Reforesta: Ugly Data Sweater

The fires in Spain devastated over 300,000 hectares in 2022, making this the year when the largest area of forest of the past 25 years went up in flames. To prevent the 2022 forest fire data from being forgotten, and remind us that we need to take care of forests all year round, Proximity, experts in data and how to use them to generate creative ideas, has taken advantage of the Christmas season - and more specifically, a global icon of this time of year, i.e. the typical Christmas jumper - to launch the “Ugly Data Sweater” initiative, along with the NGO Reforesta. A Christmas jumper with a message, where the snowflakes are fire, the fir trees have been burned to ashes and the reindeer are fleeing from the flames. Nothing is random in this sweater. Each of the decorative elements that appear in the jumper has been designed based on the data surrounding the forest fires that occurred in Spain over 2022:
- The relief of the mountains represents a graph showing the evolution of forest fires in Spain over the past decade.
- 9 matchsticks mark the 9 out of 10 fires that are estimated to be caused by humans.
- 10 fir trees, 5 of which have been burned, reflect that fact that provinces like Zamora or León have seen half of their woodlands go up in flames.
- Several decorative borders comprised of 463 dots mark the number of fires of more than 30 hectares that occurred in the country according to the European Forest Fire Information System, of which 55 were Large Forest Fires.
- And a reindeer vanishes from the sweater, to remind us of the thousands of animal lives that were lost, about which no data even exist.
All these data can be read by scanning the sweater directly using the Instagram filter “Ugly Data Sweater”. The jumper is a limited edition sweater that can be purchased through the website www.uglydatasweater.com for 35 Euros. And all of the profits will be sent to Reforesta, a not-for-profit organisation created in 1991 and declared of public interest which works towards the conservation of nature and the recovery of our forests.