GRASS GIS manual: v.in.pygbif

NAME

v.in.pygbif - Search and import GBIF species distribution data

KEYWORDS

SYNOPSIS

v.in.pygbif

v.in.pygbif --help

v.in.pygbif [-brpigotns] output=name taxa=string [mask=name] [date_from=string] [date_to=string] [basisofrecord=string] rank=string [recordedby=string] [institutioncode=string] [country=string] [continent=string] [--overwrite] [--help] [--verbose] [--quiet] [--ui]

Flags:

-b: Do not build topology
-r: Do not limit import to current region (works only in lat/lon)
-p: Print result from matching taxa names and exit
-i: Produce individual map for each taxon
-g: Print result from matching taxon names in shell script style and exit
-o: Print number of matching occurrences per taxon and exit
-t: Print result of taxon matching in table format and exit
-n: Do not limit search to records with coordinates
-s: Do also import occurrences with spatial issues
--overwrite: Allow output files to overwrite existing files
--help: Print usage summary
--verbose: Verbose module output
--quiet: Quiet module output
--ui: Force launching GUI dialog

Parameters:

output=name [required]: Name of resulting vector map with occurrences
taxa=string [required]: Comma separated list of taxon names or keys to fetch data for
mask=name: Name of input vector map; Vector map that delimits region of interest
date_from=string: Lower bound of acceptable dates (format: yyyy, yyyy-MM, yyyy-MM-dd, or MM-dd)
date_to=string: Upper bound of acceptable dates (format: yyyy, yyyy-MM, yyyy-MM-dd, or MM-dd)
basisofrecord=string: Accepted basis of records; Options: ALL, FOSSIL_SPECIMEN, HUMAN_OBSERVATION, LITERATURE, LIVING_SPECIMEN, MACHINE_OBSERVATION, OBSERVATION, PRESERVED_SPECIMEN, UNKNOWN; Default: ALL
rank=string [required]: Rank of the taxon to search for; Options: class, cultivar, cultivar_group, domain, family, form, genus, informal, infrageneric_name, infraorder, infraspecific_name, infrasubspecific_name, kingdom, order, phylum, section, series, species, strain, subclass, subfamily, subform, subgenus, subkingdom, suborder, subphylum, subsection, subseries, subspecies, subtribe, subvariety, superclass, superfamily, superorder, superphylum, suprageneric_name, tribe, unranked, variety; Default: species
recordedby=string: The person who recorded the occurrence.
institutioncode=string: An identifier of any form assigned by the source to identify the institution the record belongs to.
country=string: The 2-letter country code (as per ISO-3166-1) of the country in which the occurrence was recorded
continent=string: The continent in which the occurrence was recorded; Options: africa, antarctica, asia, europe, north_america, oceania, south_america

DESCRIPTION
EXAMPLES
SEE ALSO:
REFERENCES
AUTHORS

DESCRIPTION

The module v.in.pygbif is a wrapper around the pygbif package.
Thus, pygbif is a dependency of v.in.pygbif. pygbif can be installed like this:

pip install pygbif [--user]

Through pygbif, the module allows to download data from the Global Biodiversity Information Facility (GBIF) using different search/filter criteria.

Since some of the Darwin Core attribute columns represent SQL key-words, the prefix "g_" was added to all attribute columns. The names of taxa provided at input to the search are written to the column "g_search".

The point data is downloaded and projected into the current location. By default import is limited to the current computational region in order to avoid possible projection errors, e.g. when projecting global data into UTM locations. However, in lat⁄lon location this limitation can be skiped using the -r flag.
Providing a mask automatically overrides the limitation of the search to the current computational region.

Terminology in v.in.pygbif is oriented on the Darwin Core standard: http://rs.tdwg.org/dwc/.

Please note that the GBIF Search API has a hard limit of 200,000 occurrences per request. If you want to fetch more records, either subivide your area of interest or split up your search by using different search criteria.
When a list of taxa is given as input, v.in.pygbif issues a search for each taxon individually. Thus, in order to split up a search it is recommended to either use different filters on time or space.

EXAMPLES

# Check matching taxon names and alternatives in GBIF:
v.in.pygbif taxa="Poa,Plantago" rank=genus  -p

# Check matching taxon names and alternatives in GBIF and print output in table:
v.in.pygbif taxa="Poa pratensis,Plantago media,Acer negundo" rank=species -t

# Get number of occurrences for two geni:
v.in.pygbif taxa="Poa,Plantago" rank=genus  -o

# Get number of occurrences for two species:
v.in.pygbif taxa="Poa pratensis,Plantago media" rank=species  -o

# Fetch occurrences for two species into a map for each species:
v.in.pygbif taxa="Poa pratensis,Plantago media" rank=species output=gbif -i