Juanchi Parra

#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

What I like most about D3 is having complete freedom to do whatever I want based on an idea. Its scales and functions make calculations that can sometimes be complex much simpler.

#30DayMapChallenge | Day 18 - Out of this world

For today's challenge, I created a representation of our solar system (somewhat inaccurate).

Tools: D3

Using R (and R Studio) for the first time was confusing, but I found it impressive in its simplicity. The lines of code required are significantly fewer compared to D3, which also involves HTML and CSS.

D3: 386
R: 81

#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.

Whose Grid Map is better? Quality Metrics for Grid Map Layouts Grid Map has become quite popular lately. However, multiple publishers had already developed slightly different map layouts. How should one…

I enjoy creating grid maps, especially when I can incorporate additional variables and experiment with filling in the squares. I recommend reading this article that discusses their application and the differences between various publishers' versions: kristw.medium.com/whose-grid-m...

#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

Always happy to be able to use D3 and Svelte together

#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

I was curious to see how it would look in 3D, so I took the opportunity to create it

#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

I have to admit, the first few hours using Blender were quite a learning curve!

#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

My main goals are clear:

• To improve my skills with D3 and Svelte.
• To explore using QGIS and Blender.
• To learn and enjoy the process.

By the weekend, I plan to upload the open-source code and create a website where you can view and interact with the maps in high quality

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...