#30daymapchallenge — Public Fediverse posts

@joeldn this is a bit sketchy but there are a couple of examples here:

https://fosstodon.org/@wnd/115484726949074623

(There are bunch more of these at different scale which I should publish in a more structured way.

Also, if you are interested in such things here are some other things in my #Shed for the #30DayMapChallenge
https://anisotropi4.github.io/shed/30daymapchallenge.html)

@bovine3dom

@joeldn this is a bit sketchy but there are a couple of examples here:

https://fosstodon.org/@wnd/115484726949074623

(There are bunch more of these at different scale which I should publish in a more structured way.

Also, if you are interested in such things here are some other things in my #Shed for the #30DayMapChallenge
https://anisotropi4.github.io/shed/30daymapchallenge.html)

@bovine3dom

@joeldn this is a bit sketchy but there are a couple of examples here:

https://fosstodon.org/@wnd/115484726949074623

(There are bunch more of these at different scale which I should publish in a more structured way.

Also, if you are interested in such things here are some other things in my #Shed for the #30DayMapChallenge
https://anisotropi4.github.io/shed/30daymapchallenge.html)

@bovine3dom

@joeldn this is a bit sketchy but there are a couple of examples here:

https://fosstodon.org/@wnd/115484726949074623

(There are bunch more of these at different scale which I should publish in a more structured way.

Also, if you are interested in such things here are some other things in my #Shed for the #30DayMapChallenge
https://anisotropi4.github.io/shed/30daymapchallenge.html)

@bovine3dom

@joeldn this is a bit sketchy but there are a couple of examples here:

https://fosstodon.org/@wnd/115484726949074623

(There are bunch more of these at different scale which I should publish in a more structured way.

Also, if you are interested in such things here are some other things in my #Shed for the #30DayMapChallenge
https://anisotropi4.github.io/shed/30daymapchallenge.html)

@bovine3dom

A map of the world drawn only by the points of populated places, colored by the country (color assigned randomly). The size is log10 of the population * 25000
It would be nice to add a sized legend - maybe after the challenge
Tools - QGIS, Data - naturalearthdata
Source code - https://github.com/SavelevGeo/pop_maps

#30DayMapChallenge #Day1

#30DayMapChallenge Day 24: Places and their names. Here is the same idea expanded to mostly England. I don't have the data, but I would be delighted to see a #Scandinavian or #Baltic friend extend the idea further...

#30DayMapChallenge Day 21: Raster. Bathymetry of the Sound of Raasay and the Inner Sound, also showing the elevation of the Isle of Skye and Applecross Peninsula. I combined #srtm data from NASA and bathymetry data from https://emodnet-bathymetry.eu/ in #qgis. Exported the layout and added the labels in #inkscape. The deep water on the east of Rona shows why the lovely sheltered harbour is on the west of the island.

#30DayMapChallenge Day 20: Outdoors. Our favourite place to be outdoors is Torridon in the North West Highlands of Scotland. Here is a map of the hills around Loch Torridon. Data from #OpenStreetMap and #SRTM. Made in #qgis.

A 3D oblique map of the Baltoro Glacier and the surrounding mountains (including K2 and 3 more 8000ers). I made this map a couple of years ago while experimenting with #blender3d. Map data: #OpenStreetMap #srtm #30DayMapChallenge day 28 #3D.

#30DayMapChallenge - Day 14: A world map
🔱 World Map of Mystical Places
🔮 #MaCarte des lieux Mythiques ✨ (et autres particularités #géographiques)
🌐 #Geozarbie #Mystic
🗺️online #map 🚧 under constuction: https://macarte.ign.fr/carte/n9gf4d/Carte-des-lieux-Mythiques

#30DayMapChallenge - Day 14: A world map
🔱 World Map of Mystical Places
🔮 #MaCarte des lieux Mythiques ✨ (et autres particularités #géographiques)
🌐 #Geozarbie #Mystic
🗺️online #map 🚧 under constuction: https://macarte.ign.fr/carte/n9gf4d/Carte-des-lieux-Mythiques

#30DayMapChallenge - Day 14: A world map
🔱 World Map of Mystical Places
🔮 #MaCarte des lieux Mythiques ✨ (et autres particularités #géographiques)
🌐 #Geozarbie #Mystic
🗺️online #map 🚧 under constuction: https://macarte.ign.fr/carte/n9gf4d/Carte-des-lieux-Mythiques

#30DayMapChallenge - Day 14: A world map
🔱 World Map of Mystical Places
🔮 #MaCarte des lieux Mythiques ✨ (et autres particularités #géographiques)
🌐 #Geozarbie #Mystic
🗺️online #map 🚧 under constuction: https://macarte.ign.fr/carte/n9gf4d/Carte-des-lieux-Mythiques

#30DayMapChallenge - Day 14: A world map
🔱 World Map of Mystical Places
🔮 #MaCarte des lieux Mythiques ✨ (et autres particularités #géographiques)
🌐 #Geozarbie #Mystic
🗺️online #map 🚧 under constuction: https://macarte.ign.fr/carte/n9gf4d/Carte-des-lieux-Mythiques

#30DayMapChallenge 🗺️ Day 2️⃣1️⃣: Conflict

I figured a lot of mappers will create maps about recent wars and conflicts so I decided to create a map about #WorldWarI and see if #Wikidata is a good enough source for its battles, conflicts, and military operations.

