Download a resource from the portal directly into your R session. CSV, XLS, XLSX, XML, JSON, SHP, ZIP, and GeoJSON resources are supported.
Arguments
- resource
A way to identify the resource. Either a resource ID (passed as a character vector directly) or a single resource resulting from
list_package_resources.
Value
In most cases, the resource is returned as a tibble or list of tibbles. If it is a spatial resource (i.e. SHP or GeoJSON), it is returned as an sf object.
Examples
# \donttest{
list_package_resources("https://open.toronto.ca/dataset/neighbourhoods/") %>%
head(1) %>%
get_resource()
#> Simple feature collection with 158 features and 11 fields
#> Geometry type: POLYGON
#> Dimension: XY
#> Bounding box: xmin: -79.63926 ymin: 43.581 xmax: -79.11527 ymax: 43.85546
#> Geodetic CRS: WGS 84
#> # A tibble: 158 × 12
#> `_id` AREA_ID AREA_ATTR_ID PARENT_AREA_ID AREA_SHORT_CODE AREA_LONG_CODE
#> <int> <int> <int> <lgl> <chr> <chr>
#> 1 1 2502366 26022881 NA 174 174
#> 2 2 2502365 26022880 NA 173 173
#> 3 3 2502364 26022879 NA 172 172
#> 4 4 2502363 26022878 NA 171 171
#> 5 5 2502362 26022877 NA 170 170
#> 6 6 2502361 26022876 NA 169 169
#> 7 7 2502360 26022875 NA 156 156
#> 8 8 2502359 26022874 NA 155 155
#> 9 9 2502358 26022873 NA 154 154
#> 10 10 2502357 26022872 NA 153 153
#> # ℹ 148 more rows
#> # ℹ 6 more variables: AREA_NAME <chr>, AREA_DESC <chr>, CLASSIFICATION <chr>,
#> # CLASSIFICATION_CODE <chr>, OBJECTID <int>, geometry <POLYGON [°]>
# }