#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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