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Search of Persons (ASR-SP-TBL-001)

Source: R/datasets_tps_arcgis_hub_wrappers.R
morie_datasets_tps_search_of_persons.Rd

Toronto PS ArcGIS Hub dataset wrapper. Thin dispatch to morie_datasets_tps_arcgis_hub_by_id() with the canonical hub item_id 8ee1697ce6af44a78640686a1feeeefb.

Usage

morie_datasets_tps_search_of_persons(
  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 WHERE filter passed to FeatureServer ?where= (default "1=1").

max_features

Optional cap on returned rows. Passed as resultRecordCount to 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). Default TRUE – 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 to tempfile().

Value

A data.frame / GeoJSON list / file path; see morie_datasets_tps_arcgis_hub_by_id() for per-format semantics.

Details

This dataset includes all Level 3 and Level 4 searches that were conducted.

Tags: ASR; TPS; Toronto Police; Annual Statistical Report; Search of Person

Examples

# \donttest{
df <- try(morie_datasets_tps_search_of_persons(max_features = 5L))
if (!inherits(df, "try-error")) head(df)
#>   INDEX_ SEARCH_YEAR SEARCH_LEVEL SELF_IDENTIFY_TRANS EVIDENCE ESCAPE_ INJURY
#> 1      1        2014 Strip Search                  No       No      No     No
#> 2      2        2014 Strip Search                  No       No      No     No
#> 3      3        2014 Strip Search                  No       No      No    Yes
#> 4      4        2014 Strip Search                  No       No      No    Yes
#> 5      5        2014 Strip Search                  No       No     Yes     No
#>   OTHER ITEMS_FOUND COUNT_ ObjectId
#> 1    No          No  11721        1
#> 2   Yes         Yes   2461        2
#> 3    No         Yes   2851        3
#> 4   Yes         Yes   1286        4
#> 5    No         Yes    125        5
# }