Vorlesung 7; point & line data
Universität Zürich GEO123, Frühlingssemester 2019 Tumasch Reichenbacher
Universität Zürich GEO123, Frühlingssemester 2019 Tumasch Reichenbacher
Fichier Détails
| Cartes-fiches | 13 |
|---|---|
| Langue | English |
| Catégorie | Géographie |
| Niveau | Université |
| Crée / Actualisé | 25.08.2019 / 25.08.2019 |
| Attribution de licence | Non précisé |
| Lien de web |
https://card2brain.ch/box/20190825_vorlesung_7_point_line_data
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| Intégrer |
<iframe src="https://card2brain.ch/box/20190825_vorlesung_7_point_line_data/embed" width="780" height="150" scrolling="no" frameborder="0"></iframe>
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lines, qualitativ
visual variables:
- size (Autobahn vs. Quartierstrasse)
- color hue (z.B. aktuelle Verkehrslage, rot - grün)
- texture (Kantonsgrenze vs. Gemeindegrenze)
different lines for different types of roads
qualitative flow maps
WAS? Wo?
z.B. Windströme, Meeresströme
lines, quantitative
visual variables:
- size
- color hue
- color value
different lines for different magnitudes
absolute data/ total values
quantitative flow maps
WIE VIEL? Was? Wo?
z.B. Verteilung Güter, Fliessrichtung, Bewegung -> Hauptströme ablesbar
Flow Map Types
- radial: klares Zentrum, nach aussen
- network
- distributiv: Verteilung über Raum, Abzweiger (eine Quelle spaltet sich auf)
Legende beinhaltet qualititive Farbunterschiede & quantitative Abstufung
Flow maps, design issues
- use color value/hue to avoid visual clutter instead of using line size
- increase figure/ground contrast: flow sits visually on top, small flow lines cut larger ones
- choose appropriate projection to support flow patterns
- include arrows if direction of flow is important
- include comprehensive and unambiguous legend
points, qualitative
visual variables:
- shape
- color hue
- orientation
- texture
different points for different types of features
Was? Wo?
points, quantitative
visual variables:
- size
- color value (hue)
different points for different magnitudes/features
absolute data/ total values
