Lmst

GeoPandas. Reading and writing files

Map Application Using Python, GeoJSON, and Folium

How to Access Built-In GeoPandas Datasets

Deep dive on pruning: Dewey Dunnington’s latest blog post dives deep into how pruning, the selective reading of relevant data, makes #GeoParquet blazing fast in both local and #cloudnative contexts. Featuring hands-on comparisons across #SedonaDB, #DuckDB, #GeoPandas,...
https://spatialists.ch/posts/2025/12/16-deep-dive-on-pruning/ #GIS #GISchat #geospatial #SwissGIS

QGIS to (Geo)Pandas – part 3

The journey continues: QgsArrowIterator is now merged, making it possible to iterate over QgsFeatures as Arrow batches.

This is where we are now ... http://anitagraser.com/2025/12/03/qgis-to-geopandas-part-3/

#QGIS #GeoPandas #GISChat #SpatialDataScience #Arrow #Python

Fell behind on the making a map thing. Day 27: #Boundaries

The #EquilibriumLine marks the boundary on a #glacier between the accumulation and ablation zones. It moves up and down from year to year with changes in the climate.

Here are the equilibrium line altitudes (#ELA) for Rembesdalskaaka, an outlet glacier of #Hardangerjøkulen ice cap in #Norway.

Data & Sources:
- ELAs: WGMS (2025): Fluctuations of Glaciers (FoG) Database. World Glacier Monitoring Service (WGMS); Zurich; Switzerland. https://doi.org/10.5904/wgms-fog-2025-02b
- outline of Rembesdalskaaka: The #GLIMS Geospatial Glacier Database (Raup et al., doi:10.1016/j.gloplacha.2006.07.018)
- Elevation*: Copernicus Global DEM (30 m)
- Lakes & peaks: #OpenStreetMap

*since the mid-90s Rembesdalskaaka has thinned at ~0.8 m/yr. I have casually ignored that, and just plotted the contours for the ELA on a modern DEM. So the position of the ELAs here, can't really be relied upon. Sorry.

Put together in #matplotlib with the help of #geopandas, #shapely #osmnx with a little of labelling in #Inkscape. #Typeface is Junction by Caroline Hadilaksono & Tyler Finck (League of Moveable Type)

#30DayMapChallenge #maps #glaciology #iWantToGoToNorway #Finse

A topographical map showing the Rembesdalskåka outlet glacier of Hardangerjøkulen ice cap in Norway. Elevation is depicted by gray contours and a colour ramp from dark blue (low) to white (high). Within Hardangerjøkulen, a dashed line denotes the extent of Rembesdalskåka. Across which are several black lines, each one with a year label (from lowest elevation to highest: 1989, 1993, 2000, 1973, 2017, 1991, 1985, 2019, 1966). Around the edge of the ice cap several mountain peaks are labelled. A scale bar in the top right indicates that the whole map is ~20 km across. Several lakes are shown in a dark blue. The title / legend in the bottom left reads: 'Rembesdalskåka
Equilibrium Line'. Credits along the bottom read: 'by:tlohde / Copernicus Global DEM (ESA) / Raup et al., (2007) The GLIMS Geospatial Glacier Database / Fluctuations of Glaciers Database, World Glacier Monitoring Service / OpenStreetMap contributors'

Where are the #vineyards in #Italy?

% of each #hexagon covered by vineyards. Log scale.

Vineyards extracted from #OpenStreetMap; hexagons courtesy of #h3, #geopandas, #cartopy and #matplotlib for everything else.

Typeface: Prociono by the League of Moveable Type. Colormap from Fabio Crameri.

#30dayMapChallenge #wine

A hexbin map showing density of vineyards across Italy. Map is titled 'Dove sono i vigneti?' The color scale goes from white through warm orange to dark red, with tick marks indicating that it is on a log scale. It is labelled Meno (less) and Piu (more). Credits in the bottom left read: 'by:tlohde / © OpenStreetMap contributors / Colormap: Bilbao by Fabio Crameri / Font: Prociono by Barry Schwartz'.

Checking "walk" and "all" networks on #osmnx using data from #OpenStreetMap for #SãoPaulo. #geopandas #shapely Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_11_16
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
https://liberapay.com/Villares
https://wise.com/pay/me/alexandrev562 #Processing #Python #py5 #CreativeCoding

Two maps of downtown São Paulo with green and red networks from osmnx, green is "walk" network, and red is the "all" networks. On the left walk is on top, on the left all is on top and one can see there are segments missing from "all".

