30-Day-Map-Challenge-2023

This is my second year doing this challenge! You can check out last years repo here. This year I'm having to do this alongside a full time job so I have no idea how it will go timings wise but I'll be attempting every map anyway. You can find all my code here in this repo, but feel free to follow my progress on my socials:

• Mastodon
• Instagram
• X

Interactive maps can be found on my 30 Day Map Challenge 2023 site

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Day 1 ¦ Day 2 ¦ Day 3 ¦ Day 4 ¦ Day 5 ¦ Day 6 ¦ Day 7 ¦ Day 8 ¦ Day 9 ¦ Day 10

Day 11 ¦ Day 12 ¦ Day 13 ¦ Day 14 ¦ Day 15 ¦ Day 16 ¦ Day 17 ¦ Day 18 ¦ Day 19 ¦ Day 20

Day 21 ¦ Day 22 ¦ Day 23 ¦ Day 24 ¦ Day 25 ¦ Day 26 ¦ Day 27 ¦ Day 28 ¦ Day 29 ¦ Day 30

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Skills and Technologies Used During the Challenge

• Python
• HTML
• CSS

New Languages and Software:

• Python Pysal

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Daily Themes:

1. Points

Live Map

Plan:

Plot the highest peaks, most prominent peaks and most isolated peaks of the Rocky Mountains

Key Skills/Technologies used:

• Python
  • Os
  • Pandas
  • Matplotlib
  • Plotly

Code and Data:

Code Data

Notes:

• Goal was for map to achieves something that looked reasonably good quite quickly as I was already a couple of days behind on the challenge when I made it.
• I re used the Mapbox Studio base map I hand built for last year's colour Friday (Blue) map.

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2. Lines

Plan:

Plot the walking paths around the City of London in an artistic way

Key Skills/Technologies used:

• Python
  • Osmnx
  • Matplotlib

Code and Data:

Code

Notes:

• Inspired by last year's network map

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3. Polygons

Plan:

Map the Scottish and Welsh Constituency Regions

Key Skills/Technologies used:

• Python
  • Geopandas
  • Os
  • Pandas

Code and Data:

Code Data

Notes:

• Inspired by this Stack Exchange discussion

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4. A Bad Map

Plan:

Map the locations of all the mass shootings in the USA in 2023.

Key Skills/Technologies used:

• Python
  • Os
  • Pandas
  • Matplotlib
  • Plotly

Code and Data:

Code Data

Notes:

I wanted to flip around the idea of a bad map. Instead of a map which dosen't do it's job, or a map that looks a bit rubbish, I thought it would be an interesting change to do a map about a bad thing. So this map illustrates all the locations where there have been mass shootings in the United States in 2023. Devastatingly, at the time of producing this map, there have been 518.

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5. Analog Map

Map Video

Plan:

Draw a map of Asia on a Pumpkin

Notes:

Thought it would be amusing to use up a leftover Haloween pumpkin and fancied challenging myself to draw Asia given there are lots of interestingly shaped countries in the region.

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6. Asia

Plan:

Illustrate the difference in tourism revenue between the different provences in Thailand

Code and Data:

Code Tourism Data Geospatial Data

Key Skills/Technologies used:

• Python
  • Os
  • Pandas
  • Matplotlib
  • Plotly
  • Geopandas
• SQL

Notes:

This took me far far longer than anticipated and taught me quite a lot about translating SQL into Pandas

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7. Navigation

Plan:

Show you the way to Amarillo (from New York where the writers of the hit were based at the time)

Code and Data:

Code

Key Skills/Technologies used:

• Python
  • Os
  • Pandas
  • Matplotlib
  • Plotly

Notes:

I initially tried using follium for this but had a lot of issues. Instead I had to use google to find the route and then manually harvest the co-ordinates so I could plot them on the map. I also built a mapbox style from scratch in the colour scheme used by the song's original almbum cover but for some reason plotly wasn't showing the location lables so I had to go with the standard mapbox v11 dark mode style instead. Overall felt pretty frustrated by this map because I was very excited by the idea, and not only does the route look pretty boring, but the overall look of the map does not at all reflect the effort that went into it. It's also pretty frustrating that this map has put me even further behind than I was in the challenge, and it looks really pretty basic and boring for my trouble.

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8. Africa

Plan:

Map the usage of the different major languages in South Africa

Code and Data:

Code Language Data Geospatial Data

Key Skills/Technologies used:

• Python
  • Os
  • Pandas
  • Matplotlib
  • Plotly
  • Geopandas
• SQL

Notes:

I don't think I really anticipated making quite so many maps in one day, which is why I ended up keeping them very similar in format to the Thailand Map

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9. Hexagons

Plan:

Recycling day 4 data to build a hexbin map

Key Skills/Technologies used:

• Python
  • Os
  • Pandas
  • Matplotlib
  • Plotly

Code and Data:

Code Data

Notes:

Honestly I had an exhausting day today so I decided to go with something pretty simple and recycle my day 4 data.

