Ops.band_group: Extract certain statistics of each band.

In ursa: Non-Interactive Spatial Tools for Raster Processing and Visualization

Extract certain statistics of each band.

Description

Function from this band.* list returns required statistics for each band.

Usage

band_mean(obj)
band_sd(obj)
band_sum(obj)
band_min(obj)
band_max(obj)
band_n(obj)
band_nNA(obj)
band_quantile(obj, ...)

Arguments

obj	Object of class ursaRaster.
...	Arguments, which are passed to generic quantile function, e.g. probs, type.

Details

• band_mean returns mean value.

• band_sd returns value of standard deviation with n-1 denominator.

• band_sum returns sum of values.

• band_min returns minimal value.

• band_max returns maximal value.

• band_n returns number of non-NA pixels.

• band_nNA returns number of NA pixels.

• band_quantile returns matrix of quantiles.

Value

Named vector of numerical or integer values. Band names are used for naming.

Note

Currently, implementation is not optimal, because firstly bundle of statistics is computed using band_stat function, and then required statistics is extracted.

Author(s)

Nikita Platonov [e-mail]

See Also

band_stat

Examples

session_grid(NULL)
a <- ursa_dummy()
print(a)
print(a<80)
print(class(a))
a[a<80]
a[a<80] <- NA
b1 <- band_stat(a)
print(b1)
b2.n <- band_n(a)
str(b2.n)
b2.mean <- band_mean(a)
print(b1$mean)
print(b2.mean)
print(b1$mean-b2.mean)
print(band_quantile(a))

ursa documentation built on Oct. 17, 2023, 5:11 p.m.