I also wanted to know if there are any open data sources for historical borders, and I found one, CShapes! https://icr.ethz.ch/data/cshapes/

🧵 1/2

#battles #MilitaryConflicts #WW1 #WWI #WorldWar1 #GreatWar #MilitaryHistory

This looks like great inspiration + #Data for #30DayMapChallenge from the #GlobalCarbonBudget report... https://fediscience.org/@jhauck/109325411493784530

Whilst we're looking at #OpenStreetMap for day 15 of #30DayMapChallenge I'd like to plug my cousin's multi-decade challenge to capture linguistic details (including geolocation) of 60k Breton place names in Brittany "HLBI Hanoiou-lec’hiou Breiz Izel". https://hlbi.llawern.com/progres-des-prospections/

This is an example of how #OpenStreetMap can help in quite different domains: here a long-term scholarly quest. He has found resources provided by @osm_fr such as #BANO & #Fantoir to be very useful (see caveats in image).

Day 21 #30DayMapChallenge - Football icons of Birmingham Reworked a map from earlier in the challenge to help viewers understand just how iconic a football Birmingham City are... #rstats #dataviz #bcfc #kro

Another great map of the #SalishSea by #WWU professor Aquila Flower:

https://www.linkedin.com/posts/aquilaflower_30daymapchallenge-geography-gis-activity-7131353482325856256-4b-e

#30DayMapChallenge #PNW #Cascadia #maps #cartography #PugetSound #StraitOfGeorgia #StraitOfJuanDeFuca

#30DayMapChallenge Día 24: Only circular shapes

"Cartas de Suelos República Argentina 1:50mil"

#IDE #Suelos #PBA #Pergamino #INTA

#30DayMapChallenge Day 24: Places and their names. Here is another edition extended to the keld, kirk, thwaite and toft elements. #placenames #OldNorse @histodons

For the nineteenth #30MapsInAMonth are a set of map using different coordinate system projections of Natural Earth railway data https://www.naturalearthdata.com/

The four maps represent points on the oblate-spheroid that is the Earth on a surface. The first uses latitude and longitude in °, the rest are in meters. The second is commonly used on the web, the third a projection for Europe and the final is the UK Ordnance Survey map projection.

#rail #WorldMap #NaturalEarth #Coordinates #30dayMapChallenge

#𝟯𝟬𝗗𝗮𝘆𝗠𝗮𝗽𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 - 𝗗𝗮𝘆 𝟮𝟵: 𝗥𝗮𝘀𝘁𝗲𝗿
𝘖𝘚𝘔-𝘣𝘢𝘴𝘦𝘥 𝘓𝘜𝘓𝘊 𝘮𝘢𝘱 of 𝘒𝘢𝘳𝘭𝘴𝘳𝘶𝘩𝘦, 𝘎𝘦𝘳𝘮𝘢𝘯𝘺 2021🛰️🗺️

Satellite imagery shows how our landscapes evolve. In the LaVerDi project, HeiGIT and @BKG combine OSM data with Copernicus Sentinel-2 imagery to make land-use and land-cover monitoring across Germany more precise and responsive.

🔍 More about LaVerDi: https://heigit.org/laverdi/

#OpenStreetMap #OpenData #LULC #Karlsruhe

#30DayMapChallenge Day 6 (Raster):

🏡Land Use & Carbon Emissions🏡

With our plugin for Land Use Land Cover (LULC) Change Emissions Estimation, we can quantify carbon emissions resulting from changes in the land use or land cover within a selected area and time period.

🔎 This map shows how #LULC changes impacted #CarbonEmissions in Heidelberg between 2017 and 2024.

🗺️ Data by #OpenStreetMap/#Esri. Map by Satvik Parashar, modified according to Ulrich et al. (2024, in submission)

I really enjoyed seeing all of the Day 1 toots and data viz! For Day 2, I’m getting out of my comfort zone to explore hydrological data. The map shows streams and reaches from the USGS National Hydrography Dataset (Hydrological Unit 8) in the upper Potomac River Watershed.

