Jan Fries @[email protected]

monkey do make say think, in random order.

[Nurder Koch @NurderK]

Das muss man sich vorstellen! Um zu veranschaulichen was Windradabstände konkret bedeuten würden,überträgt ein Journalist in einer Karte die strengen Abstandsregeln für Windkraftanlagen von Bayern auf ganz 🇩🇪 und wird vom bayerische Amt für Digitalisierung (LDBV) dafür angezeigt.

[Jan Fries @[email protected] @JanFries9]

Also fascinating how, at the same time, you can get very close to built reality using broad generalisations.
> floor height assumed to be generally 3.5 m
> building height ai-generated from aerial imagery and generalised to 10m squares...

[Jan Fries @[email protected] @JanFries9]

#30DayMapChallenge
Late Day 26: Islands

Although blocks in a city can be very different, they may end up creating a more or less homogenous image if measured by a sole indicator. There might be a bigger lesson hidden close by...

#urbanform #stretchingthetheme

[Jan Fries @[email protected] @JanFries9]

#30DayMapChallenge
Day 12/ 21: Scale/ Kontur data

A scale comparison of every inner-german IBA since 1989. Compared to older ones, they mostly turned into an instrument of regional transformation. Still fascinating how different they really are.

#IBA

[Jan Fries @[email protected] @JanFries9]

#30DayMapChallenge
Day 4/ 11/ 18: Colours Red, Green, Blue

Election results from the federal elections in Germany in 2021, weighted.

I find these quite worrying, because most of these parties aren't serious about climate change - and the blue ones are right-wing extremists...

[Jan Fries @[email protected] @JanFries9]

Also sorry for the heavy use of hex grids - I do love them. Accidentally, I also found an easy way to show just how centralised the public transport in Munich is.

[Jan Fries @[email protected] @JanFries9]

#30DayMapChallenge
Late Day 8: OSM data

I got a bit carried away - what you see here is a rough quality of life indicator built from OSM data. I then checked whether that coincides with high housing prices. Should have balanced it out more, I guess.

#citiesforpeople

[Jan Fries @[email protected] @JanFries9]

The data here is a bit sketchy - as in from different points in time - but the general message should hold up. Of course, I should be happy that most development is happening within settlements (but then there's other problems with how that's done here...)

[Jan Fries @[email protected] @JanFries9]

#30DayMapChallenge
Day 9 - #space
Even though Bavaria does have a "space saving initiative" (which is a toothless tiger), it keeps missing its goal of keeping greenfield development to 5 ha/ day. It's been roughly double for the past years.

#landuse #regionalfood

[Peter Gorman @barelymaps]

Moon Calendar, every day from 2022–2024.
#30DayMapChallenge Day 9 — Space

[Jan Fries @[email protected] @JanFries9]

#30DayMapChallenge
Late day 7: Raster
A (somewhat unfinished) REM of the Weser and Elbe estuaries in Northern Germany. Just because I think it's fascinating and beautiful.

#turningthetide
Thanks for the tutorial to @geo_coe

[Jan Fries @[email protected] @JanFries9]

#30DayMapChallenge
Day 6: Networks
My obsession with transport maps continues :)
Tried to also visualise the directionality of the network, but did not manage yet...

#publictransport #citiesforpeople #radialcity
Thx to @MIERUNE_inc and @transitland

[Jan Fries @[email protected] @JanFries9]

Traffic infrastructure and intensive agriculture keep eating away at it. This is made no easier by the fact that this line connects 5 East German and 4 West German Länder, meaning differing governance regimes across its length.

[Jan Fries @[email protected] @JanFries9]

#30DayMapChallenge
Belated day 4: Green

The former East German border was an opportunity for nature: due to practically nobody being allowed to enter or cross this strip across the country (except for certain points), it became a refuge for rare species by accident.

#rewilding

[Jan Fries @[email protected] @JanFries9]

I've mapped all protected nature areas directly connected to the border, the strip is itself is rather thin for most parts. While it has been put under increasingly severe protection regulations for large parts, it is still consistently under threat:

[Stefan Wagner @waquner]

#30DayMapChallenge Day 3+4: Polygon + Color green

"Parks and Recreation" in Vienna/Austria vs. San Francisco

[Jess Hepburn @JessWhoMaps]

What % of properties are bungalows according to council tax band data?

#30DayMapChallenge | Day 3 Polygons

[Jan Fries @[email protected] @JanFries9]

Courtyards is appropriate only for some types of urban fabric, but so is my approach here :) I think the "yellow one" works almost well enough for traditional blocks. If anyone knows a better approach (for a German context), let me know.

[Jan Fries @[email protected] @JanFries9]

#30DayMapChallenge
Day 3: Polygons

Trying to find a way to map "courtyards" on a large scale that can be automated. Limited to OSM data, since data that would make this simple isn't publicly available here. #opendata #urbanfabric #beatingadeadhorse @MartinBangratz

[Andrea Magarini Pellini @andrea_magarini]

Day 2 of the #30DayMapChallenge - LINES that represent the fluxes of one of the Milan Food Waste Hubs developed by the @FoodPolicyMi together with a wide range of local actors redistributing food surplus from retailers for people in need