The package GNRS is designed to interact with the Geographic Name Resolution Service of the Botanical Information and Ecology Network.
#Installing GNRS
#The easiest case: one political division
library(GNRS)
GNRS_super_simple(country = "United States",
state_province = "Arizona",
county_parish = "Pima County")## id poldiv_full country_verbatim
## 1 2282338 United States@Arizona@Pima County United States
## state_province_verbatim county_parish_verbatim country state_province
## 1 Arizona Pima County United States Arizona
## county_parish country_id state_province_id county_parish_id
## 1 Pima 6252001 5551752 5308878
## match_method_country match_method_state_province match_method_county_parish
## 1 exact standard name exact name exact name
## match_score_country match_score_state_province match_score_county_parish
## 1
## poldiv_submitted poldiv_matched match_status user_id
## 1 county_parish county_parish full match
## job country_iso state_province_iso
## 1 job_20200423_1145570807554_11997 US AZ
## county_parish_iso
## 1 019#Multiple political divisions
## Loading required package: RPostgreSQL## Loading required package: DBI## Type vignette("BIEN") or vignette("BIEN_tutorial") to get started## xs <- BIEN_occurrence_species(species = "Xanthium strumarium", political.boundaries = T)
#The GNRS function expects 4 columns as input, but all are optional.
#If you ever forget, you can use the function GNRS_template as a quick lookup, or to populate.
xs_query<-GNRS_template(nrow = nrow(xs))
xs_query$country <- xs$country
xs_query$state_province <- xs$state_province
xs_query$county_parish <- xs$county
xs_gnrs_results <- GNRS(xs_query)
head(xs_gnrs_results)## id poldiv_full country_verbatim
## 1 2282970 United States@New Mexico@Los Alamos United States
## 2 2282969 United States@New Mexico@Hidalgo United States
## 3 2282968 United States@New Mexico@Harding United States
## 4 2282933 United States@Missouri@Pike United States
## 5 2282688 United States@Arizona@Santa Cruz United States
## 6 2282973 United States@New Mexico@Quay United States
## state_province_verbatim county_parish_verbatim country state_province
## 1 New Mexico Los Alamos United States New Mexico
## 2 New Mexico Hidalgo United States New Mexico
## 3 New Mexico Harding United States New Mexico
## 4 Missouri Pike United States Missouri
## 5 Arizona Santa Cruz United States Arizona
## 6 New Mexico Quay United States New Mexico
## county_parish country_id state_province_id county_parish_id
## 1 Los Alamos 6252001 5481136 5476834
## 2 Hidalgo 6252001 5481136 5471293
## 3 Harding 6252001 5481136 5470675
## 4 Pike 6252001 4398678 4403228
## 5 Santa Cruz 6252001 5551752 5313135
## 6 Quay 6252001 5481136 5485605
## match_method_country match_method_state_province match_method_county_parish
## 1 exact standard name exact name exact ascii short name
## 2 exact standard name exact name exact ascii short name
## 3 exact standard name exact name exact ascii short name
## 4 exact standard name exact name exact ascii short name
## 5 exact standard name exact name exact ascii short name
## 6 exact standard name exact name exact ascii short name
## match_score_country match_score_state_province match_score_county_parish
## 1
## 2
## 3
## 4
## 5
## 6
## poldiv_submitted poldiv_matched match_status user_id
## 1 county_parish county_parish full match
## 2 county_parish county_parish full match
## 3 county_parish county_parish full match
## 4 county_parish county_parish full match
## 5 county_parish county_parish full match
## 6 county_parish county_parish full match
## job country_iso state_province_iso
## 1 job_20200423_1145036704478_18047 US NM
## 2 job_20200423_1145036704478_18047 US NM
## 3 job_20200423_1145036704478_18047 US NM
## 4 job_20200423_1145036704478_18047 US MO
## 5 job_20200423_1145036704478_18047 US AZ
## 6 job_20200423_1145036704478_18047 US NM
## county_parish_iso
## 1 028
## 2 023
## 3 021
## 4 163
## 5 023
## 6 037