calculate_sampsize: Sample size determination

In tgoodbody/sgsR: Structurally Guided Sampling

Sample size determination

Description

Determine a samples size for simple random sampling using relative standard error

Usage

calculate_sampsize(
  mraster,
  rse = NULL,
  start = 0.01,
  end = 0.05,
  increment = 0.001,
  plot = FALSE
)

Arguments

mraster	spatRaster. Metrics raster. All values must be numeric.
rse	Numeric. Desired relative standard error (coefficient of variation of the mean) threshold to determine sample size.
start	Numeric. First rse value to begin rse sequence. default = 0.01.
end	Numeric. Final rse value to end rse sequence. default = 0.05.
increment	Numeric. Value to increment between start & end. default = 0.001.
plot	Logical. if TRUE output graphical representation of estimated sample size vs. rse.

Value

A data.frame of sample size and rse by raster variable.

Note

rse = (100 * SE) / mean)

Where:

• SE - Standard error of the mean

• s - Standard deviation of the observations

• n - Number of observations

Author(s)

Tristan R.H. Goodbody

References

Benedetti, R., Piersimoni, F., & Postiglione, P. (2015). Sampling spatial units for agricultural surveys. pp 202-203. Berlin: Springer.

See Also

Other calculate functions: calculate_allocation(), calculate_allocation_existing(), calculate_coobs(), calculate_distance(), calculate_pcomp(), calculate_pop(), calculate_representation()

Examples

#--- Load raster ---#
r <- system.file("extdata", "mraster.tif", package = "sgsR")
mr <- terra::rast(r)

calculate_sampsize(
  mraster = mr,
  rse = 0.01
)

calculate_sampsize(
  mraster = mr
)

calculate_sampsize(
  mraster = mr,
  rse = 0.025,
  start = 0.01,
  end = 0.08,
  increment = 0.01
)

#--- higher variance leads to need for more samples ---#

tgoodbody/sgsR documentation built on March 7, 2024, 2:20 a.m.