aaag-data-analysis
Use when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or qualitative coding and interpretation. Sets analysis and reporting norms across the four areas; it does not choose the design.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaag-data-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Data Analysis (aaag-data-analysis) The Annals expects analyses that are **spatially honest** and reported with uncertainty, whatever the area. The standard is that a competent reader in the area could follow the logic from data to claim and see that the geography of the data was respected, not flattened. ## When to trigger - Estimating models, running spatial statistics, classifying imagery, or coding qualitative material - A reviewer questioned uncertainty, robustness, spatial autocorrelation, accuracy, or interpretation - Preparing the results section and deciding what to report ## Spatial / quantitative - **Diagnose space first.** Report spatial autocorrelation in residuals; if present, move to a spatial model (lag/error, GWR/MGWR, spatial regimes) and say why. - **Uncertainty everywhere.** CIs/SEs (spatially robust where needed), not stars alone; for prediction, out-of-sample error from **spatial/blocked CV**. - **Robustness.** Re-estimate across plausible **areal units and bandwidths** (MAUP/scale sensitivity); show the result is not a unit artifact. Report effect sizes in interpretable units. ## Remote sensing / physical - **Accuracy with an independent sample.** Confusion
- When to trigger
- Spatial / quantitative
- Remote sensing / physical
- Qualitative / interpretive
- Mixed methods
- Cross-cutting reporting bar
- Referee pushback → Annals-specific fix
- Calibration anchors
- Checklist
- Anti-patterns
- Output format
- Supplementary resources
What does the aaag-data-analysis skill do?
Use when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or qualitative coding and interpretation. Sets analysis and reporting norms across the four areas; it does not choose the design.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaag-data-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.