Third Week Progress of the 30-Day Map Challenge
The annual #30DayMapChallenge, a month-long event for the spatial, cartography, and data visualization community, is now in its third week. With ten more days to go, participants are delving into various thematic prompts and creating insightful maps using a variety of geographic data sources and tools.
During this year's third week, participants have been utilising an array of resources such as Python, OpenStreetMap, Natural Earth, Comtrade, World Climate data, ESA's Sentinel satellite data, and the Sentinel API to craft maps that demonstrate the power of creative, data-driven cartography.
One example of this week's creations involves the use of Python for processing and visualising spatial data programmatically, often with libraries like Matplotlib, Folium, or Geopandas to create thematic or interactive maps. OpenStreetMap has served as a base map or a source of detailed geographic features, while Natural Earth offers country boundaries and physical features at multiple scales to create clean, small-scale maps.
Comtrade provides international trade data, which has been used to visualise economic flows between countries, and World Climate data has been employed for climate-related visualisations. ESA's Sentinel data and Sentinel API have allowed for the incorporation of satellite imagery or derived data like vegetation indices or land use, adding a remote sensing component to the maps.
The #30DayMapChallenge fosters an environment where participants experiment with open geographic data and tools, resulting in a diverse range of maps each day. While specific detailed descriptions or images from this year's third week may be found in individual blog posts or shared social media galleries, the essence of the challenge is the exploration and application of various data sources and techniques to create insightful maps for each daily theme.
For those seeking detailed examples or code snippets, many participants share their projects on platforms like GitHub, Twitter, or blogs linked to the #30DayMapChallenge hashtag.
In addition to the maps created this week, the participant also showcased a map visualization of Manhattan's road network in just five minutes, an animation of Upsala Glacier, Argentina, using ESA's Sentinel data, and a Star Wars-inspired line plot of the coastline created using Matplotlib in Python.
The #30DayMapChallenge is an annual event in the Geographic Information System (GIS) and spatial analytics community, taking place each November. This year's challenge proposes a thematic schedule for map visualisation each day, encouraging participants to push the boundaries of their cartography skills and explore new techniques.
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