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#geopandas

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Alexandre B A Villares 🐍<p>"<a href="https://ciberlandia.pt/tags/Geospatial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Geospatial</span></a> <a href="https://ciberlandia.pt/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> - Full Course for Beginners with <a href="https://ciberlandia.pt/tags/Geopandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Geopandas</span></a>" </p><p><a href="https://www.youtube.com/watch?v=0mWgVVH_dos" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">youtube.com/watch?v=0mWgVVH_dos</span><span class="invisible"></span></a></p><p><a href="https://ciberlandia.pt/tags/folium" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>folium</span></a> <a href="https://ciberlandia.pt/tags/mapclassify" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mapclassify</span></a> <a href="https://ciberlandia.pt/tags/leafmap" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>leafmap</span></a> <a href="https://ciberlandia.pt/tags/OpenstreetMap" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenstreetMap</span></a> <a href="https://ciberlandia.pt/tags/Jupyter" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Jupyter</span></a> <a href="https://ciberlandia.pt/tags/GIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GIS</span></a> <a href="https://ciberlandia.pt/tags/geodataframe" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geodataframe</span></a> <a href="https://ciberlandia.pt/tags/geodataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geodataviz</span></a></p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p>Something going on with <a href="https://fosstodon.org/tags/geopandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geopandas</span></a> on <a href="https://fosstodon.org/tags/Windows" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Windows</span></a> today that broke <span class="h-card" translate="no"><a href="https://fosstodon.org/@movingpandas" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>movingpandas</span></a></span> unit tests? <a href="https://github.com/movingpandas/movingpandas/actions/runs/14266650165/job/39992053542" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/movingpandas/moving</span><span class="invisible">pandas/actions/runs/14266650165/job/39992053542</span></a></p><p><a href="https://fosstodon.org/tags/gischat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>gischat</span></a></p>
Tatu Leppämäki<p>Thank you to <a href="https://mstdn.social/tags/Kone" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Kone</span></a> &amp; Mai and Tor Nessling Foundations for supporting this work. A quantitative work like this would not be possible without a robust suite of FOSS tools. My thanks to the maintainers of <a href="https://mstdn.social/tags/QGIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>QGIS</span></a>, <a href="https://mstdn.social/tags/pandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pandas</span></a>, <a href="https://mstdn.social/tags/geopandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geopandas</span></a>, <a href="https://mstdn.social/tags/duckdb" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>duckdb</span></a>, <a href="https://mstdn.social/tags/dask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dask</span></a>, <a href="https://mstdn.social/tags/statsmodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statsmodels</span></a>, <a href="https://mstdn.social/tags/jupyter" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>jupyter</span></a> and many more!</p>
tlohde<p>Seeking recommendations for a <a href="https://fediscience.org/tags/WebMapping" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>WebMapping</span></a> tutorial / course?</p><p>Slightly at sea on where to start.</p><p>- My current JS skill level is _extreme novice_.<br>- I don't have access to ArcGIS.<br>- Comfortable with <a href="https://fediscience.org/tags/QGIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>QGIS</span></a> [*] and the <a href="https://fediscience.org/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://fediscience.org/tags/geospatial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geospatial</span></a> ecosystem (<a href="https://fediscience.org/tags/geopandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geopandas</span></a> <a href="https://fediscience.org/tags/xarray" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>xarray</span></a> <a href="https://fediscience.org/tags/rasterio" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rasterio</span></a> and plotting with <a href="https://fediscience.org/tags/matplotlib" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>matplotlib</span></a>)</p><p>Suggestions welcome. TIA. 👍 </p><p>* I have looked at the qgis2web plugin, but having some issues associated with my aged laptop (2012 mbp running Ubuntu) and a 'Wayland session'.</p><p><a href="https://fediscience.org/tags/Leaflet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Leaflet</span></a> <a href="https://fediscience.org/tags/OpenLayers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenLayers</span></a> <a href="https://fediscience.org/tags/MapBox" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MapBox</span></a> <a href="https://fediscience.org/tags/PrototoMaps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PrototoMaps</span></a> <a href="https://fediscience.org/tags/MapLibre" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MapLibre</span></a> <a href="https://fediscience.org/tags/d3js" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>d3js</span></a> <a href="https://fediscience.org/tags/OpenStreetMap" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenStreetMap</span></a> <a href="https://fediscience.org/tags/GIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GIS</span></a></p>
seeg<p><a href="https://www.jmspae.se/write-ups/kebabs-train-stations/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">jmspae.se/write-ups/kebabs-tra</span><span class="invisible">in-stations/</span></a></p><p><a href="https://toot.whatever.cz/tags/Kebab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Kebab</span></a> quality <a href="https://toot.whatever.cz/tags/analysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>analysis</span></a> using <a href="https://toot.whatever.cz/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://toot.whatever.cz/tags/geopandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geopandas</span></a> <a href="https://toot.whatever.cz/tags/Paris" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Paris</span></a> <a href="https://toot.whatever.cz/tags/food" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>food</span></a> <a href="https://toot.whatever.cz/tags/science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>science</span></a></p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p>📚 Geocomputation with Python copies have arrived 🤩</p><p>Somehow, things feel much more real if you can touch them.</p><p>Fun fact: the cover was designed in <a href="https://fosstodon.org/tags/QGIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>QGIS</span></a>. Speaking of going full circle ...</p><p><a href="https://fosstodon.org/tags/GISChat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GISChat</span></a> <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> <a href="https://fosstodon.org/tags/GeoPandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GeoPandas</span></a></p>
:rss: Qiita - 人気の記事<p>Uberの作った「H3インデックス」とGeoPandasを利用してOverture Mapsの可視化と地理空間解析してみる!<br><a href="https://qiita.com/nokonoko_1203/items/ce8937489121b69710e5?utm_campaign=popular_items&amp;utm_medium=feed&amp;utm_source=popular_items" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">qiita.com/nokonoko_1203/items/</span><span class="invisible">ce8937489121b69710e5?utm_campaign=popular_items&amp;utm_medium=feed&amp;utm_source=popular_items</span></a></p><p><a href="https://rss-mstdn.studiofreesia.com/tags/qiita" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>qiita</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/GIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GIS</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/QGIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>QGIS</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/geopandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geopandas</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/H3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>H3</span></a></p>
Benoît Bovy<p>The development was supported by NumFOCUS (small development grant for the <a href="https://fosstodon.org/tags/GeoPandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GeoPandas</span></a> project). A lot of the credit goes to <span class="h-card" translate="no"><a href="https://fosstodon.org/@jorisvandenbossche" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>jorisvandenbossche</span></a></span> and <span class="h-card" translate="no"><a href="https://fosstodon.org/@paleolimbot" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>paleolimbot</span></a></span> (through S2Geography). Also many thanks to the new contributors!</p><p><a href="https://github.com/benbovy/spherely" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/benbovy/spherely</span><span class="invisible"></span></a></p><p>Joris is going to give a talk about it next week at the GeoPython conference in Basel. If you go there, don’t miss it!</p><p><a href="https://2025.geopython.net/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">2025.geopython.net/</span><span class="invisible"></span></a></p>
David ALBERTO<p>Une carte complètement inutile, donc indispensable. À quelle latitude le Soleil survole-t-il le plus de terres émergées ?<br><a href="https://astrodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> <a href="https://astrodon.social/tags/Geopandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Geopandas</span></a><br><a href="https://astrodon.social/tags/maps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>maps</span></a> <a href="https://astrodon.social/tags/TeamCarto" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TeamCarto</span></a></p>
Sascha Wycisk<p><a href="https://muenster.im/tags/M%C3%BCnster" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Münster</span></a> stellt <a href="https://muenster.im/tags/Opendata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Opendata</span></a> zur Verfügung. Was ziemlich cool ist.<br>Mit ein wenig <a href="https://muenster.im/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> und <a href="https://muenster.im/tags/pandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pandas</span></a> bzw. <a href="https://muenster.im/tags/geopandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geopandas</span></a> und der Hilfe von <a href="https://muenster.im/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChatGPT</span></a> kann man dann zum Beispiel die durchschnittliche Modulleistung der PV Installationen je Postleitzahl visualisieren 😃</p>

