| Toronto_SSIM | R Documentation |
An sf polygon object containing 279 Aggregate Dissemination Areas
(ADAs) for the Toronto Census Subdivision, Ontario, Canada. It includes two
neighborhood deprivation indices and a derived commuting measure, for use
with ssim_polygon and ssim_bandwidth.
Toronto_SSIM
An sf data frame with 279 rows and the following columns:
2021 Aggregate Dissemination Area identifier.
Canadian Index of Multiple Deprivation residential instability score.
Pampalon material and social deprivation index social dimension.
Preserved derived commuting percentage. Its DA numerator is the Census count for commuting to a different CSD and CD within the province or territory of residence (characteristic 2601), divided by total DA Census population (characteristic 1), multiplied by 100, and rounded half-up to two decimals. The ADA value is the unweighted mean of all stored percentages for all intersecting DAs, including boundary-only intersections and stored zero percentages. Zero-population DAs also have stored zero percentages and are included. It is not a household or worker share, a pooled ADA population rate, or a count of all outside-CSD commuting. Some source numerator cells are suppressed in the official release but stored as zero in the preserved data; see the provenance note.
sfc polygon geometry column.
The numeric data are unchanged from version 0.4.0. Earlier documentation incorrectly described these polygons as 2016 Census Tracts. The preserved commuting variable is a derived DA-average measure, not a proportion of households. See ‘extdata/Toronto_SSIM_provenance.txt’ for its calculation and the suppressed-value limitation.
Statistics Canada, 2021 Census of Population; author-prepared neighborhood deprivation and commuting data.
data("Toronto_SSIM")
plot(Toronto_SSIM["CIMD"], border = NA)
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