Topic Selection & Area Fit (aaag-topic-selection)
SkillMediaUse when deciding whether a topic fits the Annals of the American Association of Geographers and which of its four areas to target. Tests geographic significance and area fit; it does not design the study or write the paper.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Topic Selection & Area Fit (aaag-topic-selection) skill
What this skill tells your AI
The instructions your AI receives, as published by brycewang-stanford/awesome-journal-skills in Annals-of-the-American-Association-of-Geographers-Skills/skills/aaag-topic-selection/SKILL.md and read by ahel’s review.
The Annals is the AAG's broad four-area flagship. A topic earns a place by being geographic — space, place, scale, region, or spatial process is constitutive of the question — and by speaking to one of the journal's areas with enough reach that geographers outside that subfield see why it matters.
When to trigger
- Choosing a project, or deciding if a draft fits the Annals vs. a specialty venue
- A reviewer or colleague said "this isn't really geography" or "this is too narrow"
- Unsure whether to declare Geographic Methods, Human, Nature-Society, Physical, or General Geography
The two-part fit test
- Geographic-ness. Could you delete every spatial/place/scale element and keep the argument? If yes, it is not yet a geography paper — the geography must do theoretical work, not just locate data.
- Area reach. Within the declared area, would a geographer in a neighboring subfield see the stake? An over-narrow result that only its sub-sub-field cares about is an Annals off-fit.
Declare the area (it routes the paper and sets the bar)
| Area | Core of a strong topic | Off-fit signal |
|---|---|---|
| Geographic Methods | a method/model that improves geographic inference (spatial dependence, scale, MAUP, uncertainty) | a generic ML/stats trick with a coordinate column bolted on |
| Human Geography | a spatially/relationally theorized account of social process | a sociology/anthropology paper with a study-area map |
| Nature and Society | a coupled human-environment dynamic where both sides are theorized | one side asserted as backdrop to the other |
| Physical Geography, Earth & Environmental | an earth-surface/environmental process with geographic framing and earth-science rigor | a lab/RS result with no geographic question |
| General Geography | a contribution that reorders how all geographers see something | a paper that just won't pick an area |
Calibrating ambition (Annals vs. specialty venue)
- Specialty venue (e.g., IJGIS, Geomorphology, Environment and Planning D) when the audience is the sub-field and the advance is incremental within it.
- The Annals when the contribution is legible to the area broadly and connects to geographic theory or to a cross-cutting concern (scale, place, environment-society, spatial method).
- The cross-disciplinary/General track when the contribution genuinely spans areas.
Sibling-journal guard (do not mis-pitch)
- Progress in Human Geography — review/agenda essays, not original empirical studies.
- Geographical Analysis — formal spatial-analytic methods; the Annals Methods area is broader and more applied.
- Transactions of the IBG / The Professional Geographer — overlapping scope; the Annals is the AAG's broad flagship with the four-area structure.
Worked micro-example (illustrative)
A draft asks "what predicts urban tree-canopy loss in City X?" and maps the result by census tract.
Delete-test: remove the map and "tract" → "what predicts canopy loss?" survives → geography decorative
Repair: reframe around SCALE — does the predictor of loss change with the unit/scale of analysis, and
what does that imply for where canopy is added? Now space is the argument, not the backdrop.
Area: Nature and Society (canopy = environment-society) or Methods (if the scale claim leads)
Reach: a methods reader gets a MAUP/scale lesson; a nature-society reader gets an equity mechanism
The repaired version makes the geography load-bearing and gives a neighboring subfield a reason to read.
Checklist
- The geography is load-bearing (delete-test passes)
- One area declared, with a one-line reason it belongs there
- A neighboring-subfield geographer can state the stake in a sentence
- Right venue confirmed (Annals vs. a specialty journal)
- Article type chosen (Article / Forum / Commentary) — see
aaag-workflow
Anti-patterns
- "Spatial decoration" — coordinates or a study-area map standing in for a geographic argument
- Pitching a specialty-venue increment to the broad flagship
- Refusing to pick an area (the paper lands with the wrong editor and reviewers)
- A Nature-Society topic that theorizes only the social or only the biophysical side
Output format
【Area】Methods / Human / Nature-Society / Physical / General
【Geographic core】the space/place/scale/process the argument turns on
【Reach】why a neighboring-subfield geographer cares
【Venue check】Annals vs. specialty (one line)
【Type】Article / Forum / Commentary
【Next】aaag-literature-positioning
Supplementary resources
../../resources/exemplars/library.md— real Annals papers by area × method to calibrate fit../../resources/official-source-map.md— areas, scope, and article types
Signals
- GitHub stars
- 1k
- Forks
- 155
- Last commit
- Sep 2026
Advanced
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aaag-topic-selection- Source
- github.com/brycewang-stanford/awesome-journal-skills
github.com/brycewang-stanford/awesome-journal-skills