Generalization Flashcards
(14 cards)
What is generalization in cartography?
Simplifying map features while maintaining accuracy and aesthetics.
Why generalize maps?
Due to scale changes, audience needs, or technical limits.
Key generalization methods?
Aggregation, amalgamation, collapse, exaggeration, displacement.
What is aggregation?
Merging point clusters into areal units (e.g., buildings → blocks).
How does Delaunay triangulation help?
Identifies point clusters by measuring edge distances/density.
What is amalgamation?
Fusing nearby polygons (e.g., small islands or census tracts).
Common line simplification algorithms?
Douglas-Peucker, Visvalingam-Whyatt, BEND_SIMPLIFY.
Douglas-Peucker vs. Visvalingam-Whyatt?
DP removes points globally; VW removes least important points (triangle area).
What is the “dissolve” tool?
Merges features by attributes (e.g., sales regions by salesperson).
Raster generalization techniques?
Aggregate (reduce resolution), boundary clean, majority filter, shrink.
How to aggregate city blocks?
Combine nearby areas, avoid crossing streets (use constraints).
Why enrich databases for generalization?
Flag key features, rank importance, and store rules for automation.
What ensures good map aesthetics?
Harmony, clarity, balanced composition, and simplified shapes.
Creativity’s role in mapping?
Seeing patterns, making connections, and challenging assumptions.
