How It Works
Atlas Amazon runs as a continuous workflow that turns individual contributions into comparable, basin-wide insight. Distributed knowledge, structured data, and regional datasets pass through four connected steps — contribute, structure, integrate, understand — and come out the other side as something more than the sum of their parts.
The Workflow
Contribute
People and organizations add what they know: new areas, improved metadata, and stewardship or management assessments.
This step exists because knowledge about stewardship systems is distributed and often held locally rather than centrally.
Structure
Contributions are then organized within a shared spatial system. Areas act as the foundation that links everything else, metadata is standardized across records, and each contribution is reviewed and validated.
Structuring is what makes diverse inputs comparable rather than merely collected.
Integrate
Validated data is combined with other datasets and frameworks — stewardship and management assessments (PAME, CASE), regional datasets such as land cover, infrastructure, and pressures, and crosswalks that align different methodologies.
Integration is what allows data from different sources and governance systems to be used together.
Understand
Finally, the Atlas turns that integrated data into insight through visualization and analysis. You can explore areas and governance systems, compare stewardship across landscapes, build portfolios of areas, and track change over time using indicators.
A Connected System
These steps are not a one-way pipeline; they form a cycle. New contributions improve the system, validation strengthens data quality, integration expands what can be analyzed, and use generates the questions that prompt the next round of contributions. The Atlas therefore becomes more complete, more comparable, and more useful the more it is used.
Linking Concepts
The workflow holds the core components of the Atlas together, each answering a different question about an area:
- Areas — where a system exists, and the spatial foundation for everything else
- Designation and governance — how an area is recognized and who manages it
- Assessments — how its stewardship system is documented
- Indicators — what patterns emerge across the data
Together they allow the Atlas to move from individual records to basin-wide understanding.
From Data to Insight
What the platform is really designed to bridge are three gaps: between data collection and analysis, between local knowledge and regional understanding, and between individual areas and landscape-scale patterns. Connecting those levels is what supports better-informed decisions, collaboration, and long-term monitoring across the Amazon.