#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

Map of the British Isles showing the location of extinct volcanoes (unfilled black circle markers). and bedrock fault lines (orange lines). The coastline is shown in thick black, with a slight drop-shadow. The map is coloured in such that the volcanoes are a bright orange/yellow, and the colour moves to a darker purple with distance from a volcano. The same colour scheme is applied at sea, however with reduced opacity. The title text reads: 'The ~~British~~ Volcanic Isles' with subheading: 'Volcanic activity across the British Isles peaked during the Paleozoic (539 to 252 Ma*), with the last significant eruptions occurring during the Paleogene (66 to 43 Ma). *million years ago'. A few key volcanoes are highlighted: Anton Dohrn Seamount (70-41 Ma); Erlend (58 Ma); Rum (60 Ma); Ben Nevis (299 Ma); Dundee Law (415 Ma); Arthur's Seat (299 Ma); Loch Na Fooey (490 Ma); Mynydd y Dref (450 Ma); Bardon Hill (570 Ma); Warboys (300 Ma); Gurnard's Head (400 Ma)

Made today during class at Sesc with data from #OpenStreetMap using #osmnx #OSM #BSB #geodataframe #geopandas #shapely Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_11_13
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
https://liberapay.com/Villares
https://wise.com/pay/me/alexandrev562 #Processing #Python #py5 #CreativeCoding
UPDATE: moving water (the lake) under the white paths

A fun map of Brasília's central area (Plano Piloto) with all the buildings randomly colored.

while exploring @geopandas docs I learned it has a "explore()" function that creates an interactive #leafletjs map of the #geodataframe #pandas #gis #geodata #gischat #geopandas

https://geopandas.org/en/stable/docs/user_guide/interactive_mapping.html

#openStreetMap #OSM #osmnx #geopandas Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_11_09
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
https://liberapay.com/Villares
https://wise.com/pay/me/alexandrev562 #Processing #Python #py5 #CreativeCoding

Another map of São Paulo with buildings in the central area in orange

So, when is geopolars coming?
maybe I want geonarwhals?

:blob_clown: #pandas #polars #narwhals #python #geopandas #geodata

#OpenStreetMap #osmnx #OSM #geopandas Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_11_08
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
https://liberapay.com/Villares
https://wise.com/pay/me/alexandrev562 #Processing #Python #py5 #CreativeCoding

a map of São Paulo with data from OpenStreetMap, dark background, a smaller square region of the canvas has buildings in light gray.

#SãoPaulo #osmnx #OSM #geopandas #OpenStreetMap Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_11_07
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
https://liberapay.com/Villares
https://wise.com/pay/me/alexandrev562 #Processing #Python #py5 #CreativeCoding

A map of parts of Sâo Paulo with data from OpenStreetMap

@villares@pynews.com.br WIP (missing waterways/rivers/dams) #py5 #osmnx #OpenStreetMap #SãoPaulo #geopandas

map showing São Paulo municipality with some walk network an squares & parks from OpenStreetMap data in limited gray and green colors.

#Astronomy #maps
Sous quel climat vivez-vous ?
Dès l'Antiquité, on définissait les climats comme des bandes géographiques distinctes, selon la durée du jour le plus long de l'année.
Sur l'équateur : 1er climat - durée 12h.
Sud de la France : 7e climat - durée 15h. etc.
À partir du cercle polaire, le jour le plus long dure 24h !

Fun fact : dans l'Antiquité, on ne définissait les climats que jusqu'à la latitude 50° car au-delà on pensait la terre inhabitable 😁

Script #python avec le module #geopandas pour la partie #carto.
En accès libre ici :
https://www.astrolabe-science.fr/sous-quel-climat-vivez-vous/

carte du monde où les terres émergées sont striées de bandes horizontales colorées, avec une légende à droite indiquant, pour chaque bande, la durée du jour le plus long de l'année.

#OpenStreetMap #OSM #geopandas Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_11_04
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
https://liberapay.com/Villares
https://wise.com/pay/me/alexandrev562 #Processing #Python #py5 #CreativeCoding

A map showing a part of São Paulo using data from OpenStreetMap

Back to my map studies... Poly data © OpenStreetMap contributors https://www.openstreetmap.org/copyright #osmnx #OSM #OpenStretMap #geopandas Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_11_03
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
https://liberapay.com/Villares
https://wise.com/pay/me/alexandrev562 #Processing #Python #py5 #CreativeCoding

a colorful map made with OpenStreetMap data

QGIS :qgis: to (Geo)Pandas :python: follow-up:
The conversation around Looking for better ways to convert between QGIS VectorLayer and (Geo)DataFrame is continuing over at https://fosstodon.org/@underdarkGIS/115442614331293320

http://anitagraser.com/2025/10/31/qgis-to-geopandas-follow-up/

#QGIS #GeoPandas #Pandas #GISChat

#GeoPandas

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