unknown artist (cerca 1587). Fool's Head World Map. Image from National Maritime Museum, Greenwich, London.
Quick Overview
Generalization
Selection - The decision of what geographic phenomena are represented on the map
Simplification - The decision of what spatial resolution will be used for representing geographic phenomena
Classification
The decision of how to display attribute information that represents geographic phenomena
Scale Matters
Purpose Matters
“Map Generalization [selection and simplification]: Little white lies and lots of them”
Monmonier, M. (1996 [1991]). How to Lie With Maps. Chicago, University of Chicago Press.
Selection
Scale matters: several examples of selection across different scales
Purpose matters: selection across constant scale where on the left physical geography is emphasized whereas on the right there is a base map good for showing attribute information of non-physical phenomena
Robinson, A. H., J. L. Morrison, et al. (1995 [1953]). Elements of Cartography, sixth edition. USA, John Wiley and Sons.
Generalization
How long is the coastline of Great Britain??
Scale Matters: for a large scale world map, the polygon on the left will be sufficient, but for a poster map of the world more detail will be necessary.
Benoît Mandelbrot (1967). "How Long Is the Coast of Britain? Statistical Self-Similarity and Fractional Dimension", Science, New Series, Vol. 156, No. 3775. (May 5, 1967), pp. 636-638.
Simplification
Too much detail gives more visual weight to the line
Too much detail will make the file size larger
Simplification
ArcMap has two common algorithms
Point remove
Bend simplify
QGIS has several tools
Simplify Geometries
GRASS - v.generalize
Classification
Classification is not always desirable
Attribute data directly linked to the visual variable
- the color is linked to the data (a satellite image)
- the size is linked to the data (a proportional symbol map)
For interval or ratio measurement
Classed: how many classes?
Clorapleth: 5-7 is recommended
Chorachromatic: < 7
How to decide on class divisions?
A non-classed proportional symbol map. Note how you automatically class them in your mind.
Classed
2008 Presidential Election by County
Mark Newman - mejn@umich.edu. Department of Physics and Center for the Study of Complex Systems, University of Michigan. Under creative commons license.
non-Classed
2008 Presidential Election by County with Linear Percentages
Mark Newman - mejn@umich.edu. Department of Physics and Center for the Study of Complex Systems, University of Michigan. Under creative commons license.