Nothing
If you want to query all taxa, you can use spp_taxonconcept()
with
query_taxon = ""
(assuming your token is already set up):
res_cms <- spp_taxonconcept("", taxonomy = "CMS") #slow
#> ℹ Retrieving info from page 1 ........................ ✔ #> ℹ 10 pages available, retrieving info from 9 more #> ℹ Retrieving info from page 2 ........................ ✔ #> ℹ Retrieving info from page 3 ........................ ✔ #> ℹ Retrieving info from page 4 ........................ ✔ #> ℹ Retrieving info from page 5 ........................ ✔ #> ℹ Retrieving info from page 6 ........................ ✔ #> ℹ Retrieving info from page 7 ........................ ✔ #> ℹ Retrieving info from page 8 ........................ ✔ #> ℹ Retrieving info from page 9 ........................ ✔ #> ℹ Retrieving info from page 10 ....................... ✔
dim(res_cms$general)
#> [1] 2541 7
Alternatively, you can retrieve, for example, the first three pages of results returned by the API.
res_cites <- spp_taxonconcept("", page = 1:2)
#> ℹ Retrieving info from page 1 ........................ ✔ #> ℹ 167 pages available, retrieving info from 1 more #> ℹ Retrieving info from page 2 ........................ ✔
dim(res_cites$general)
#> [1] 1000 8
All spp_
functions (i.e. spp_distributions()
, spp_eu_legislation()
,
spp_cites_legislation()
and spp_references()
) can handle a vector of
taxon_id which allows bulk analysis.
Below we exemplify this feature for the four functions.
vc_txn <- c('4521', '3210', '10255') res1 <- spp_distributions(taxon_id = vc_txn, verbose = FALSE) ## Number of countries concerned per taxon ID table(res1$distributions$taxon_id)
#> #> 10255 3210 4521 #> 15 8 42
res2 <- spp_cites_legislation(taxon_id = vc_txn, verbose = FALSE) res2$cites_listings
#> # A tibble: 12 × 7 #> taxon_id id taxon_concept_id is_current appendix change_type effective_at #> <chr> <chr> <chr> <lgl> <chr> <chr> <chr> #> 1 4521 30344 4521 TRUE I + 2017-01-02 #> 2 4521 30115 4521 TRUE II + 2019-11-26 #> 3 4521 32160 4521 TRUE II R+ 2019-11-26 #> 4 4521 32161 4521 TRUE II R+ 2019-11-26 #> 5 4521 32156 4521 TRUE II R+ 2019-11-26 #> 6 4521 32158 4521 TRUE II R+ 2019-11-26 #> 7 4521 32154 4521 TRUE II R+ 2019-11-26 #> 8 4521 32159 4521 TRUE II R+ 2019-11-26 #> 9 4521 32157 4521 TRUE II R+ 2019-11-26 #> 10 4521 32155 4521 TRUE II R+ 2019-11-26 #> 11 3210 4661 3210 TRUE II + 1987-10-22 #> 12 10255 4645 10255 TRUE I + 2005-01-12
res3 <- spp_eu_legislation(taxon_id = vc_txn, verbose = FALSE) res3$eu_listings
#> # A tibble: 4 × 7 #> taxon_id id taxon_concept_id is_current annex change_type effective_at #> <chr> <chr> <chr> <lgl> <chr> <chr> <chr> #> 1 4521 31788 4521 TRUE A + 2019-12-14 #> 2 4521 31876 4521 TRUE B + 2019-12-14 #> 3 3210 30578 3210 TRUE B + 2019-12-14 #> 4 10255 30516 10255 TRUE A + 2019-12-14
res4 <- spp_references(taxon_id = vc_txn, verbose = FALSE) ## Number of references per taxon ID table(res4$references$taxon_id)
#> #> 10255 3210 4521 #> 1 3 15
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