Week 8 Figure Extraction Checklist

This document lists all figures needed for week8-geovis-2d-maps.qmd. Extract and rename them according to the naming scheme below.

Source Files

PDF: /Users/csilva/Dropbox/2025-CS-GY-6313/heer-class/CSE512-Maps.pdf
PPTX: /Users/csilva/Dropbox/2025-CS-GY-6313/bertini/InfoVis Material/Lecture slides/7-Visualizing Geographical Data.pptx

Destination Directory

All figures should be saved to: 2025-InfoVis-CSE/slides/figs/week8/

Extraction Methods

For PDF (using pdfimages):

cd ~/Dropbox/2025-CS-GY-6313/heer-class/
pdfimages -all CSE512-Maps.pdf ~/github/ctsilva.github.io/2025-InfoVis-CSE/slides/figs/week8/temp-pdf
# Then manually identify and rename the extracted images

For PPTX (using unzip):

cd ~/Dropbox/2025-CS-GY-6313/bertini/InfoVis\ Material/Lecture\ slides/
cp "7-Visualizing Geographical Data.pptx" temp-extract.zip
unzip temp-extract.zip
# Images will be in ppt/media/
cp ppt/media/* ~/github/ctsilva.github.io/2025-InfoVis-CSE/slides/figs/week8/temp-pptx/
# Then manually identify and rename the extracted images
rm -rf ppt/ [Content_Types].xml _rels/ docProps/ temp-extract.zip

Required Figures Checklist

Title Slide & Historical (Slides 1-3)

snow-cholera-map.png - John Snow’s Cholera Map (cover version)
- Source: CSE512-Maps.pdf, Page 1
minard-napoleon.png - Minard’s Napoleon March (cover version)
- Source: CSE512-Maps.pdf, Page 1
nyt-election-2020.png - NYT 2020 Election Map (cover version)
- Source: CSE512-Maps.pdf, Page 1
snow-cholera-detailed.png - John Snow’s Cholera Map (detailed version)
- Source: CSE512-Maps.pdf, Page 1 or similar
ptolemy-map.png - Ptolemy’s Geographica
- Source: CSE512-Maps.pdf, Page 3
minard-napoleon-detailed.png - Minard’s Map (detailed version)
- Source: CSE512-Maps.pdf, Page 1

When to Use a Map (Slides 4-5)

sales-map.png - US states colored by sales value
- Source: 7-Visualizing Geographical Data.pptx, Slides 10-11
sales-barchart.png - Bar chart of sales by state
- Source: 7-Visualizing Geographical Data.pptx, Slides 10-11

Projections (Slides 6-9)

projection-concept.png - 3D globe unpeeling onto 2D surface
- Source: Find generic illustration or create placeholder
mercator-projection.png - Basic Mercator projection
- Source: CSE512-Maps.pdf, Page 28-29
albers-projection.png - Albers Equal-Area projection
- Source: CSE512-Maps.pdf, Page 30
azimuthal-projection.png - Azimuthal Equidistant projection
- Source: CSE512-Maps.pdf (find appropriate page)
tissot-mercator.png - Tissot’s Indicatrix on Mercator
- Source: CSE512-Maps.pdf, Page 25-26
tissot-equal-area.png - Tissot’s Indicatrix on equal-area projection
- Source: CSE512-Maps.pdf, Page 25-26
mercator-greenland-africa.png - Mercator showing Greenland vs Africa comparison
- Source: CSE512-Maps.pdf, Page 28-29
albers-us.png - Albers projection of US
- Source: CSE512-Maps.pdf, Page 30

Taxonomy (Slides 10-13)

nyt-choropleth-winner.png - NYT 2020 Election: By Winner
- Source: CSE512-Maps.pdf, Page 37
nyt-proportional-lead.png - NYT 2020 Election: Size of Lead
- Source: CSE512-Maps.pdf, Page 38
nyt-cartogram-electoral.png - NYT Electoral College Cartogram
- Source: CSE512-Maps.pdf, Page 42
minard-coal-exports.png - Minard’s British Coal Exports (1864)
- Source: CSE512-Maps.pdf, Page 45

