spatialFilter: Explore all possible fitting and theshold methods from the...

In gianlucafilippa/phenopix: Process Digital Images of a Vegetation Cover

Description

This function allows to fast compute all fitting and thresholding methods on a given greennes time series.

Usage

spatialFilter(spatial.list, filter=c('night','spline', 'max'), 
  filter.options=NULL, 
    ncores='all',log.file=NULL, NDVI=FALSE)

Arguments

spatial.list	An object in output from function extractVIs() with spatial = TRUE.
filter	Character names for filters. Chose one (or more) between 'night', 'max', 'spline', 'blue' and 'mad'. The order provided in this argument determines the order of application of filters. See details for further information on filters.
filter.options	If NULL filter.options defaults to set values, otherwise they must be specified in a named list. Filter options are designed to work with a wide range of data, the user must change them with caution.
ncores	Number of processors to be used in parallel computation, defaults to 'all' which will accidentally slow down any other activity on your computer. Otherwise set the number of processors you want to use in parallelization.
log.file	It can be NULL or a path where to generate and refresh a txt file which logs the progress of the filtering procedure
NDVI	If TRUE filter is applied to NDVI values, data must be formatted differently from usual filtering.

Details

This function performs the same task of autoFilter but in a pixel-by-pixel analysis

Author(s)

Gianluca Filippa <[e-mail]>

See Also

autoFilter

gianlucafilippa/phenopix documentation built on Nov. 4, 2019, 1:06 p.m.