A time-tested series of comparisons that help us think about the choices we make for map symbology, classification, normalization, and aggregation.

A quick review of classified and unclassified symbols for mapping quantitative information

The “short-and-sweet” comparison of vector and raster spatial datasets

Spatial datasets, like all datasets, are never raw. Each is the result of several decisions, priorities, and constraints. They are authored and edited.

(Almost) every map we produce or encounter will have some combination of elements usually deemed “necessary” or “required.” The typical list can be both useful and problematic.