#30DayMapChallenge #Day2 #USGS #DMV #map #ArcPro #HUC #HUC8 #NHD #NationalHydrographyDataset #PotomacRiver

#30DayMapChallenge 2023 #day12 - South America Continuing on looking at the Total fertility rate by country in 2021

DataSource: Wikipedia & {idbr} (Analyzing US Census Data book )

Tool: #R

#datascience #maps #rstats #rspatials #tfr #fertility

#30DayMapChallenge – Day 13: 10 minute map Map of the #Mara River Basin made in #QGIS with #HydroSHEDS #opendata and @maptiler.bsky.social #vectortiles. 🎥 Try it for your own catchment: youtu.be/hUgEYKz87gw

#30DayMapChallenge – Day 13: 10 minute map

Map of the #Mara River Basin made in #QGIS with #HydroSHEDS #opendata and @maptiler.bsky.social #vectortiles.

🎥 Try it for your own catchment: https://youtu.be/hUgEYKz87gw

#30DayMapChallenge day 10: Pen & paper
🎨Brush & canvas
Carte de France de la peinture #paysage au XIXe s. 🖼️#impressionnisme🌄#fauvisme🌃#naturalisme🧑‍🎨#Barbizon🖌️ #Macarte 🗺️#mapping
🎨 19th century landscape #painting in France 🇫🇷
🗺️ online #storymap ➡️ https://macarte.ign.fr/carte/137w0v/Le-paysage-au-XIXe-siecle

Population density map of #India 🇮🇳.

On the map, you can see many dark hotspots denoting densely populated cities and towns, mixed in with lighter regions with less people. All major #Indian cities show high population densities, including #NewDelhi, #Kolkata, #Chennai, #Bengaluru, #Hyderabad, and #Mumbai.

I created this map in #python using #matplotlib #geopandas #rasterio packages. For population data, I used the 2022 GHS population grid data.

#30daymapchallenge #datavisualization #dataviz

Population density map of #India 🇮🇳.

On the map, you can see many dark hotspots denoting densely populated cities and towns, mixed in with lighter regions with less people. All major #Indian cities show high population densities, including #NewDelhi, #Kolkata, #Chennai, #Bengaluru, #Hyderabad, and #Mumbai.

I created this map in #python using #matplotlib #geopandas #rasterio packages. For population data, I used the 2022 GHS population grid data.

#30daymapchallenge #datavisualization #dataviz

Population density map of #India 🇮🇳.

On the map, you can see many dark hotspots denoting densely populated cities and towns, mixed in with lighter regions with less people. All major #Indian cities show high population densities, including #NewDelhi, #Kolkata, #Chennai, #Bengaluru, #Hyderabad, and #Mumbai.

I created this map in #python using #matplotlib #geopandas #rasterio packages. For population data, I used the 2022 GHS population grid data.

#30daymapchallenge #datavisualization #dataviz

Population density map of #India 🇮🇳.

On the map, you can see many dark hotspots denoting densely populated cities and towns, mixed in with lighter regions with less people. All major #Indian cities show high population densities, including #NewDelhi, #Kolkata, #Chennai, #Bengaluru, #Hyderabad, and #Mumbai.

I created this map in #python using #matplotlib #geopandas #rasterio packages. For population data, I used the 2022 GHS population grid data.

#30daymapchallenge #datavisualization #dataviz

#30DayMapChallenge : #Fire

The #Volcanic Isles . A brief history of volcanism across The British Isles.

Quite pleased with how this one turned out.

Location of volcanoes taken from wikipedia (spotted a mistake and got to make an edit to wikipedia in the process); fault lines from the #BGS 625k bedrock dataset and the IE GSI 500k Bedrock Geology for Ireland. Font: League-Spartan by the League of Moveable Type.

#requests, #pandas and #geopandas for scraping and wrangling.#scipy for making the proximity surface (that's the colour scheme), #matplotlib for plotting. With all labeling done manually in #inkscape.

EDIT: I've been kindly and helpfully informed that (a) Ben Nevis' age is closer to 399 Ma; (b) some are missing; (c) others perhaps shouldn't be there; (d) it's complicated. So, maybe don't use this map to make any strategic decisions.

#volcanism #volcano #imNotExtinctImDormant #magma #geology #faultlines

#30DayMapChallenge 🗺️ Day 8️⃣: #Africa 🌍

I decided to try something new and create my very first #bivariate #choropleth map! The two variables I’ve mapped for 52 African countries are the 2023 #WorldPressFreedomIndex scores by #ReportersWithoutBorders and the 2022 #HumanDevelopmentIndex by the UN Development Programme.

Unfortunately São Tomé and Príncipe didn’t have a WPFI score while there’s no HDI for Somalia. Of course Western Sahara had no data too.

#HDI #RSF #PressFreedom #WPFI

1/4

Pour clôre le #30DayMapChallenge, retour aux îles Kerguelen avec une carte qui célèbre... les sciences géographiques !

