gontsa, to random Ukrainian

Day 17: Flow
#30DayMapChallenge
Ukraine refugee situation

hrbrmstr, to random
@hrbrmstr@mastodon.social avatar

So, there's no way I'm gonna get a WPE Drop in today, which means the Bonus Drop will be for all subscribers.

What I can Drop today is a fully working example of a single-#Quarto doc #RStats #WebR {sf} entry into the #30DayMapChallenge for Day 14 (Europe).

What you'll see at the URL (https://30dmc.hrbrmstr.dev/2023/day-14.html) & in the attached is 100% WebR, {sf} & {ggplot2} —apart from a JS fetch() to get the Europe GeoJSON.

View source or tap the GitLab icon for code.

First visit is slower than re-visits.

seav, (edited ) to Philippines
@seav@en.osm.town avatar

#30DayMapChallenge 🗺️ Day 1️⃣7️⃣: Flow

This map might actually fit under Day 4️⃣: A bad map!

Anyway, I wanted to do something different and see if I can (ab)use the #Wikidata Query Service to render a map. So I created a SPARQL query to display all of the domestic routes flown by PAL Express, Cebu Pacific, and Cebgo, three of the most popular low-cost airlines in the #Philippines 🇵🇭. Each route between two airports are color coded depending on which airline(s) fly the route.

#avgeek #aviation

1/3

terence, to random
@terence@fosstodon.org avatar

One more for #30DayMapChallenge: Day 17: Flow. The world's shipping lanes.

#rayshader adventures, an #rstats tale

geum, to random French

#30DayMapChallenge jour 17 : Flow

Dordogne, Aveyron, Lot, Garonne coulent vers l'ouest.

Encore du QGis+time-manager+python. Je partagerais bien les expressions utilisées, mais je n'arrive pas à bien me relire, ni simplifier ni déboguer, 1 an après avoir écrit tout ça... c'est terrible.

Flow

terence, to random
@terence@fosstodon.org avatar

#30DayMapChallenge: Day 17: Flow. Rivers over shaded relief of Switzerland.

#rayshader-#rayvertex adventures, an #rstats tale

video/mp4

geomenke, to random

Day 17: Flow
Initial results of an analysis to model potential omnidirectional connectivity for biodiversity in the US portion of the Lake Superior region. Omniscape was used to model flow...how highly biodiverse areas are connected. Cartography in

SK53, to worldwithoutus
@SK53@en.osm.town avatar

I think someone else struggled with reefs, atolls were also a real hodgepodge, so this map for day 1️⃣ 6️⃣ of #30DayMapChallenge is more useful as a guide for cleaning data up in #Oceania than anything else.

I'd love to do a legend with overlapping circles to show the size (see @seav's map today), but have no idea how to do that in #QGIS (or even what the technique is called)

zoom_earth, to random
@zoom_earth@mapstodon.space avatar

2 months of Australian bushfires and smoke. Made by Peter Atwood for #30DayMapChallenge. 4K version: https://www.youtube.com/watch?v=IxPYYKMudOE

video/mp4

fgazzelloni, to datascience

2023 Oceania

Population Peaks: Exploring Oceania's Cities

DataSource: Wikipedia

Tool: #R

lostmapper, to Wikipedia

I'm trying to find a dataset of the Moai statues on Rapa Nui (Easter Island) for #30DayMapChallenge's Day 16 - Oceania.

#Wikipedia says there's over 1000 of them but #OpenStreetMap only shows around 667.

There's https://www.eisp.org/category/archaeology/moai-inventory/ but they don't seem to have data online anywhere.

terence, to random
@terence@fosstodon.org avatar

Another one for #30DayMapChallenge, Day 16: Oceania. Wastewater treatment plants of Oceania. This was the backup in case I decided to chuck the coral reefs attempt.

Just passed the halfway mark—running out of ideas that work.

#rayshader adventures, an #rstats tale

terence, to random
@terence@fosstodon.org avatar

#30DayMapChallenge, Day 16: Oceania. Warm-water coral reefs of Oceania. Not what I had in mind but this will have to do. Struggled for too long across three OSes; had to give up and move to plan D.

