Time for challenge: 30 maps in 30 days

Posted on December 13, 2021 by Evelyn Uuemaa

#30DayMapChallenge takes place for the third time already in November. It was initiated by Topi Tjukanov in 2019 in Twitter and the idea is to create (and publish) maps based on different themes on each day of the month using the hashtag #30DayMapChallenge.

From Estonia, Positium, Estonian Land Board and Evelyn Uuemaa published all the 30 maps in this year’s challenge. All in all, there were more than 1200 mappers in 2021 and more than 9000 maps were created for the challenge.

In previous years, several staff members of the Department of Geography have participated in the challenge but this year also many master’s students from our MSc programmes (Geography, Geoinformatics for Urbanised Society and GEM) joined the challenge. Below you can find a selection of maps by our students and staff members.

* Clicking on a map opens a larger view.

Categories for the map challenge

1. Points

All 371237 Estonian place names from the official Place Name Registry mapped as points. Data: Estonian Land Board; map by Alexander Kmoch

2. Lines

Road surface in Estonia featuring also seasonal ice roads between the islands and mainland. Data: Estonian Land Board; map by Martin Haamer

3. Polygons

The map illustrates changes in average summer temperatures from 1979 to 2100 according to the ensemble climate model. Data: Copernicus Climate Change Service; map by Ademi Kundybayeva

4. Hexagons

Hexagonal hearts of the largest cities in Estonia. Data: Estonian Land Board; map by Liza Vabištševitš

5. Data challenge

OpenStreetMap: Estonian cities designed in the Pokemon style. Data: OpenStreetMap; Map design by Evelyn Uuemaa

6. Red

Landsat false color composite of River Emajõgi in Estonia. Data: NASA, Landsat; map by Nihad Gurbanov

7. Green

Combining red and green into vulnerability to heatwaves. Data: Urban Atlas 2018; map by Hleb Lazovik

8. Blue

Baltic Sea shipping density with major seaports. Data: World Bank Global Shipping Traffic Density dataset; map by Evelyn Uuemaa

9. Monochrome

The isolex of the word “bucket” in Estonian – the South Estonians say “pang” and North Estonians say “ämber”. Data Dialectological dictionary of Estonia; map by Evelyn Uuemaa and Taavi Pae

10. Raster

Projected summer humidity conditions in Europe in year 2100. Data: IPCC WGI Interactive Atlas; map by Anatoliy Romanchuk

11. 3D

Kuressaare castle in Estonia. Data: Estonian Land Board; map by Evelyn Uuemaa

12. Population

Sheep population in Estonia. Data: Agricultural Registers and Information Board; map by Evelyn Uuemaa

13. Data challenge

Natural Earth: what time is at the poles? Time zones are converging at the poles and time has no traditional meaning at poles. McMurdo Station in the South Pole follows New Zealand time because it’s mainly serviced from NZ. North pole does not have any stations and therefore usually polar expeditions may choose to observe the same time zone as their country of origin or may opt to use UTM. Data: Natural Earth; map by Evelyn Uuemaa

14. Map made with a new tool

Map made with a new tool: Rummu quarry 3D made with Blender. Data: Estonian Land Board; map by Evelyn Uuemaa

15. Map made without using a computer

Rowan and chokeberry(cities) Estonia on the maple leaf sea. map by Evelyn Uuemaa

16. Urban/rural

The expansion of the built-up areas from 1975 to 2015. Data: Global Human Settlement Layer; map by Evelyn Uuemaa

17. Land

Land use deconstructed – arable land, forests, wetlands and built-up. Data: Estonian Land Board; map by Evelyn Uuemaa

18. Water

Shrinking of the Aral sea. Data: NASA; map by Els Kuiper

19. Island(s)

Muhu island in Estonia. Data: Estonian Land Board; map by Evelyn Uuemaa

20. Movement

The migration and main stops of a Barnacle Goose. Data: FTZ BIRDMOVE Project, Movebank; map by Bryan R. Vallejo

21. Elevation

Tanaka contours aka illuminated contours is terrain visualization method developed first by Prof. Tanaka Kitirito in 1950. The method mimics 3D by illuminating the northwestern slopes and shading the opposite slopes. The current map is from Haanja, Southeast Estonia. Data: Estonian Land Board; map by Evelyn Uuemaa

22. Boundaries

Tallinn without borders: everyday movement to and from Tallinn and how far would you get from Tallinn within 2h. Data: UT Mobility Lab; map by Evelyn Uuemaa

23. Data Challenge

GHSL Global Human Settlement Layer – built up areas in Georgia in 2015. Data: GHSL Global Human Settlement Layer; map by Lika Zhvania

24. Historical

“Little America” in Estonia. Data: National Archives of Estonia; map by Ago Tominga

25. Interactive

Cult stones and cross-trees in Estonia. Cross-trees are common in Southeastern Estonia where it was a funeral custom. Cult stones have had various purposes and are more common in Northern Estonia. Interactive map available here: https://kevelyn1.github.io/maps/stones_and_trees.html Data: EELIS; map by Evelyn Uuemaa

26. Choropleth

Choropleth map is the most common thematic map type but it is often accompanied by the modifiable areal unit problem (MAUP). These maps demonstrate one possible example of MAUP. Data: Estonian Statistics; map by Evelyn Uuemaa

27. Heatmap

Wildfires in Estonia from 2014 to 2020. Data Estonian Rescue Board; map by Evelyn Uuemaa

28. Earth is not flat

The relief of Estonia. Data: Estonian Land Board; map by Helena Maarja Lainjärv

29. NULL

Countries not affected by COVID’19. map by Abdullah Toqeer

30. Metamapping

Metamapping or mapping meta-llica? Metallica live performances from 1982 to 2018. Data: Kaggle; map by Evelyn Uuemaa
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