Pitfall 1: Normalization (Slides 16-17)

twitter-raw-counts.png - Number of Twitter Users (bad example)
- Source: 7-Visualizing Geographical Data.pptx, Slides 56-59
twitter-percentage.png - Percentage of Twitter Users (good example)
- Source: 7-Visualizing Geographical Data.pptx, Slides 56-59

Pitfall 2: Classification (Slide 18)

binning-comparison.png - Three maps showing Equal Interval, Quantile, Natural Breaks
- Source: 7-Visualizing Geographical Data.pptx, Slides 213-219
- Note: This may need to be a composite image showing all three methods

Pitfall 3: Color (Slides 20-21)

rainbow-colorscale-bad.png - Map with rainbow color scale (bad example)
- Source: 7-Visualizing Geographical Data.pptx, Slides 221-222
good-sequential-scale.png - Map with proper sequential color scale
- Source: 7-Visualizing Geographical Data.pptx, Slides 221-222 or create example
good-diverging-scale.png - Map with proper diverging color scale
- Source: 7-Visualizing Geographical Data.pptx, Slides 221-222 or create example

Pitfall 4: Geography/MAUP (Slides 22-23)

election-2016-red.png - 2016 Election map looking “all red”
- Source: 7-Visualizing Geographical Data.pptx, Slides 66-67
election-choropleth-bad.png - Standard choropleth (misleading)
- Source: Can reuse election-2016-red.png or similar
nyt-proportional-lead-solution.png - NYT Size of Lead (solution)
- Source: CSE512-Maps.pdf, Page 38 (may be duplicate of earlier image)
nyt-cartogram-solution.png - NYT Electoral College cartogram (solution)
- Source: CSE512-Maps.pdf, Page 42 (may be duplicate of earlier image)

Urban Viz Bridge (Slide 24)

beck-tube-map.png - Beck’s London Tube Diagram
- Source: CSE512-Maps.pdf, Page 49

Post-Extraction Steps

After extracting and renaming all figures:

Verify all images are in place:

cd ~/github/ctsilva.github.io/2025-InfoVis-CSE/slides/figs/week8/
ls -la

Check image quality:
- Open each image to ensure it’s clear and readable
- Resize if necessary (target: 1920x1080 or proportional)
Clean up temporary directories:
```
rm -rf temp-pdf/ temp-pptx/
```

Render the slides:

cd ~/github/ctsilva.github.io/2025-InfoVis-CSE/slides/
quarto render week8-geovis-2d-maps.qmd

Preview the slides:

quarto preview week8-geovis-2d-maps.qmd

Commit to git:

cd ~/github/ctsilva.github.io/
git add 2025-InfoVis-CSE/slides/week8-geovis-2d-maps.qmd
git add 2025-InfoVis-CSE/slides/week8-geovis-2d-maps.html
git add 2025-InfoVis-CSE/slides/week8-geovis-2d-maps_files/
git add 2025-InfoVis-CSE/slides/figs/week8/
git commit -m "Add Week 8 Lecture 1: Foundations of Geovisualization (2D Maps)"
git push

Notes

Duplicate images: Some images are referenced multiple times (e.g., the NYT election maps). You can create symbolic links or copy the same file with different names if you prefer to keep them separate for organizational clarity.
Missing images: If you can’t find an exact match in the source materials, you may need to:
- Create a simple placeholder image
- Find a suitable Creative Commons or public domain alternative
- Skip the image temporarily and add it later
Image format: PNG is preferred for compatibility and quality. If extracted as JPEG, consider converting to PNG for slides with text overlays.
Resolution: Aim for high-resolution images that will look crisp on a 1920x1080 presentation display.

Claudio Silva