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10. North America

Plan:

Map the extent and ground ice levels of the permafrost areas in Canada

Key Skills/Technologies used:

• Python
  • Os
  • Pandas
  • Matplotlib
  • Geopandas
• Excel
• Paint

Code and Data:

Code Data

Notes:

Unfortunately the only data I could find is pretty out of date (pre 2000) but I'm quite proud of how this map turned out nonetheless.

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11. Retro

Plan:

Plot a retro issue! Counties consuming the most CFC's (which damage the Ozone Layer)

Key Skills/Technologies used:

• Python
  • Os
  • Pandas
  • Matplotlib
  • Geopandas
• Excel
• Paint

Code and Data:

Code Geospatial Data CFC Data

Notes:

Very much an art focused rather than scientific focused map. Used Paint to add the retro visuals and the font used was Jokerman. Some of the data for countries didn't join properly - some of this was due to accesnts in the names in the geospatial data but there were other occasions which I could not solve.

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12. South America

Plan:

Plot a relief map of the Chilean Andes

Key Skills/Technologies used:

• Aerialod

Code and Data:

Tif Data

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13. Chloropleth

Plan:

Plot countries based on number of album sales by Taylor Swift

Key Skills/Technologies used:

• Python
  • Os
  • Pandas
  • Matplotlib
  • Geopandas
  • Plotly

Code and Data:

Code Sales Data Shapefile Data

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14. Europe

Plan:

Artistically plot some of the 'best' places in Norway to see the Northern Lights

Key Skills/Technologies used:

• Python
  • Os
  • Pandas
  • Plotly
• Mapbox Studio

Code and Data:

Code Data

Notes:

Custom mapbox base map built using Mapbox Studio.

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15. Open Street Map

Plan:

Use Prettymaps to plot somewhere that looks interesting from above.

Key Skills/Technologies used:

• Prettymapp

Notes:

Inspired by last year's use of the prettymapp app

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16. Oceania

Plan:

Plot a relief map of New Zealand and the surrounding seabed

Key Skills/Technologies used:

• Aerialod

Code and Data:

Tif Data

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17. Flow

Plan:

Make an artistic map of the river watercourses in Ontario.

Key Skills/Technologies used:

• Python
  • Geopandas
  • Os
  • Pandas

Code and Data:

Code Data

Notes:

• Inspired by last year's lines map Really struggled with todays theme, I had several really cool ideas but there was either no data, no information on how to achieve the idea, or no time. Beware of the data, that file is a monster, it took ages to run just the import statement!

!Run Time

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18. Atmosphere

Plan:

Compare countries who produce the most total CO2 with countries that produce the most CO2 per capita

Key Skills/Technologies used:

• Python
  • os
  • Pandas
  • Plotly

Code and Data:

Code Data

Notes:

Visualised countries who were outwith the range of a box whisker chart of all the countries values.

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19. 5 Minute Map

Plan:

Plot a map as fast as I can!

Key Skills/Technologies used:

• Python
  • Osmnx

Code and Data:

Code

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20. Outdoors

Plan:

Use the route planning feature on Strava to plot a route spelling out the word "outdoors", the record myself walking the route.

Key Skills/Technologies used:

• Strava
• Walking
• Patience!

Notes:

This honestly turned out far better than I thought it was going to.

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21. Raster

Plan:

Produce a contour map of the Mariana Trench

Key Skills/Technologies used:

• QGIS

Data:

Data

Notes:

This was a difficult map to produce given the scale of both the extent and the depth of the area. To have detailed contours, you have to zoom in very far, and you can't see the full extent of the trench. To see the full extent of the trench, you have to reduce the frequency of the contours.

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22. North is Not Always Up

Plan:

Play around with locked positions in mapbox studio.

Key Skills/Technologies used:

• Mapbox Studio

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23. 3D

Plan:

Plot a relief map of the Falkland Islands and the surrounding seabed

Key Skills/Technologies used:

• Aerialod

Code and Data:

Tif Data

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24. Black and White

Plan:

Play with REM's and Lidar Data

Key Skills/Technologies used:

• QGIS

Code and Data:

DEM Data

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25. Antarctica

Plan:

Continue to play with REM's and Lidar Data and explore their depictions of glaciers and the striations they produce.

Key Skills/Technologies used:

• QGIS

Code and Data:

DEM Data

Notes:

The data was only at a resolution of 8m so things are a little rougher than I'd like.

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26. Minimal

Plan:

Plot a minimalist road map of Verona, Italy

Key Skills/Technologies used:

• Python
  • Osmnx

Code and Data:

Code

Notes:

Inspired by the Itallian person I could hear talking in the background as I made this

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27. Dot

Plan:

Draw size proportional dots for the provinces of Denmark

Key Skills/Technologies used:

• Microsoft Power Point

Notes:

To be honest I wasn't really sure what the difference between this "dot" theme and day 1's "points" theme was so I just tried to produce something that looked a bit different.

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