Kartographie 4

measure encode from world to data model

A feature is a spatial entitty, a distinct phenomenon

physical, abstract and process based feature

discrete and continuous feature

point, linear, areal and volumetric features

feature dimension is scale dependent

measure encode from world to data model

A feature is a spatial entitty, a distinct phenomenon

physical, abstract and process based feature

discrete and continuous feature

point, linear, areal and volumetric features

feature dimension is scale dependent

encode from data model to graphic model

three pilars of map design: theme, audience, purpose

maps are products of art clarified by science

seven visual variables: location, size, color (hue, saturation, value), texture, shape, orientation

To communicate meanings with graphic marks one need to know:

- feature characteristics

- features spatial dimensions

- level of measurement, scale niveau

decode information from graphic model to mental model

What's importan should be salient! Map hierarchy:

top: foreground for whats most important

in between: middle ground

bottom: background: least important plane

visual balance relates to horizontal organiszation for "Prägnanz"

-> some items seem heavier than others because of:

size, value, location or shape

->vertical visual information through "Prägnanz" principle:

1. grouping by proximity

2. " " by similarity

3. closure

4. good continuation

5. common fate

wie?