This repository includes the maps produced for the 2020 edition of the #30DayMapChallenge 🌎🌏🌎
#30DayMapChallenge is a daily mapping/cartography/data visualization challenge aimed at the spatial community, launched by Topi Tjukanov and happening on Twitter. The rules are simple: create and publish maps about different themes on each day of November using the hashtag #30DayMapChallenge. Maps can be prepared in advance but shall be published on specific days according to the themes listed below. No registration to the challenge is required and there are no restrictions on the tools, technologies and data that can be used in the maps. There is also no obligation to publish alle the 30 maps. The 2020 #30DayMapChallenge is announced in this tweet and the full information, including a code of conduct, is available here.
Producing 30 maps in 30 days is really hard, so this year I joined forces with my colleague Valentina Alberti, an enthusiast of GIS, data and dataviz just like me! Together we produced the 30 maps that you can see below, which were all published on my Twitter profile under a CC BY 4.0 license (except where otherwise stated). The data sources, the software used for each map and the tweet where the map was published are mentioned below. Our friends for the challenge were a family of little gnomes that appeared in all our 30 maps. We hope you will enjoy the gallery!
Data sources: © OpenStreetMap contributors, GHS Population Grid - JRC. Software used: QGIS. Tweet available here.
Data source: © OpenStreetMap contributors. Software used: QGIS. Tweet available here.
Data source: Urban Audit - Eurostat. Software used: QGIS. Tweet available here.
Data source: Open Data Portal - Lombardy Region. Software used: QGIS. Tweet available here.
Data source: Istat. Software used: QGIS. Tweet available here.
Data source: Geoportal - Lombardy Region. Software used: QGIS. Tweet available here.
Data sources: © OpenStreetMap contributors, Italian National Geoportal. Software used: QGIS. Tweet available here.
Data sources: © OpenStreetMap contributors, NUTS - Eurostat. Software used: QGIS. Tweet available here.
Data source: OpenDataPhilly. Software used: QGIS. Tweet available here.
Data source: SRTM. Software used: QGIS (inspired by this tutorial). Tweet available here.
Data sources: Data Access Viewer - NOAA, ESRI. Software used: QGIS (inspired by this tutorial). Tweet available here.
Data source: A paper map. Software used: Illustrator. Tweet available here.
Data source: Italian National Geoportal. Software used: QGIS. Tweet available here.
Data sources: Istat, NUTS - Eurostat. Software used: QGIS. Tweet available here.
Data source: European Commission. Software used: QGIS, Illustrator. Tweet available here.
Data source: Natural Earth. Software used: QGIS (style from here). Tweet available here.
.png?raw=true)
Data sources: State Archive of Como, Italian National Geoportal, © OpenStreetMap contributors. Software used: QGIS. Tweet available here.
Data sources: Urban Atlas - Copernicus, Italian National Geoportal. Software used: QGIS. Tweet available here.
Data sources: none. Software used: QGIS. Tweet available here.
Data source: Istat. Software used: QGIS. Tweet available here.
Data source: Open Data Portal - Lombardy Region. Software used: QGIS, Illustrator. Tweet available here.
Data sources: our memories, Natural Earth. Software used: QGIS, Illustrator. Tweet available here.
Data sources: Natural Earth, © OpenStreetMap contributors. Software used: QGIS. Tweet available here.
Data source: Open Data Portal - UK Government. Software used: Aerialod. Tweet available here.
Data source: Italian Presidency of the Council of Ministries. Software used: QGIS. Tweet available here.
Data source: our fantasy. Software used: Inkarnate. Tweet available here.
Data sources: © OpenStreetMap contributors, Natural Earth. Software used: QGIS. Tweet available here.
Data source: theMountainGoats from this Forum thread. Software used: QGIS. Tweet available here.
Data source: Natural Earth. Software used: QGIS (inspired by this tutorial). Tweet available here.
Data sources: the previous 29 maps. Software used: Illustrator. Tweet available here.
