## code to prepare `md_esri_index` dataset goes here
library(dplyr)
md_arcgis_index <-
googlesheets4::read_sheet(
ss = "https://docs.google.com/spreadsheets/d/1c829bZdNqvbpoizulBU_XE5jVeNNck2kHkS-smpQ52s/edit?usp=sharing",
sheet = "services"
)
usethis::use_data(md_arcgis_index, overwrite = TRUE)
md_imap_index <- esri2sf::esriIndex(
url = "https://geodata.md.gov/imap/rest/services",
recurse = TRUE
)
md_imap_index <-
dplyr::arrange(md_imap_index, url) %>%
dplyr::distinct(url, .keep_all = TRUE) %>%
dplyr::mutate(
nm = dplyr::case_when(
(serviceType == "FeatureServer") & !is.na(geometryType) ~ janitor::make_clean_names(name),
(serviceType == "MapServer") & !is.na(geometryType) ~ janitor::make_clean_names(glue::glue("{name} map")),
!is.na(geometryType) ~ janitor::make_clean_names(glue::glue("{name} {serviceType}")),
urlType == "service" ~ janitor::make_clean_names(glue::glue("{name} {type}")),
TRUE ~ janitor::make_clean_names(glue::glue("{name} {urlType}"))
),
nm = stringr::str_remove(nm, "_2$"),
.after = "name"
)
usethis::use_data(md_imap_index, overwrite = TRUE)
md_arcgis_index_definitions <-
googlesheets4::read_sheet(
ss = "https://docs.google.com/spreadsheets/d/1c829bZdNqvbpoizulBU_XE5jVeNNck2kHkS-smpQ52s/edit?usp=sharing",
sheet = "definitions"
) %>%
dplyr::filter(
sheet == "services",
variable != "services_url_linked"
) %>%
dplyr::select(-sheet)
md_arcgis_index_definitions %>%
dplyr::mutate(
variable = variable,
definition = label
) %>%
sinew::tabular()
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