Methodology
Pipeline + Metrics
A documented pipeline that turns fragmented urban ecology data into a consistent, research-ready dataset.
Pipeline
A repeatable workflow designed for transparency, repeatability, and metric integrity.
Ingest
Source intake
Normalize
Schema + QA
Enrich
Metrics
Validate
Checks
Publish
Map + API
Step 1
Ingest
Collect municipal inventories and open datasets, preserving provenance and update timestamps.
Step 2
Normalize
Standardize schemas, geocode records, and resolve duplicates across sources.
Step 3
Enrich
Attach canopy metrics, biodiversity indices, and neighborhood metadata.
Step 4
Validate
Run QA checks for missing species, coordinate drift, and anomalous counts.
Step 5
Publish
Serve map layers, metrics, and documentation for research and planning use.
Data Sources
Core datasets that feed the Montreal Urban Forest Map.
Metrics
Key indicators used to evaluate canopy health and biodiversity.
Metric visuals
Percent cover by neighborhood
Unique species count
Shannon + Simpson
Coverage vs population
Values shown are illustrative placeholders.
Canopy density
% cover by neighborhood
Species richness
Unique species count
Diversity index
Shannon + Simpson
Equity score
Coverage vs population