Tessera

#30DayMapChallenge | Day 24 - Places and Their Names For today's challenge, I created a map of the highest peaks in Parque Nacional Sierra Nevada in Mérida, Venezuela. Tools: QGIS and Figma

#30DayMapChallenge | Day 21 - Icons For today's challenge, I used personal data from the routes I run and the cats I greet. Tools: QGIS + Figma

#30DayMapChallenge | Day 20 - Water For today's challenge, I created a representation of the Mississippi River in the United States using its digital elevation model and light detection and ranging. Tools: QGIS

#30DayMapChallenge | Day 19 - Projections For today's challenge, I chose to use the “d3.geoAiry” projection for the first time, along with world population data by country. Tools: D3

#30DayMapChallenge | Day 18 - Out of this world For today's challenge, I created a representation of our solar system (somewhat inaccurate). Tools: D3

#30DayMapChallenge | Day 17 - A new tool For today's challenge, I decided to recreate the map from two days ago that shows active fires in Brazil. This time, I made it a hexbin map using R and ggplot2.

#30DayMapChallenge | Day 16 - Cell (Up to Date) For this challenge, I decided to create a grid map displaying the population of the United States by state. Tools: D3

#30DayMapChallenge | Day 15 - Fire For today's challenge, I used data from NASA satellites showing active fires and thermal anomalies in Brazil over the past seven days. Tools: D3

#30DayMapChallenge | Day 14 - OpenStreetMap For today's challenge, I visualized the roads of Barcelona, Spain. Tools: QGIS

#30DayMapChallenge | Day 13 - 10 minute map For today's challenge, I created a polygon representation of the city of Mérida, Venezuela, including the surrounding mountains. This is one of the first effects I learned to implement in QGIS, and it took me about 5:42 minutes to complete. Tools: QGIS

#30DayMapChallenge | Day 12 - 2125 For today's challenge, I imagined what some countries might look like in 2125 Can't you see anything beyond the sea? This scenario could become a reality for some low-lying countries as climate change poses a significant threat to their existence Tools: Figma

#30DayMapChallenge | Day 11 - Minimal map For today's challenge, I visualized the main streets of Caracas. Tools: QGIS + Figma

#30DayMapChallenge | Day 10 - Air For today's challenge, I have mapped the most frequent weekly flight routes from Argentina, Chile, Colombia, and Panama. Tools: D3 and Svelte

#30DayMapChallenge | Day 8 - Urban For today's challenge, I decided to create a map showing the population density of municipalities in Spain. I was surprised to learn that there are two municipalities with only three inhabitants. Tools: QGIS and Figma

#30DayMapChallenge | Day 7 - Accessibility To complete this week, I visualized the proximity of healthcare services in Italy by analyzing road travel times. Tools: QGIS and Figma

#30DayMapChallenge | Day 6 - Dimensions For today's challenge, I created a population density map of Chile. I'm excited to continue improving my skills with QGIS. Tools: QGIS and Aerialod

#30DayMapChallenge | Day 5 - Earth For today's challenge, I transformed a 1963 map from Venezuela's former Ministry of Public Works by incorporating the corresponding elevation and terrain data. Tools: QGIS and Blender

#30DayMapChallenge | Day 4 - My data For today's challenge, I analyzed data from my running activities (14 months) • Activities: 168 • Total hours: 196,9 • Total distance: 1.717,27 kilometers • Average per day: 10,47 kilometers Tools: Strava, Svelte and MapLibre GL JS + CARTO

#30DayMapChallenge | Day 3 - Polygons (up to date) For this challenge, I chose to illustrate the borders of the countries in the European Union. Tools: D3

#30DayMapChallenge | Day 2 - Lines (up to date) For the second challenge, I mapped the rivers and waterways in North America. Tools: QGIS and D3

#30DayMapChallenge | Day 1 - Points (Up to Date) For the first challenge, I represented the geographical distribution of over 15,000 Starbucks locations in the United States. Tools: D3

I'm excited to participate in the #30DayMapChallenge for the first time! The challenge started a few days ago, and due to my limited time and my experiments with Blender, I haven't had the chance to publish my maps yet. While I'm not sure if I'll be able to create all 30 maps...

#30DayChartChallenge | Day 30 - National Geographic For this last challenge, I moved away from the main idea and the prompt, but I liked the result. Very happy to have done all the challenges. For those who want to see the source code: github.com/juanchiparra...

#30DayChartChallenge | Day 29 - Extraterrestrial For today's challenge, I designed my first word cloud, I had the perfect data to do it and didn't want to miss the opportunity. d3-cloud makes it very easy to design. For those who want to see the source code: github.com/juanchiparra...

#30DayChartChallenge | Day 25 to 28 - Risk, Monochrome, Noise and Inclusion Today, it was time to catch up and do the four challenges I had pending. Only two more to go. For those who want to see the source code: github.com/juanchiparra...

#30DayChartChallenge | Day 23 to 24 - Log scale and World Health Organization Me: I can create a minimalist dumbbell plot that maintains readability and presents information more clearly and precisely. Also me: I wonder what it would look like if I designed cigarettes to resemble dumbbell plots.

#30DayChartChallenge | Day 22 - Stars For today's challenge, I decided to try something different and allow myself to experiment. For those who want to see the source code: github.com/juanchiparra...

#30DayChartChallenge | Day 21 - Fossils For today's challenge, I used data from the U.S. Energy Information Administration regarding energy production. For those who want to see the source code: github.com/juanchiparra...

#30DayChartChallenge | Day 17 to 20 - Birds, El País, Smooth and Urbanization Today, it was time to catch up and do the four challenges I had pending. For those who want to see the source code: github.com/juanchiparra...