Work in progress... #OpenStreetMap data as usual #osmnx Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_03_12
More sketch-a-day: https://abav.lugaralgum.com/sketch-a-day
If you like this, support my work: https://www.paypal.com/donate/?hosted_button_id=5B4MZ78C9J724 #Processing #Python #py5 #CreativeCoding

It is super cool to be listed as a "contributor" for having chimed in (constructively) on a project's issue :D

https://github.com/nathanrooy/taxicab/releases/tag/v0.1.1

#taxicab is a library that improves on #OSMnx route-finding function, giving more useful results, specially on short routes.

Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_02_27
More sketch-a-day: https://abav.lugaralgum.com/sketch-a-day
If you like this, support my work: https://www.paypal.com/donate/?hosted_button_id=5B4MZ78C9J724

Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_02_26
More sketch-a-day: https://abav.lugaralgum.com/sketch-a-day
If you like this, support my work: https://www.paypal.com/donate/?hosted_button_id=5B4MZ78C9J724
#OSMnx #OpenStreetMap #shapely #Processing #Python #py5 #CreativeCoding

#SãoPaulo
Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_02_24
More sketch-a-day: https://abav.lugaralgum.com/sketch-a-day
If you like this, support my work: https://www.paypal.com/donate/?hosted_button_id=5B4MZ78C9J724
#shapely #osmnx #OpenStreetMap
Poly data (c) OpenStreetMap contributors https://www.openstreetmap.org/copyright
#Processing #Python #py5 #CreativeCoding

Latest episode: #OSMnx - #Python and #OpenStreetMap with
@gboeing and @mkennedy

https://talkpython.fm/episodes/show/495/osmnx-python-and-openstreetmap

#OSMnx Principales caracteristicas del paquete de #Python para descargar, modelar, analizar y visualizar fácilmente características geoespaciales de #OpenStreetMap https://medium.com/@kaxtillo/osmnx-caracteristicas-3b8e61d9f256

I recently moved house, so I didn’t have time to take part in #30DayMapChallenge in November. Now that I’m getting settled, I want to start exploring my new neighbourhood and get back to mapping.

So here is Day 1 - Points showing council maintained trees in Abbey Wood, southeast London.

Made in #python #matplotlib. Basemap data from #OpenStreetMap via #OSMnx (finally updated to v2.0). Tree data for London is available in the London Datastore.

Code: https://github.com/Lisa-Ho/30-day-map-challenge/tree/main/2024

#OSMnx 2.0.0 has just been released! https://osmnx.readthedocs.io/en/stable/

day 22: 2 colours.

is #halftone cheating?

the Lake District with halftone topography taken from Copernicus Global DEM and lakes and rivers from #OpenStreetMap

#30DayMapChallenge Day 19: #typography

Bit fiddly this one. But reasonably happy with it.

Data from #OpenStreetMap via #osmnx
fonts used: water splash (https://www.fontspace.com/water-splash-script-font-f89646); Engravers MT; DejaVu Sans Mono; Bauhaus 93.

all done in #python with #matplotlib #geopandas and #shapely

Nom.

https://fediscience.org/@tlohde/113412191058419280
@tlohde - Croissant Distribution

or, where am I most likely to have my next croissant, assuming (something something) independence from my previous croissant. ^k * e^(-) / k!
--
2d kernel density estimation of the location of bakeries (blue) and farms (red) across France.

Locations taken from OpenStreetMap, with #osmnx & plotted with #matplotlib & #seaborn. font: Borel, by Rosalie Wagner.

#30DayMapChallenge Day 2: Lines

Croissant Distribution

or, where am I most likely to have my next croissant, assuming (something something) independence from my previous croissant. ^k * e^(-) / k!
--
2d kernel density estimation of the location of bakeries (blue) and farms (red) across France.

Locations taken from OpenStreetMap (considered paying attention to the size of the farm, but didn't), with #osmnx & plotted with #matplotlib & #seaborn. font: Borel, by Rosalie Wagner.

#30DayMapChallenge Day 2: Lines

work in progress ... #osmnx
data (c) OpenStreetMap contributors
https://www.openstreetmap.org/copyright Code at: https://github.com/villares/sketch-a-day/tree/main/2024/sketch_2024_07_19
More sketch-a-day: https://abav.lugaralgum.com/sketch-a-day
I really need your support to keep going, if you can, donate any amount at: https://www.paypal.com/donate/?hosted_button_id=5B4MZ78C9J724 #Processing #Python #py5 #CreativeCoding

#osmnx sur #rouen, en rose les voies probablement à 30km/h, en vert celles qui ont été renseignées à 30km/h.

petit essai avec #osmnx pour tenter d'inférer les maxspeed des routes, ici en rose dans la ville de dieppe on suppose que la vitesse max est de 30km/h.

Calculating different #centrality measures for a street #network takes longer than expected.

#DegreeCentrality is calculated in a few milliseconds. But oh boy. #ClosenessCentrality and #BetweennessCentrality are proper whoppers. For a network of 65 000 nodes, we're talking about 2+ hour calculation times for the closeness centrality, not to mention the betweenness.

Apparently switching to #igraph would provide a speed boost over #networkx but the convenience of #osmnx has won me over.