#rayshader adventures, an #rstats tale

seav, (edited ) to worldwithoutus
@seav@en.osm.town avatar

#30DayMapChallenge 🗺️ Day 1️⃣6️⃣: #Oceania 🌏

A sad chapter in the history of Oceania are the hundreds of nuclear tests that have been conducted by the #UnitedStates 🇺🇸, the #UnitedKingdom 🇬🇧, and #France 🇫🇷. This map shows the locations in #Australia 🇦🇺, the #MarshallIslands 🇲🇭, #Kiribati 🇰🇮, and #FrenchPolynesia 🇵🇫 where these three nations have detonated nuclear devices along with estimated yields in kilotons of TNT equivalent. #Hiroshima and #Nagasaki are also shown for comparison.

#NuclearWeapons

1/2

felt, to random
@felt@mas.to avatar

#30DayMapChallenge
Day 15 - OpenStreetMap
Number of libraries per state in the US.
To create this, we simply used Felt's new Count Points transformation tool to count OSM library data points located within state polygons. Labeled the new layer with point count. @openstreetmap

video/mp4

geomenke, to random

Day 14/15: Europe/OSM
A map of Europe using topological coloring & some expression based stipling around the polygon perimeters combined with a shapeburst fill to give it that historic look.

DataAngler, to random
@DataAngler@vis.social avatar

For Day 1 of #30DayMapChallenge, I mapped 9 of the schools for Black children in northern Delaware when Delaware--there were more than 80 throughout the state when the state enforced racial segregation in schools. #rstats

Code: https://github.com/bardolater/30DayMapChallenge/blob/main/2023/01_Points

DataAngler,
@DataAngler@vis.social avatar

For Day 10 of #30DayMapChallenge (North America) I have a simple map of total #COVID19 vaccination doses administered in the contiguous 48 states. #rstats

Code: https://github.com/bardolater/30DayMapChallenge/blob/main/2023/10_NorthAmerica.R

awoodruff, to random
@awoodruff@mapstodon.space avatar

I’ll attempt the #30DayMapChallenge this year! I plan to use it for the personal challenge of trying something—even if it’s a tiny something—I’ve rarely or never done before, be it a map style, a GIS function, or whatever else. Perhaps I’ll document those things at the end, but meanwhile…

awoodruff,
@awoodruff@mapstodon.space avatar

Day 15, OpenStreetMap. Just taking it easy today with some very important stuff from OSM. #30DayMapChallenge

awoodruff,
@awoodruff@mapstodon.space avatar

Day 16, Oceania. Avert your eyes from this dizzying video speeding through maps of some 16,000 islands in the Pacific, based on land polygons in OpenStreetMap. (So, y’know, ©OpenStreetMap contributors.) #30DayMapChallenge

Video rapidly progressing through simple green and blue maps of islands in the Pacific

awoodruff,
@awoodruff@mapstodon.space avatar

Day 17, Flow. Taking it easy again by generating another one of these feathery terrain things that I’ve done a million times already, since they are essentially crude models of hydrologic flow. #30DayMapChallenge

sig_uca, to guatemala Spanish

Students of the Data Visualization subject at UCA are participating in the #30daymapchallenge. Each day, a map created by a different student will be published.

Day 1: Points
Author: Altagracia Villegas

Touristic places of Guatemala & Mountains of El Salvador
Data 📁: MapCruzin/GADM
Tool ⚙️: #QGIS :qgis:

#Guatemala #ElSalvador #QGIS #30DayMapChallenge

sig_uca,

Day 12: South America
Author: Karla Moreno

Airports and ports of South America
Data 📁: Natural Earth
Tool ⚙️: #QGIS :qgis:

#30DayMapChallenge

sig_uca,

Day 14: Europe
Author: Katherine Castellanos

Roads in Europe
Data 📁: Natural Earth
Tool ⚙️: #QGIS :qgis:

#30DayMapChallenge

sig_uca,

Day 15: OpenStreetMap
Author: Eduardo Colocho

Streets in #Panama City
Data 📁: #OpenStreetMap
Tool ⚙️: #QGIS :qgis:

#30DayMapChallenge

sig_uca,

Day 16: OpenStreetMap
Author: Sophia Pérez

Lakes, river and ports in Australia, Oceania.
Data 📁: Natural Earth
Tool ⚙️: #QGIS :qgis:

#30DayMapChallenge

sig_uca,

Day 17: Flow
Author: Madeline Recinos

Streets of Santa Tecla, El Salvador

#SantaTecla #ElSalvador

Data 📁: Centro Nacional de Registros (CNR) El Salvador
Tool ⚙️: #QGIS :qgis:

#30DayMapChallenge

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