📍 Trouée de la Boussole, Mont du Théodolite et de l'Alidade, Vallée de l'Octant ...et même la presqu'île de la Société de Géographie.

#30daymapchallenge – J30 #Makeover
✍️ Benjamin SAGLIO / Pierre PHILIPPE
📊 Carte IGN de 1972

#30DayMapChallenge 🗺️ Day 3️⃣: Polygons

I went with a classic #choropleth map to keep things simple (and save my energy) and this one shows the population change of the 201 barangays (kinda like wards) of the city of Pasay in the #Philippines 🇵🇭 between the 2000 and 2024 censuses.

https://en.wikipedia.org/wiki/Pasay

The boundaries come from #OpenStreetMap while the population data is from the Philippine Statistics Authority. Map rendering was done using the #D3js library.

#maps #cartography #gischat

For the eleventh #30MapsInAMonth is an animated map of the British rail network showing track occupancy count for passenger train services in hour slices for the week of 18 August 2025.

This is based on the Network Rail centre-line track- or network-model and Common Interface File (CIF) format timetable file published on the Rail Data Marketplace combined with ORR and @openstreetmap location data for timetable points.

#OpenData #30dayMapChallenge #timetable #rail #passenger

My #eBird data. Maps showing my observations of a selection of species with a colour in their common name. The maps inevitably say more about where I have compiled bird lists in the last couple of years than they do about distribution of the birds.
#30DayMapChallenge, Day 4: My data. #qgis

For the twenty ninth #30MapsInAMonth are two visualisations based on the @WorldPopProject 2030 projected population as 100m² raster data. The first shows the population of the Islands of Northern Europe and the second population change.

1/n

#Raster #Population #Beethoven #GBR #IRE #OpenData #30dayMapChallenge

#30DayMapChallenge day 2: Lines 🗺️ Mapped Rotterdam’s watery past through street names with pre- and suffixes like singel, boezem, sloot, vaart, haven, and gedempte. These names trace water infrastructure. Some still flowing, others filled in. Made with #qgis #openstreetmap and #maptiler

#30DayMapChallenge day 2: Lines 🗺️ Mapped Rotterdam’s watery past through street names with pre- and suffixes like singel, boezem, sloot, vaart, haven, and gedempte. These names trace water infrastructure. Some still flowing, others filled in. Made with #qgis #openstreetmap and #maptiler

#30DayMapChallenge day 2: Lines 🗺️ Mapped Rotterdam’s watery past through street names with pre- and suffixes like singel, boezem, sloot, vaart, haven, and gedempte. These names trace water infrastructure. Some still flowing, others filled in. Made with #qgis #openstreetmap and #maptiler

#30DayMapChallenge day 2: Lines 🗺️ Mapped Rotterdam’s watery past through street names with pre- and suffixes like singel, boezem, sloot, vaart, haven, and gedempte. These names trace water infrastructure. Some still flowing, others filled in.
Made with #qgis #openstreetmap and #maptiler #vectortiles
#toponymes #gis #mapping

#30DayMapChallenge day 2: Lines 🗺️ Mapped Rotterdam’s watery past through street names with pre- and suffixes like singel, boezem, sloot, vaart, haven, and gedempte. These names trace water infrastructure. Some still flowing, others filled in.
Made with #qgis #openstreetmap and #maptiler #vectortiles
#toponymes #gis #mapping

#30DayMapChallenge day 2: Lines 🗺️ Mapped Rotterdam’s watery past through street names with pre- and suffixes like singel, boezem, sloot, vaart, haven, and gedempte. These names trace water infrastructure. Some still flowing, others filled in.
Made with #qgis #openstreetmap and #maptiler #vectortiles
#toponymes #gis #mapping

#30DayMapChallenge day 2: Lines 🗺️ Mapped Rotterdam’s watery past through street names with pre- and suffixes like singel, boezem, sloot, vaart, haven, and gedempte. These names trace water infrastructure. Some still flowing, others filled in.
Made with #qgis #openstreetmap and #maptiler #vectortiles
#toponymes #gis #mapping

#30DayMapChallenge day 2: Lines 🗺️ Mapped Rotterdam’s watery past through street names with pre- and suffixes like singel, boezem, sloot, vaart, haven, and gedempte. These names trace water infrastructure. Some still flowing, others filled in.
Made with #qgis #openstreetmap and #maptiler #vectortiles
#toponymes #gis #mapping

#30DayMapChallenge Day 30: Final map
I built upon the map of Day 28. Instead of blue, I used topological colouring of basin polygons blended with the rivers from #HydroSHEDS. The Hammer & Eckert-Greifendorff projection was used to show all continents. Ocean from #MapTiler. Made with #QGIS