Streets-Data-Collaborative / BostonSidewalks

Profiling the sidewalks of Boston
GNU General Public License v3.0
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Updates #3

Open aseemdeodhar opened 4 years ago

aseemdeodhar commented 4 years ago

Spatially joined the sidewalks data with the vectorized LandScan data. The histograms show a high right skew for both data. Next steps are developing a relationship map with these two variables: mean sidewalk width, and daytime population density.

update_20200708

aseemdeodhar commented 4 years ago

By overlaying the previous two maps with a suitable color-scheme, I created this relationship map to understand how the sidewalk width in an area relates to the daytime population. As we are comparing these two features, we can ascertain that there may be four extreme scenarios:

RELATIONSHIP_MAP

vr00n commented 4 years ago

@aseemdeodhar this is fantastic. Can you share a shapefile of the relationship map?

aseemdeodhar commented 4 years ago

Crosswalk Files

I now have stress index data for day (boston_day_stress.zip) and night(boston_night_stress.zip) as sourced from the LandScan raster population database. By creating a crosswalk file, I was able to create insights for several administrative land partitions:

Data Source Boston Area Research Initiative, 2018, "Administrative Geographies for the City of Boston", https://doi.org/10.7910/DVN/JZV6ON, Harvard Dataverse, V1

Spatially Constrained Multivariate Clustering

The next step is to generate spatially constrained multivariate clusters for both day and night indices. Taking into account our indices, and other relevant variables, which areas of the city are most distinct in their clustering? In addition to the stress index (developed based on day/night population + sidewalk width), what variables would be suitable in this multivariate clustering analysis?

Day Stress Index:

Night Stress Index

vr00n commented 4 years ago

@aseemdeodhar Could you please update the README with the definition of the Stress Index?