Detect geographic outliers
geoOutliers(
df,
xf,
yf,
.alpha.parameter,
.distance.parameter = 1000,
.medianDeviation.parameter = 5,
.samplingIntensThreshold.parameter = 0.1,
method = "all",
.projString,
do = TRUE,
verbose = FALSE
)data.frame
data.frame of species occurrences
character. column name in df containing the x coordinates
character. column name in df containing the y coordinates
parameter setting for alphahull
numeric. Maximum distance allowed. Default to 1000
numeric. Deviation parameter to . Default to 0.1
charcter. Vector of methods to be used. See details. Default 'all'
proj4string character. Indicate coordinate reference system
logical. Should tests be performed? Default TRUE
logical. Print messages? Default FALSE
Josep M Serra-Diaz (pep.serradiaz@agroparistech.fr), Cory Merow (cmerow@gmail.com)
Methods implented are 'alphaHull', detecting species outside an alphaHull level (default 2),
'alphaHull'
'distance' corresponds to 'distance' method in CoordinateCleaner::cc_outl(method='distance'). See ?CoordinateCleaner::cc_outl
'median' corresponds to 'mad' method in CoordinateCleaner::cc_outl(method='mad'). See ?CoordinateCleaner::cc_outl
'quantSamplingCorrected' corresponds to 'mad' method in CoordinateCleaner::cc_outl(method='quantile'). See ?CoordinateCleaner::cc_outl
'grubbs' implements Grubbs test to find spatial outliers. See ?findSpatialOutliers for details
getPointsOutAlphaHull, cc_outl, findSpatialOutliers