# world qgis lines eta hurricane rstats tableau

~ Green & Yellow

For the 7th and 8th entries, I visualised observations of whales around the world and soybean production by country
The dataset about the🐳is quite interesting, I would have liked to work more with it. I had to rush to avoid falling behind😂

2 18
2020-11-09

I'm a few days behind on but I'm trying to catch up! I'll keep it simple.

~ Blue: global distribution of cold-water coral

~ Red: global distribution of coral reefs

Data from

7 50
2020-11-08

- 05 - Blue

Un peu de géologie (et un peu d'Arctique, ça faisait longtemps :D)

Données : https://t.co/rcPmDnhC0T & Wikipédia pour les termes

5 27
2020-11-05

3. Polygons: countries as bounding boxes – looks a bit like the Death Star 🤪 Already posted one map today but I was preparing for tomorrow’s workshop and by accident created this, and it is just sooo fitting for the polygon theme, so I had to post it 😆

2 79
2020-11-04

day 3 – polygons.

Voronoi polygons showing the nearest (linear distance) tube station for each point in London.

Data: ©OpenStreetMap contributors
Tool: QGIS

7 22
2020-11-03

Day 2: lines

I used data from and to visualise global railways. I think the data comes from OpenStreetMap, the American Digital Cartography and Global Discovery.

More info in https://t.co/3MNh9EKe0r

12 64
2020-11-03

Named storms of the 2020 Atlantic hurricane season.


How it started: How it's going:

12 37
2020-11-03

For I made 1 map on each day of November. You can find all of them in this thread, or with some more context on https://t.co/Rxq7W35yiD Thanks to all 30DayMappers, you were amazing! https://t.co/c1ndr9oyZ0

45 217
2019-12-02

nr 30 (home): A map I've been wanting to make for a long time. Places I've called home throughout my life (circles) seemed connected to the river Demer (blue) and the E314 highway (pink). Looking at the map now, they definitely are

1 9
2019-11-30

nr 29 (experimental): All 589 Belgian municipalities mapped on top of each other, variations

3 21
2019-11-30

Day 9 - Yellow (I know it's 24th...)
I visualized the CERA dataset from that lists Spaniards that are living abroad :) I consider it a personal dataset because I'm part of it

4 17
2019-11-25

Airport structures for on built-environment theme 1/2

26 194
2019-11-22

Day 22 of – Built Environment:

Auckland CBD

8 80
2019-11-22

nr 17 (zones): some 820.000 Belgians live less than 20km away from the Doel nuclear power plant (not counting the Dutch to the north). Squares = 1x1km with pop > 500, Antwerp city center in lower right corner

1 12
2019-11-18

nr 12 (movement): how far can I get in 1 hour by car, by public transport and by bike? Very easy to make with https://t.co/wI4KcThwek

0 17
2019-11-12

nr 11 (elevation): The Terrils of Flanders (that's how we call spoil tips or slag heaps here)
Very pleased with these ones

4 44
2019-11-11

Day10: black & white. A simple dot density map (first one for me) of dairy cows in NZ (which are sometimes b&w:). Made with st_sample() from {sf} package visualized in

7 48
2019-11-11

nr 9 (yellow): a yellow map of the Belgian municipality of Geel, which means "yellow" in Dutch 😎 https://t.co/tJ6U6ODxI7

0 14
2019-11-09

briefly joining the party on a friday night 😊. been playing with 3D, overlayed colormaps for visualizing GFS cloud cover data.

3 26
2019-11-09