Atlas · Republic of the Congo / Ask Atlas (AI)
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AI ANALYST · AVAILABLE TO EVERYONE

Ask Atlas a question in plain English

The analyst understands your question, runs a real calculation on Atlas’ own database and answers with the numbers, a chart or table, and the sources behind them. Watch how it works, then try an example.

1
You ask
2
Atlas understands
what-ifspatialareaqualitycarbon
Reads the intent and any numbers (%, km, ha).
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It computes
Querying PostGIS…
0
polygons analysed
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Answer + sources
Facts, a chart or table, and where every number came from.
The analyst never invents numbers: it only reports what it calculated.

Conversation

Answers appear here. Nothing you ask is shared outside the Atlas team.

Where would you like to start?

Pick one of the examples on the right (or below on a phone), or type your own question. You can include numbers: “what if 25% of mangroves within 10 km of LAPSSET is lost?”

241 example questions
in 21 groups. Click one to run it.

Continent-wide numbers from Global Mangrove Watch v4.1 (1996–2025)

Ask about any country by name; these use Republic of the Congo

Name two or three countries and ask for a comparison

Seven map years plus official yearly totals back to 1985

Illustrative ranges: you can overwrite the carbon assumptions in the Scenario Lab

What protection and restoration could achieve (illustrative; edit the carbon assumptions in the Scenario Lab)

What more loss would mean in hectares and carbon (not forecasts)

Four futures side by side: worst past period repeats, trend, loss stops, best past period repeats

Pre-computed from the WWF layers (currently Kenya): how close mangrove lies to what people build and protect

Ask what exists, who published it and how big it is (themes follow the Browse-by-theme page)

UNEP-WCMC seagrass and salt-marsh records across Africa (view-only), and how far to trust them

Registry data for carbon-credit projects across Africa, the organisations behind them and who they work with

Detailed local layers exist for Kenya's Lamu seascape

Statistics that go beyond totals

How good the numbers are, honestly

Where everything comes from

Plain-language explanations from the Knowledge Base

Help and how-to

Explanations of mangroves, carbon, places and threats

Methods: exactly how numbers are produced

Step-by-step help for every page and every kind of user
How honest is it?
Every answer is labelled Computed or Illustrative assumption. Scenarios use editable carbon assumptions and are not forecasts. If Atlas does not hold the data, it says so and points to where it will come from. You can name any country, and ask about years, rankings, comparisons and carbon.
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