DMAP-AI video tutorial

Point-based SPI drought analysis in DMAP-AI

Watch how to use the DMAP-AI Research Version to run a point-based Standardized Precipitation Index analysis, review SPI tables and charts, request AI interpretation, export selected outputs, and save the project so it can be loaded again later without rerunning the analysis.

What this tutorial covers

This video is designed for first-time users who want a complete start-to-finish DMAP-AI workflow.

Setup

Location, data, and dates

The tutorial shows how to select a point location, choose the SPI drought index, select NASA POWER as the data source, and define the analysis and baseline periods.

Results

Tables, charts, and diagnostics

After running the analysis, the video explains the Table, Charts, Severity, Wavelet, Copula, Interpretation, JSON, and Export tabs.

Project workflow

Export and save

The final section shows how users can export selected charts or data and save the project so the results can be opened later from the dashboard.

Video chapters

Use these chapter points to jump to the part of the workflow you need.

  1. Introduction to the DMAP-AI point-based SPI drought analysis workflow.
  2. SPI Table tab: yearly SPI values, precipitation window sums, and drought categories.
  3. Charts tab: SPI line chart, changing chart bounds, precipitation anomaly chart, and SPI boxplot.
  4. Severity tab: drought threshold, severity chart, and drought-event table.
  5. Wavelet tab: three useful charts for time-varying SPI variability and dominant periodic behavior.
  6. Copula tab: dependence patterns such as SPI versus lagged SPI.
  7. Interpretation tab: select a chart and request an AI explanation. Free users can request interpretation up to three times per day.
  8. JSON tab: view and copy the analysis result in structured JSON format.
  9. Export section: choose which charts or data to download.
  10. Save the project and run name so results can be loaded again later without rerunning the analysis.

Recommended next steps

After watching the video, use these pages to continue learning or to run your own analysis.

Citation note: If you use DMAP-AI in research, reports, presentations, or publications, please cite and acknowledge the DMAP-AI application.