Toronto PS ArcGIS Hub dataset wrapper. Thin dispatch to
morie_datasets_tps_arcgis_hub_by_id() with the canonical
hub item_id 78361ed81cca40aebd1032a26ef52e5b.
Usage
morie_datasets_tps_2011_firs(
format = "json",
where = "1=1",
max_features = NULL,
layer_idx = 0L,
offline = TRUE,
dest = NULL
)Arguments
- format
One of
"json"(default),"geojson","csv","shapefile","fgdb".- where
SoQL-style
WHEREfilter passed to FeatureServer?where=(default"1=1").- max_features
Optional cap on returned rows. Passed as
resultRecordCountto FeatureServer; ignored for binary formats.- layer_idx
Integer index of the FeatureServer layer to pull (default
0L, the first layer).- offline
Logical; if
TRUE, the hub_id is resolved via the included catalog (no network needed for the resolution step). DefaultTRUE– you can run this against the 71 catalog entries without network. Live data fetches always hit the network regardless of this argument; "offline" here only affects the hub_id -> FeatureServer URL lookup.- dest
Optional path for binary downloads (
format %in% c("shapefile", "fgdb")); defaults totempfile().
Value
A data.frame / GeoJSON list / file path; see
morie_datasets_tps_arcgis_hub_by_id() for per-format semantics.
Examples
# \donttest{
df <- try(morie_datasets_tps_2011_firs(max_features = 5L))
if (!inherits(df, "try-error")) head(df)
#> CONTACTID TPS_PATROL_ZONE NATURE_OF_CONTACT CONTACT_DATE CONTACT_TIME
#> 1 807313 552 EDP Related 2011.01.01 06:45:00
#> 2 807316 424 Traffic Stop 2011.01.01 09:53:00
#> 3 807318 542 Vehicle Related 2011.01.01 10:28:00
#> 4 807318 542 Vehicle Related 2011.01.01 10:28:00
#> 5 807318 542 Vehicle Related 2011.01.01 10:28:00
#> CONTACT_YEAR AGE SEX BIRTH_PLACE SKIN_COLOUR YEAR_MONTH_OF_BIRTH
#> 1 2011 20 Male <NA> White 1990 JUL
#> 2 2011 38 Male China Other 1972 APR
#> 3 2011 22 Male <NA> Black 1988 AUG
#> 4 2011 22 Male <NA> Black 1988 DEC
#> 5 2011 21 Male <NA> <NA> 1989 JUN
#> UNIQUE_PERSON_ID HOME_CITY HOME_PATROL_ZONE FID
#> 1 3911857 WINNIPEG NA 1
#> 2 3911860 STOUFFVILLE NA 2
#> 3 147714 <NA> NA 3
#> 4 378170 <NA> NA 4
#> 5 3911864 <NA> NA 5
# }
