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Toronto Zoning per Neighbourhood (EsriCanadaEducation)

Source: R/datasets_tps_arcgis_hub.R
morie_datasets_toronto_zoning_per_neighbourhood.Rd

Wraps EsriCanadaEducation's ArcGIS Online Feature Service ZonesofToronto_Neighbourhoods (item id af06159170914808983959df6163fc86; FeatureServer at services.arcgis.com/As5CFN3ThbQpy8Ph/.../ZonesofToronto_Neighbourhoods/FeatureServer). Two layers in the service:

Usage

morie_datasets_toronto_zoning_per_neighbourhood(
  layer = c("neighbourhoods", "zoning_stats"),
  format = "json",
  where = "1=1",
  max_features = NULL,
  offline = TRUE
)

Arguments

layer

One of "neighbourhoods" (default, polygon demographics) or "zoning_stats" (per-zone area table).

format

One of "json" (default), "geojson", "csv", "shapefile", "fgdb". Only honoured when offline = FALSE.

where

Optional FeatureServer WHERE filter (live mode).

max_features

Optional row cap.

offline

Logical; if TRUE (default), read the bundled synthetic fixture.

Value

A data.frame (json / csv / offline), parsed GeoJSON list, or file path (binary).

Details

layer = "neighbourhoods" (FeatureServer layer 0)

Polygon boundaries for Toronto neighbourhoods with a 39-column demographic schema – total population, sex split, 18 age brackets (0-4 through 85+), senior + youth + child aggregates, and 10 specific language counts (Chinese, Italian, Korean, Persian, Portuguese, Russian, Spanish, Tagalog, Tamil, Urdu) plus a HomeLanguageCategory total.

layer = "zoning_stats" (FeatureServer table 1)

Per- neighbourhood zoning-area stats – 4 columns (OBJECTID, ZoneDesc, Neighbourhood_Name, SUM_Area). Many rows per neighbourhood, one per ZoneDesc (Commercial, Residential, Industrial, etc.).

Offline mode reads bundled 5-row synthetic fixtures (toronto_zoning_neighbourhoods_sample.csv / toronto_zoning_stats_sample.csv) – SYNTH-stamped, not attributable to actual Toronto neighbourhoods. Live mode hits the FeatureServer via the 3SS+ generic morie_datasets_arcgis_item_by_id() resolver.

References

Esri Canada Education – ArcGIS Online item af06159170914808983959df6163fc86.

Examples

df <- morie_datasets_toronto_zoning_per_neighbourhood(offline = TRUE)
head(df[, c("Neighbourhood", "Total_Population", "Seniors65andover")])
#>               Neighbourhood Total_Population Seniors65andover
#> 1   SYNTH Neighbourhood One            12000             2560
#> 2   SYNTH Neighbourhood Two             5500             1100
#> 3 SYNTH Neighbourhood Three            18500             3990
#> 4  SYNTH Neighbourhood Four             8200             1760
#> 5  SYNTH Neighbourhood Five             3200              670