resid.median: Residual Median and Quantile Filters for Grids
In debangs/RSAGA: SAGA Geoprocessing and Terrain Analysis in R

Description Usage Arguments Details Value See Also

These functions use the median and other quantiles to describe the difference between a grid value and its neighborhood. They are designed for use with focal.function.

## S3 method for class 'median'
resid(x)

## S3 method for class 'minmedmax'
resid(x)

## S3 method for class 'quantile'
resid(x, probs)

## S3 method for class 'quartiles'
resid(x)

`x`	a square matrix with the grid data from the moving window, possibly containing `NA` values
`probs`	numeric vector of probabilities in [0,1] to be passed to `quantile`

These functions are designed for being called by focal.function, which repeatedly passes the contents of a square or circular moving window to these functions.

The resid.median function rests the value of the central grid cell from the median of the whole moving window. Thus, in terms of topography, a positive residual median indicates that this grid cell stands out compared to its surroundings. resid.quantile gives more flexibility in designing such residual attributes.

If x is provided, a numeric vector of length 1 (resid.median), 3 (resid.minmedmax and resid.quartiles), or length(probs) (resid.quantile).

If x is missing, a character vector of same length giving suggested variable (or file) names, such as "rmed". See focal.function for details.

focal.function, quantile, median, centervalue

debangs/RSAGA documentation built on May 15, 2019, 1:53 a.m.