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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$general)#> [1] 2541 7Alternatively, you can retrieve, for example, the first three pages of results returned by the API.
res_cites <- spp_taxonconcept("", page = 1:2)#> ℹ Retrieving info from page 1 ........................ ✔
#> ℹ 167 pages available, retrieving info from 1 more
#> ℹ Retrieving info from page 2 ........................ ✔dim(res_cites$general)#> [1] 1000 8All 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 42res2 <- spp_cites_legislation(taxon_id = vc_txn, verbose = FALSE)
res2$cites_listings#> # A tibble: 12 × 7
#> taxon_id id taxon_concept_id is_current appendix change_type effective_at
#> <chr> <chr> <chr> <lgl> <chr> <chr> <chr>
#> 1 4521 30344 4521 TRUE I + 2017-01-02
#> 2 4521 30115 4521 TRUE II + 2019-11-26
#> 3 4521 32160 4521 TRUE II R+ 2019-11-26
#> 4 4521 32161 4521 TRUE II R+ 2019-11-26
#> 5 4521 32156 4521 TRUE II R+ 2019-11-26
#> 6 4521 32158 4521 TRUE II R+ 2019-11-26
#> 7 4521 32154 4521 TRUE II R+ 2019-11-26
#> 8 4521 32159 4521 TRUE II R+ 2019-11-26
#> 9 4521 32157 4521 TRUE II R+ 2019-11-26
#> 10 4521 32155 4521 TRUE II R+ 2019-11-26
#> 11 3210 4661 3210 TRUE II + 1987-10-22
#> 12 10255 4645 10255 TRUE I + 2005-01-12res3 <- spp_eu_legislation(taxon_id = vc_txn, verbose = FALSE)
res3$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 + 2019-12-14res4 <- spp_references(taxon_id = vc_txn, verbose = FALSE)
## Number of references per taxon ID
table(res4$references$taxon_id)#>
#> 10255 3210 4521
#> 1 3 15These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.