When writing raster-type objects to disk, a datatype
can be specified. These
functions help identify what smallest datatype
can be used.
assessDataType(ras, type = "writeRaster")
# S3 method for Raster
assessDataType(ras, type = "writeRaster")
# S3 method for RasterStack
assessDataType(ras, type = "writeRaster")
# S3 method for default
assessDataType(ras, type = "writeRaster")
assessDataTypeGDAL(ras)
The RasterLayer or RasterStack for which data type will be assessed.
Character. "writeRaster"
(default) or "GDAL"
to return the recommended
data type for writing from the raster packages, respectively, or
"projectRaster"
to return recommended resampling type.
A character string indicating the data type of the spatial layer
(e.g., "INT2U"). See terra::datatype()
or raster::dataType()
## LOG1S
library(raster)
#> Loading required package: sp
ras <- raster(ncol = 10, nrow = 10)
ras[] <- rep(c(0,1),50)
assessDataType(ras)
#> [1] "LOG1S"
ras[] <- rep(c(TRUE,FALSE),50)
assessDataType(ras)
#> [1] "LOG1S"
ras[] <- c(NA, NA, rep(c(0,1),49))
assessDataType(ras)
#> [1] "LOG1S"
ras <- raster(ncol = 10, nrow = 10)
ras[] <- c(0, NaN, rep(c(0,1),49))
assessDataType(ras)
#> [1] "LOG1S"
## INT1S
ras[] <- -1:98
assessDataType(ras)
#> [1] "INT1S"
ras[] <- c(NA, -1:97)
assessDataType(ras)
#> [1] "INT1S"
## INT1U
ras <- raster(ncol = 10, nrow = 10)
ras[] <- 1:100
assessDataType(ras)
#> [1] "INT1U"
ras[] <- c(NA, 2:100)
assessDataType(ras)
#> [1] "INT1U"
## INT2U
ras <- raster(ncol = 10, nrow = 10)
ras[] <- round(runif(100, min = 64000, max = 65000))
assessDataType(ras)
#> [1] "INT2U"
## INT2S
ras <- raster(ncol = 10, nrow = 10)
ras[] <- round(runif(100, min = -32767, max = 32767))
assessDataType(ras)
#> [1] "INT2S"
ras[54] <- NA
assessDataType(ras)
#> [1] "INT2S"
## INT4U
ras <- raster(ncol = 10, nrow = 10)
ras[] <- round(runif(100, min = 0, max = 500000000))
assessDataType(ras)
#> [1] "INT4U"
ras[14] <- NA
assessDataType(ras)
#> [1] "INT4U"
## INT4S
ras <- raster(ncol = 10, nrow = 10)
ras[] <- round(runif(100, min = -200000000, max = 200000000))
assessDataType(ras)
#> [1] "INT4S"
ras[14] <- NA
assessDataType(ras)
#> [1] "INT4S"
## FLT4S
ras <- raster(ncol = 10, nrow = 10)
ras[] <- runif(100, min = -10, max = 87)
assessDataType(ras)
#> [1] "FLT4S"
ras <- raster(ncol = 10, nrow = 10)
ras[] <- round(runif(100, min = -3.4e+26, max = 3.4e+28))
assessDataType(ras)
#> [1] "FLT4S"
ras <- raster(ncol = 10, nrow = 10)
ras[] <- round(runif(100, min = 3.4e+26, max = 3.4e+28))
assessDataType(ras)
#> [1] "FLT4S"
ras <- raster(ncol = 10, nrow = 10)
ras[] <- round(runif(100, min = -3.4e+26, max = -1))
assessDataType(ras)
#> [1] "FLT4S"
## FLT8S
ras <- raster(ncol = 10, nrow = 10)
ras[] <- c(-Inf, 1, rep(c(0,1),49))
assessDataType(ras)
#> [1] "FLT8S"
ras <- raster(ncol = 10, nrow = 10)
ras[] <- c(Inf, 1, rep(c(0,1),49))
assessDataType(ras)
#> [1] "FLT8S"
ras <- raster(ncol = 10, nrow = 10)
ras[] <- round(runif(100, min = -1.7e+30, max = 1.7e+308))
assessDataType(ras)
#> [1] "FLT8S"
ras <- raster(ncol = 10, nrow = 10)
ras[] <- round(runif(100, min = 1.7e+30, max = 1.7e+308))
assessDataType(ras)
#> [1] "FLT8S"
ras <- raster(ncol = 10, nrow = 10)
ras[] <- round(runif(100, min = -1.7e+308, max = -1))
assessDataType(ras)
#> [1] "FLT8S"
# stack
ras <- raster(ncol = 10, nrow = 10)
ras[] <- rep(c(0,1),50)
ras1 <- raster(ncol = 10, nrow = 10)
ras1[] <- round(runif(100, min = -1.7e+308, max = -1))
sta <- stack(ras, ras1)
assessDataType(sta)
#> [1] "LOG1S" "FLT8S"