is.na,GRaster-method | R Documentation |
You can apply mathematical functions to each layer of a GRaster
. The output is a GRaster
with the same number or layers as the input. Available functions include:
NA
s:
is.na()
not.na()
Absolute value: abs()
Trigonometric functions (assumes values are in radians):
cos()
sin()
tan()
acos()
asin()
atan()
atan2()
Exponential and logarithmic functions:
exp()
log()
(natural log)
ln()
(also natural log)
log2()
(log, base 2)
log10()
(log, base 10)
log1p()
(same as log(x + 1)
)
log10p()
(same as log(x + 1, base = 10)
)
Power functions:
sqrt()
x^y
Rounding:
round()
floor()
(round down)
ceiling()
(round up)
trunc()
(remove decimal portion)
## S4 method for signature 'GRaster'
is.na(x)
## S4 method for signature 'GRaster'
not.na(x, falseNA = FALSE)
## S4 method for signature 'GRaster'
abs(x)
## S4 method for signature 'GRaster'
sin(x)
## S4 method for signature 'GRaster'
cos(x)
## S4 method for signature 'GRaster'
tan(x)
## S4 method for signature 'GRaster'
asin(x)
## S4 method for signature 'GRaster'
acos(x)
## S4 method for signature 'GRaster'
atan(x)
## S4 method for signature 'GRaster,GRaster'
atan2(y, x)
## S4 method for signature 'GRaster'
exp(x)
## S4 method for signature 'GRaster'
log1p(x)
## S4 method for signature 'GRaster'
log10p(x)
## S4 method for signature 'GRaster'
log(x, base = exp(1))
## S4 method for signature 'GRaster'
ln(x)
## S4 method for signature 'GRaster'
log2(x)
## S4 method for signature 'GRaster'
log10(x)
## S4 method for signature 'GRaster'
sqrt(x)
## S4 method for signature 'GRaster'
round(x, digits = 0)
## S4 method for signature 'GRaster'
floor(x)
## S4 method for signature 'GRaster'
ceiling(x)
## S4 method for signature 'GRaster'
trunc(x)
x , y |
|
falseNA |
Logical (function |
base |
Numeric: Base of the logarithm. |
digits |
Numeric: Number of digits to round to. If negative, then rounding is to the nearest positive power of 10. For example, if |
A GRaster
.
if (grassStarted()) {
# Setup
library(sf)
library(terra)
# Example data
madElev <- fastData("madElev")
# Convert a SpatRaster to a GRaster
elev <- fast(madElev)
elevs <- c(elev, elev, log10(elev) - 1, sqrt(elev))
names(elevs) <- c("elev1", "elev2", "log_elev", "sqrt_elev")
elev
elevs
# do some math
elev + 100
elev - 100
elev * 100
elev / 100
elev ^ 2
elev %/% 100 # divide then round down
elev %% 100 # modulus
100 + elev
100 %/% elev
100 %% elev
elevs + 100
100 + elevs
# math with logicals
elev + TRUE
elev - TRUE
elev * TRUE
elev / TRUE
elev ^ TRUE
elev %/% TRUE # divide then round down
elev %% TRUE # modulus
elevs + TRUE
TRUE + elevs
# Raster interacting with raster(s):
elev + elev
elev - elev
elev * elev
elev / elev
elev ^ log(elev)
elev %/% sqrt(elev) # divide then round down
elev %% sqrt(elev) # modulus
elevs + elev
elev * elevs
# sign
abs(-1 * elev)
abs(elevs)
# powers
sqrt(elevs)
# trigonometry
sin(elev)
cos(elev)
tan(elev)
asin(elev)
acos(elev)
atan(elev)
atan(elevs)
atan2(elev, elev^1.2)
atan2(elevs, elev^1.2)
atan2(elev, elevs^1.2)
atan2(elevs, elevs^1.2)
# logarithms
exp(elev)
log(elev)
ln(elev)
log2(elev)
log1p(elev)
log10(elev)
log10p(elev)
log(elev, 3)
log(elevs)
# rounding
round(elev + 0.5)
floor(elev + 0.5)
ceiling(elev + 0.5)
trunc(elev + 0.5)
}
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