DMAP AI
Drought analysis
- Category
- Data & Analytics
- Primary Subcategory
- Geospatial & Spatial Analytics Data
Integration details
Description
DMAP AI helps users analyze drought conditions for a selected location and time period. It returns SPI tables, drought severity events, wavelet scalogram summaries, and drought periodicity diagnostics using NASA POWER or ERA5 data. Copula and paid workflows are not included in this ChatGPT version.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Primary Subcategory
- Geospatial & Spatial Analytics Data
- Secondary Subcategories
- None listed
- Brand
- DMAP-AI
- Access
- No account required
- First tracked
- 2026-06-04
- Tool count
- 5
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
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What discovery looks like

Competing in ChatGPT Geospatial & Spatial Analytics Data
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The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are DMAP AI alternatives on ChatGPT?
As of 2026-09-28, DMAP AI competes with Alloy, BigGeo AI, emem, Farmbit, GIS Cloud, Mapbox, Parcelle Cadastre, Property Hazard MCP, SkyWatch, Technis in ChatGPT Geospatial & Spatial Analytics Data, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.