aaag-research-design
Use when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and physical-environmental methods, qualitative human-geography inference, or nature-society mixed methods. The Annals judges each tradition on its own terms. Strengthens the design; it does not write code.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaag-research-design --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.
# Research Design (aaag-research-design) The Annals spans four areas and accepts many methodologies, but is demanding about each. The design must credibly connect the geographic argument (`aaag-theory-building`) to the evidence, and must take **space and scale seriously** — spatial dependence, the MAUP, projection, and sampling are design issues, not afterthoughts. This skill is mode-aware: pick the section that matches your work. ## When to trigger - Specifying identification, sampling, case selection, or measurement - A reviewer questioned spatial autocorrelation, scale/MAUP, edge effects, validation, or a confound - Justifying why the design adjudicates the rival account from `aaag-literature-positioning` ## Spatial / quantitative analysis & GIScience - **Take space seriously.** Test and model **spatial dependence** (Moran's I, spatial lag/error, GWR/MGWR where heterogeneity is the point); state how the **MAUP / scale** could change conclusions. - **Geography of the data.** Document projection/CRS, areal units, edge effects, and the support of measurements; spatial sampling and its biases. - **Inference.** Cluster or use spatial SEs at the right level; for spatial autocorrelatio
- When to trigger
- Spatial / quantitative analysis & GIScience
- Remote sensing / physical-environmental
- Qualitative / human-geography
- Nature-society / mixed methods
- The adjudication test (Annals-specific)
- Referee pushback → Annals-specific fix
- Calibration anchors
- Anti-patterns
- Output format
- Supplementary resources
What does the aaag-research-design skill do?
Use when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and physical-environmental methods, qualitative human-geography inference, or nature-society mixed methods. The Annals judges each tradition on its own terms. Strengthens the design; it does not write code.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaag-research-design --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.