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Maps and the Geospatial Revolution
Lesson 5 – Lecture 2
Anthony C. Robinson, Ph.D
Lead Faculty for Online Geospatial Education
JohnA. Dutton e-Education Institute
Assistant Director, GeoVISTA Center
Department of Geography
The Pennsylvania State University
This content is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License
Choosing Colors
• Colors on thematic maps should correspond to
the type of data you’re trying to show
– Do you have numerical or categorical data?
• Color schemes include three major types
– Sequential (less -> more)
– Diverging (above and below an average)
– Qualitative (pizza, currywurst, and tonkatsu)
Sequential Colors
Sequential Colors
Diverging Colors
Qualitative Colors
Rainbows Kill People
• Rainbow (spectral) color schemes are commonly misused on
maps
– Weather maps showing precipitation amounts
– Every “heat map” floating around
• They’re bad because they often use qualitative colors to show
sequential or diverging data
– Is blue more than yellow? Is purple more than blue?
• They also can kill people
– Doctors interpreting medical images of the heart made worse
decisions about their patients using rainbow schemes than simple
sequential schemes
Rainbows Kill People
Rainbows Kill People
Data Classification
• Assigning observations
to categories is called
data classification
• Three major types to
know
– Equal Interval
– Quantile
– Natural Breaks
Equal Interval Classification
Quantile Classification
Natural Break Classification
Text On Maps
• Designing text on
maps is a major
aspect of
cartography
• Choosing fonts and
positioning labels can
be a daunting task
– Labeling every
street, building,
etc… and making
them all readable
together
Maps and the Geospatial Revolution www.coursera.org/course/maps
Twitter @MapRevolution
Online Geospatial Education @ Penn State www.pennstategis.com
This content is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License

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Maps and the Geospatial Revolution: Lesson 5, Lecture 2

  • 1. Maps and the Geospatial Revolution Lesson 5 – Lecture 2 Anthony C. Robinson, Ph.D Lead Faculty for Online Geospatial Education JohnA. Dutton e-Education Institute Assistant Director, GeoVISTA Center Department of Geography The Pennsylvania State University This content is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License
  • 2. Choosing Colors • Colors on thematic maps should correspond to the type of data you’re trying to show – Do you have numerical or categorical data? • Color schemes include three major types – Sequential (less -> more) – Diverging (above and below an average) – Qualitative (pizza, currywurst, and tonkatsu)
  • 7. Rainbows Kill People • Rainbow (spectral) color schemes are commonly misused on maps – Weather maps showing precipitation amounts – Every “heat map” floating around • They’re bad because they often use qualitative colors to show sequential or diverging data – Is blue more than yellow? Is purple more than blue? • They also can kill people – Doctors interpreting medical images of the heart made worse decisions about their patients using rainbow schemes than simple sequential schemes
  • 10. Data Classification • Assigning observations to categories is called data classification • Three major types to know – Equal Interval – Quantile – Natural Breaks
  • 14. Text On Maps • Designing text on maps is a major aspect of cartography • Choosing fonts and positioning labels can be a daunting task – Labeling every street, building, etc… and making them all readable together
  • 15. Maps and the Geospatial Revolution www.coursera.org/course/maps Twitter @MapRevolution Online Geospatial Education @ Penn State www.pennstategis.com This content is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License