pass, rank = FALSE)
> Extracting values from raster file
> Calculating gray level co-occurrence matrix
> 0%   10   20   30   40   50   60   70   80   90   100%
> [----|----|----|----|----|----|----|----|----|----|
> **************************************************|
> Calculating horizontal structural diversity
> 0%   10   20   30   40   50   60   70   80   90   100%
> [----|----|----|----|----|----|----|----|----|----|
> **************************************************|
> > raster::plot(entropyNest_ndvi15)
> > 
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ... [6s/6s] OK
  Running ‘testthat.R’ [5s/5s]
  Comparing ‘testthat.Rout’ to ‘testthat.Rout.save’ ... OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking re-building of vignette outputs ... [9s/9s] OK
* checking PDF version of manual ... [6s/6s] OK
* DONE
Status: 2 NOTEs
* using check arguments '--no-clean-on-error '

* elapsed time (check, wall clock): 3:32