30 Maps in 30 Days

with Python

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Alexander Kmoch

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  • Topi & Challenge

  • Map themes

  • Concepts

  • Libraries

  • Lessons learned

Topi Tjukanov

https://tjukanov.org/

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Topi Tjukanov

@tjukanov

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https://twitter.com/hashtag/30DayMapChallenge

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Somebody even made an inventory

https://david.frigge.nz/30DayMapChallenge2020/

  • 2019: at least 631 people tweeting on the hashtag / indexed 3484 maps by 414 people. - 25 people creating all 30 maps

  • 2020: at least 1378 people tweeting on the hashtag. / indexed 6882 maps by 797 people. - 67 people creating all 30 maps

Geospatial Python and Pyviz FTW

https://allixender.github.io/30MapChallenge2020/

  • Github repo

  • Sphinx :-)

  • Notebooks + (most) data, at least data cites

  • reproducible

Challenges

Idea + Data + Skill → Good Map

  • Open Data related to themes (cool idea?)

  • Too much/big data hard to effectively churn into a nice map

  • Styling options (existing vs. known vs. skill)

Concepts

  • data acquisition

  • pre-processing

  • spatial analysis (sometimes)

  • plotting and styling

Libraries and how I used them

produce the image

  • Geopandas.plot aka Matplotlib - 11

  • GeoPlot - 5

  • GeoViews / cartopy - 4

  • EarthPy - 4

  • Python PILLOW, raw image/gifs - 3

  • Datashader - 2

  • folium - 1

Libraries and how I used them

data acquisition and pre-processing

  • Geopandas

  • Rasterio/GDAL

  • Contextily (as a basemap)

  • requests / urllib.requests

  • Owslib

  • osmnx

Libraries and how I used them

spatial analysis

  • Shapely/Geopandas clip, sjoin or otherwise subselect - 7

  • Pysal (MapClassify) - 6

  • GeoPlot functions (KDE, cartogram) - 4

  • EarthPy (Hillshade) - 3

  • DGGS grids - 3

  • pysheds - 1

  • idw_knn interpolation - 1

  • pymannkendall - 1

Libraries and how I used them

number of layers

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Classic Points: Estonian State Forest Management Centre (RMK) public recreations sites

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Classic GIS: Landuse Copernicus C3S Landcover for Estonia

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Natural Earth population as Globe with GeoViews

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Hexagons: NASA GPWv4 global population density in ISEAH7 DGGS Hexagons

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Grids - comparison of different global grid systems (H3, rHealPix, dggrid4py)

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Red DEM shading of Mars (EarthPy)

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3D Elevation as scientific surface plot

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Monochrome theme: Stream Delineation with PySheds

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Trends in River flows in Estonia (pymannkendall)

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Change of Sea ice extent around Antarctica Nov. 2020

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Historical Maps of the Estonian Island of Vormsi - Owslib WMS

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GeoPlot KDE - Blue Cornflower distribution

The Blue Cornflower is also a National Estonian symbol.

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Big or (and) small: Place names containing big / small

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GeoPlot Cartograms: Boundaries as global countries bboxes

Day 26 - Map with a new tool

#TODO

Day 28 - Non-geographic map

#TODO

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NULL Island NoData

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Datashader: Estonian rivers and streams by from Estonian Landboard (Maa-Amet)

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Datashader - Movement / Mobility in Estonia

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Green Radar Style Buildings Footprint (OSMNX)

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Map not made with GIS software (ASCII art)

Conclusions

It was awesome!

It was slightly insane.

I learned sooo much!

Gotta do it again.

Thanks.

alexander.kmoch@ut.ee

twitter.com/allixender

twitter.com/lgeoinformatics

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