Environmental Equity Playground Mapper
Identify Washington, DC playgrounds and parks where low tree canopy, heat sensitivity, and income vulnerability overlap.
A Geospatial Solutions demo showing how public geospatial data can guide targeted cooling, tree planting, and community investment.
Who this helps
Cities, parks agencies, nonprofits, planners, public health teams
Decision supported
Where to prioritize shade, cooling, canopy, and grant investment
Sample output
Ranked candidate map, ward summary, evidence table, and GeoJSON
Current dataset
Loading
DPR park and recreation areas matching PLYGRD = 1 and PARK or REC CENTER GROUNDS.
Priority zones
0
Context geography
8 wards
Map layer
Priority Score
Decision question: which playgrounds and park grounds should be reviewed first for shade, cooling, tree canopy, and community investment?
Legend
Equity relationship
Income vs. Tree Canopy
No chartable records
The current filters remove all records with both median household income and tree canopy values.
Ward grouping
High-Priority Playgrounds by Ward
No ward records
The current filters do not leave any playground areas to summarize by ward.
Ward canopy intelligence
Tree canopy coverage at playgrounds, aggregated by ward
This view aggregates only the filtered playground-relevant park areas, then compares each ward by average canopy, low-canopy concentration, heat overlap, and high-priority burden.
Filtered DC playground average
Data unavailable
Low-canopy threshold is set at 30% for screening and targeting.
No canopy inferences available
The current filters do not leave enough ward-level canopy records to summarize.
Average canopy plus priority burden
Ward canopy coverage vs. high-priority playground count
No ward canopy records
The current filters do not leave any playground areas with ward context.
Shade deficit concentration
Share of playground areas below canopy threshold
No deficit records
The current filters do not leave any canopy values to evaluate against the threshold.
Ward sample-size audit
Counts behind the ward-level chart
Ward 4 currently has n=9 analyzed records; Ward 6 is the small-sample ward at n=4.
Data scientist interpretation
The strongest candidates are not simply the lowest-canopy playgrounds. They are wards where low canopy repeats across multiple playground areas and overlaps with higher heat sensitivity or existing high-priority scores. That pattern helps separate one-off site conditions from ward-level investment opportunities.
Turn this public demo into a city-specific investment review.
Geospatial Solutions can adapt this workflow to local park inventories, capital planning priorities, field inspection notes, grant geographies, and agency review requirements.
Scope a pilot mapRanked investment list
A prioritized table of playground and park areas with score drivers, ward context, and review notes.
Decision map
A hosted Mapbox dashboard with filters, popups, ward summaries, and layer toggles for stakeholder review.
Evidence packet
Clean source notes, methodology, known limitations, and export-ready GeoJSON for agency or grant workflows.
Planning next steps
A shortlist for site inspection, community engagement, shade structure review, and tree-planting feasibility.
Methodology
Screening-grade environmental equity overlay
This demo combines public parks, Census ACS income data, tree canopy information, and DC heat sensitivity indicators to identify locations where environmental investment may have the greatest community benefit.
Data sources
DC Parks and Recreation Areas, DC Heat Sensitivity-Exposure Index, DC 2020 Urban Tree Canopy, US Census ACS 5-year median household income, and DC Ward boundaries.
Scoring method
Priority score weights income vulnerability at 35%, canopy deficit at 35%, and heat sensitivity at 30% after each indicator is normalized to a 0-100 scale.
Limitations
This analysis identifies spatial overlap between environmental exposure indicators and income vulnerability. It does not determine health outcomes or replace community engagement, site inspection, or agency planning review.
Potential uses
Parks capital planning, shade infrastructure targeting, tree-planting prioritization, public health grants, environmental justice review, and nonprofit investment planning.