Geospatial Python 🐍 - Full Course for Beginners with GeoPandas 🐼
--
youtu.be/0mWgVVH_dos?si=KHenBn <-- shared video tutorial
--
moderngis.xyz/courses/geopanda <-- shared course files
--
[sharing of this course should not – necessarily - be considered as an endorsement]
#GIS #spatial #mapping #tutorial #onlinelearning #free #training #python #geopandas #pandas #beginners #video #videotutorial #workflows #automation #spatialanalysis #spatialdata #DuckDB #leafmap #lonboard #certification

"R⁵py is a #Python library for rapid realistic routing on multimodal transport networks (walk, bike, public transport, and car). It provides a simple and friendly interface to R⁵, the Rapid Realistic Routing on Real-world and Reimagined networks, a routing engine developed by Conveyal. #r5py is inspired by r5r, a wrapper for R, and it is designed to interact with #GeoPandas #GeoDataFrames."

r5py.readthedocs.io/en/stable/

via @waeiski

r5py.readthedocs.ioR⁵py – rapid realistic routing with Python

day 24: #only_circular_shapes

Encircled Iceland Incircles.

The biggest circle that fits inside of Iceland (an "incircle") (in UTM), and the next biggest that doesn't overlap the first, and the next biggest and so on...

en.wikipedia.org/wiki/Incircle

method implemented similar to that of Garcia-Castellanos & Lombardo 2008 doi.org/10.1080/14702540801897

colors are that of the Icelandic flag

coastline from Natural Earth. plotting with #matplotlib #shapely #cartopy #geopandas

Day 23: #Memory Lanes

or: the northwest seems closer.

had great fun doing this / got a bit carried away.

drew the roads (and some points of interest) from the corner of the world i grew up in. then paired the remembered locations with their actual positions to make some unnecessary figures.

#OpenStreetMap for reality. #matplotlib for plotting. #geopandas and #shapely for everything else.

slightly more detail, but not much more, here: tlohde.blog/2024/11/23/memory-