maps and the geospatial revolution: lesson 5, lecture 2
DESCRIPTION
These are the slides to accompany the second lecture from Lesson 5 of Maps and the Geospatial Revolution on Coursera. www.coursera.org/course/maps/TRANSCRIPT
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Maps and the Geospatial Revolution
Lesson 5 – Lecture 2
Anthony C. Robinson, Ph.D Lead Faculty for Online Geospatial Education John A. 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
![Page 2: Maps and the Geospatial Revolution: Lesson 5, Lecture 2](https://reader035.vdocument.in/reader035/viewer/2022070302/558aa46fd8b42a896a8b4730/html5/thumbnails/2.jpg)
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)
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Sequential Colors
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Sequential Colors
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Diverging Colors
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Qualitative Colors
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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
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Rainbows Kill People
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Rainbows Kill People
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Data Classification
• Assigning observations to categories is called data classification
• Three major types to know
– Equal Interval – Quantile – Natural Breaks
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Equal Interval Classification
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Quantile Classification
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Natural Break Classification
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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
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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