occ_download: Spin up a download request for GBIF occurrence data.

In rgbif: Interface to the Global Biodiversity Information Facility API

Spin up a download request for GBIF occurrence data.

Description

Spin up a download request for GBIF occurrence data.

Usage

occ_download(
  ...,
  body = NULL,
  type = "and",
  format = "DWCA",
  user = NULL,
  pwd = NULL,
  email = NULL,
  curlopts = list()
)

occ_download_prep(
  ...,
  body = NULL,
  type = "and",
  format = "DWCA",
  user = NULL,
  pwd = NULL,
  email = NULL,
  curlopts = list()
)

Arguments

...	For occ_download() and occ_download_prep(), one or more objects of class occ_predicate or occ_predicate_list, created by ⁠pred*⁠ functions (see download_predicate_dsl). If you use this, don't use body parameter.
body	if you prefer to pass in the payload yourself, use this parameter. If you use this, don't pass anything to the dots. Accepts either an R list, or JSON. JSON is likely easier, since the JSON library jsonlite requires that you unbox strings that shouldn't be auto-converted to arrays, which is a bit tedious for large queries. optional
type	(character) One of equals (=), and (&), or (|), lessThan (<), lessThanOrEquals (<=), greaterThan (>), greaterThanOrEquals (>=), in, within, not (!), like, isNotNull
format	(character) The download format. One of 'DWCA' (default), 'SIMPLE_CSV', or 'SPECIES_LIST'
user	(character) User name within GBIF's website. Required. See "Authentication" below
pwd	(character) User password within GBIF's website. Required. See "Authentication" below
email	(character) Email address to receive download notice done email. Required. See "Authentication" below
curlopts	list of named curl options passed on to HttpClient. see curl::curl_options for curl options

geometry

When using the geometry parameter, make sure that your well known text (WKT) is formatted as GBIF expects it. They expect WKT to have a counter-clockwise winding order. For example, the following is clockwise ⁠POLYGON((-19.5 34.1, -25.3 68.1, 35.9 68.1, 27.8 34.1, -19.5 34.1))⁠, whereas they expect the other order: ⁠POLYGON((-19.5 34.1, 27.8 34.1, 35.9 68.1, -25.3 68.1, -19.5 34.1))⁠

note that coordinate pairs are ⁠longitude latitude⁠, longitude first, then latitude

you should not get any results if you supply WKT that has clockwise winding order.

also note that occ_search()/occ_data() behave differently with respect to WKT in that you can supply clockwise WKT to those functions but they treat it as an exclusion, so get all data not inside the WKT area.

Methods

• occ_download_prep: prepares a download request, but DOES NOT execute it. meant for use with occ_download_queue()

• occ_download: prepares a download request and DOES execute it

Authentication

For user, pwd, and email parameters, you can set them in one of three ways:

• Set them in your .Rprofile file with the names gbif_user, gbif_pwd, and gbif_email

• Set them in your .Renviron/.bash_profile (or similar) file with the names GBIF_USER, GBIF_PWD, and GBIF_EMAIL

• Simply pass strings to each of the parameters in the function call

We strongly recommend the second option - storing your details as environment variables as it's the most widely used way to store secrets.

See ?Startup for help.

Query length

GBIF has a limit of 12,000 characters for a download query. This means that you can have a pretty long query, but at some point it may lead to an error on GBIF's side and you'll have to split your query into a few.

Note

see downloads for an overview of GBIF downloads methods

References

See the API docs https://www.gbif.org/developer/occurrence#download for more info, and the predicates docs https://www.gbif.org/developer/occurrence#predicates

See Also

Other downloads: download_predicate_dsl, occ_download_cached(), occ_download_cancel(), occ_download_dataset_activity(), occ_download_datasets(), occ_download_get(), occ_download_import(), occ_download_list(), occ_download_meta(), occ_download_queue(), occ_download_wait()

Examples

## Not run: 
# occ_download(pred("basisOfRecord", "LITERATURE"))
# occ_download(pred("taxonKey", 3119195), pred_gt("elevation", 5000))
# occ_download(pred_gt("decimalLatitude", 50))
# occ_download(pred_gte("elevation", 9000))
# occ_download(pred_gte('decimalLatitude", 65))
# occ_download(pred("country", "US"))
# occ_download(pred("institutionCode", "TLMF"))
# occ_download(pred("catalogNumber", 217880))
# occ_download(pred("gbifId", 142317604)) 

