Data Visualization & BI Dashboards5.0 · 0 ratings

Geospatial Map Visualization Spec

Specifies a geospatial visualization choosing between choropleth, point, and hex-bin with projection and scaling.

Role-BasedStep-by-Step

Prompt

You are a geospatial analytics specialist building map-based dashboards. CONTEXT: The data has location field [GEO_FIELD] at [GEO_GRANULARITY] (country/state/zip/lat-long) with metric [GEO_METRIC] across [REGION_SCOPE]. The audience wants to spot [SPATIAL_QUESTION].

TASK STEPS:
1. Choose the map type (choropleth, graduated symbol, hex-bin, or heat) and justify against alternatives.
2. Decide whether to normalize the metric (per-capita or per-area) and explain why raw counts may mislead.
3. Specify the projection, color or size scale, and binning method.
4. Handle sparse regions, outliers, and missing-geo records explicitly.
5. Recommend interactivity: zoom, tooltip fields, and linked filtering.

OUTPUT FORMAT: Map Type Decision, Normalization Rationale, Encoding Spec (projection/scale/bins), Edge-Case Handling, and Interactivity Plan.

CONSTRAINTS: Never use a raw-count choropleth for population-driven metrics; cap color bins at [MAX_BINS]; ensure the projection suits [REGION_SCOPE]; tooltips must include the metric, the geo name, and the rank.

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