Automated Cleaning of Occurrence Records from Biological Collections

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Documentation for package ‘CoordinateCleaner’ version 3.0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

aohi	Artificial Hotspot Occurrence Inventory
buffland	Global Coastlines buffered by 1 degree
buffsea	Global Coastlines buffered by -1 degree
cc_aohi	Identify Coordinates in Artificial Hotspot Occurrence Inventory
cc_cap	Identify Coordinates in Vicinity of Country Capitals.
cc_cen	Identify Coordinates in Vicinity of Country and Province Centroids
cc_coun	Identify Coordinates Outside their Reported Country
cc_dupl	Identify Duplicated Records
cc_equ	Identify Records with Identical lat/lon
cc_gbif	Identify Records Assigned to GBIF Headquarters
cc_inst	Identify Records in the Vicinity of Biodiversity Institutions
cc_iucn	Identify Records Outside Natural Ranges
cc_outl	Identify Geographic Outliers in Species Distributions
cc_sea	Identify Non-terrestrial Coordinates
cc_urb	Identify Records Inside Urban Areas
cc_val	Identify Invalid lat/lon Coordinates
cc_zero	Identify Zero Coordinates
cd_ddmm	Identify Datasets with a Degree Conversion Error
cd_round	Identify Datasets with Rasterized Coordinates
cf_age	Identify Fossils with Outlier Age
cf_equal	Identify Fossils with equal min and max age
cf_outl	Identify Outlier Records in Space and Time
cf_range	Identify Fossils with Extreme Age Ranges
clean_coordinates	Geographic Cleaning of Coordinates from Biologic Collections
clean_dataset	Coordinate Cleaning using Dataset Properties
clean_fossils	Geographic and Temporal Cleaning of Records from Fossil Collections
countryref	Country Centroids and Country Capitals
institutions	Global Locations of Biodiversity Institutions
is.spatialvalid	Check spatialvalid object
pbdb_example	Example data from the Paleobiologydatabase
plot.spatialvalid	Plot Method for Class Spatialvalid
summary.spatialvalid	Geographic Cleaning of Coordinates from Biologic Collections
write_pyrate	Create Input Files for PyRate