# download format
# z <- occ_download(pred_gte("decimalLatitude", 75),
#  format = "SPECIES_LIST")

# res <- occ_download(pred("taxonKey", 7264332), pred("hasCoordinate", TRUE))

# pass output directly, or later, to occ_download_meta for more information
# occ_download(pred_gt('decimalLatitude', 75)) %>% occ_download_meta

# Multiple queries
# occ_download(pred_gte("decimalLatitude", 65),
#  pred_lte("decimalLatitude", -65), type="or")
# gg <- occ_download(pred("depth", 80), pred("taxonKey", 2343454),
#  type="or")
# x <- occ_download(pred_and(pred_within("POLYGON((-14 42, 9 38, -7 26, -14 42))"),
#  pred_gte("elevation", 5000)))

# complex example with many predicates
# shows example of how to do date ranges for both year and month
# res <- occ_download(
#  pred_gt("elevation", 5000),
#  pred_in("basisOfRecord", c('HUMAN_OBSERVATION','OBSERVATION','MACHINE_OBSERVATION')),
#  pred("country", "US"),
#  pred("hasCoordinate", TRUE),
#  pred("hasGeospatialIssue", FALSE),
#  pred_gte("year", 1999),
#  pred_lte("year", 2011),
#  pred_gte("month", 3),
#  pred_lte("month", 8)
# )

# Using body parameter - pass in your own complete query
## as JSON
query1 <- '{"creator":"sckott",
  "notification_address":["[e-mail]"],
  "predicate":{"type":"and","predicates":[
    {"type":"equals","key":"TAXON_KEY","value":"7264332"},
    {"type":"equals","key":"HAS_COORDINATE","value":"TRUE"}]}
 }'
# res <- occ_download(body = query1, curlopts=list(verbose=TRUE))

## as a list
library(jsonlite)
query <- list(
  creator = unbox("sckott"),
  notification_address = "[e-mail]",
  predicate = list(
    type = unbox("and"),
    predicates = list(
      list(type = unbox("equals"), key = unbox("TAXON_KEY"),
        value = unbox("7264332")),
      list(type = unbox("equals"), key = unbox("HAS_COORDINATE"),
        value = unbox("TRUE"))
    )
  )
)
# res <- occ_download(body = query, curlopts = list(verbose = TRUE))

# Prepared query
occ_download_prep(pred("basisOfRecord", "LITERATURE"))
occ_download_prep(pred("basisOfRecord", "LITERATURE"), format = "SIMPLE_CSV")
occ_download_prep(pred("basisOfRecord", "LITERATURE"), format = "SPECIES_LIST")
occ_download_prep(pred_in("taxonKey", c(2977832, 2977901, 2977966, 2977835)))
occ_download_prep(pred_within("POLYGON((-14 42, 9 38, -7 26, -14 42))"))

## a complicated example
occ_download_prep(
  pred_in("basisOfRecord", c("MACHINE_OBSERVATION", "HUMAN_OBSERVATION")),
  pred_in("taxonKey", c(2498343, 2481776, 2481890)),
  pred_in("country", c("GB", "IE")),
  pred_or(pred_lte("year", 1989), pred("year", 2000))
)

# x = occ_download(
#   pred_in("basisOfRecord", c("MACHINE_OBSERVATION", "HUMAN_OBSERVATION")),
#   pred_in("taxonKey", c(9206251, 3112648)),
#   pred_in("country", c("US", "MX")),
#   pred_and(pred_gte("year", 1989), pred_lte("year", 1991))
# )
# occ_download_meta(x)
# z <- occ_download_get(x)
# df <- occ_download_import(z)
# str(df)
# library(dplyr)
# unique(df$basisOfRecord)
# unique(df$taxonKey)
# unique(df$countryCode)
# sort(unique(df$year))

## End(Not run)

rgbif documentation built on Sept. 27, 2024, 5:07 p.m.