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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>
Towards Data Science<p>Struggling with slow GIS processing? Tony Albanese's article demonstrates a lightning-fast method for generating transects using <a href="https://hachyderm.io/tags/Geopandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Geopandas</span></a> and <a href="https://hachyderm.io/tags/Polars" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Polars</span></a>, reducing processing time from days to seconds. </p><p><a href="https://towardsdatascience.com/harnessing-polars-and-geopandas-to-generate-millions-of-transects-in-seconds-d37b176a0b57/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">towardsdatascience.com/harness</span><span class="invisible">ing-polars-and-geopandas-to-generate-millions-of-transects-in-seconds-d37b176a0b57/</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>
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>
EOMasters<p>𝗚𝗲𝗼𝘀𝗽𝗮𝘁𝗶𝗮𝗹 𝗣𝘆𝘁𝗵𝗼𝗻 𝗧𝘂𝘁𝗼𝗿𝗶𝗮𝗹𝘀 <br>SpatialThoughts provides tutorials which cover a broad range of geospatial topics and technologies, e.g., <a href="https://mastodon.green/tags/GeoPandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GeoPandas</span></a>, <a href="https://mastodon.green/tags/XArray" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>XArray</span></a>, <a href="https://mastodon.green/tags/dask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dask</span></a>, and more. Each technology is described in a notebook with step-by-step explanation. Check it out.<br><a href="https://www.geopythontutorials.com" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">geopythontutorials.com</span><span class="invisible"></span></a></p>
Spatialists<p>Python <a href="https://mapstodon.space/tags/uv" class="mention hashtag" rel="tag">#<span>uv</span></a>: uv by <a href="https://mapstodon.space/tags/Astral" class="mention hashtag" rel="tag">#<span>Astral</span></a> (also behind Ruff) is a new-ish <a href="https://mapstodon.space/tags/Python" class="mention hashtag" rel="tag">#<span>Python</span></a> project management tool that you may have already heard praise about. uv simplifies environment and dependency management for Python (truly, finally) and is blazingly fast, thus potentially streamlining also geospatial workflows reliant on libraries such as <a href="https://mapstodon.space/tags/GeoPandas" class="mention hashtag" rel="tag">#<span>GeoPandas</span></a>, <a href="https://mapstodon.space/tags/rasterio" class="mention hashtag" rel="tag">#<span>rasterio</span></a> and the like.<br /><a href="https://spatialists.ch/posts/2025/02-20-python-uv/" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">spatialists.ch/posts/2025/02-2</span><span class="invisible">0-python-uv/</span></a> <a href="https://mapstodon.space/tags/GIS" class="mention hashtag" rel="tag">#<span>GIS</span></a> <a href="https://mapstodon.space/tags/GISchat" class="mention hashtag" rel="tag">#<span>GISchat</span></a> <a href="https://mapstodon.space/tags/geospatial" class="mention hashtag" rel="tag">#<span>geospatial</span></a> <a href="https://mapstodon.space/tags/SwissGIS" class="mention hashtag" rel="tag">#<span>SwissGIS</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>
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>
Dr. Sarah Kaiser<p><span class="h-card" translate="no"><a href="https://mas.to/@christyheaton" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>christyheaton</span></a></span> kicks us off at <a href="https://mathstodon.xyz/tags/pycascades2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pycascades2025</span></a> by talking about how to make hiking maps with <a href="https://mathstodon.xyz/tags/pyscript" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pyscript</span></a>, <a href="https://mathstodon.xyz/tags/geopandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geopandas</span></a>, and <a href="https://mathstodon.xyz/tags/streamlit" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>streamlit</span></a> 🥾🚶⛰️<br><a href="https://mathstodon.xyz/tags/pycascades" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pycascades</span></a> <a href="https://mathstodon.xyz/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a></p>
Alexandre B A Villares 🐍<p><a href="https://ciberlandia.pt/tags/geopandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geopandas</span></a> <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="ellipsis">youtube.com/watch?v=0mWgVVH_do</span><span class="invisible">s</span></a> <a href="https://ciberlandia.pt/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</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></p>
Jeff Allen<p>helped create maps of rail transit + population density for 250 cities</p><p><a href="https://mapstodon.space/tags/maps" class="mention hashtag" rel="tag">#<span>maps</span></a> <a href="https://mapstodon.space/tags/transit" class="mention hashtag" rel="tag">#<span>transit</span></a> <a href="https://mapstodon.space/tags/geopandas" class="mention hashtag" rel="tag">#<span>geopandas</span></a> <a href="https://mapstodon.space/tags/openstreetmap" class="mention hashtag" rel="tag">#<span>openstreetmap</span></a></p><p><a href="https://schoolofcities.github.io/rail-transit-and-population-density" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">schoolofcities.github.io/rail-</span><span class="invisible">transit-and-population-density</span></a></p>
Dominik Weckmüller<p>New blog post! Spatially filter Foursquare's &gt;100.000.000 rows (10Gb GeoParquet file) in 22 seconds with DuckDB.<br><a href="https://geo.rocks/post/duckdb_geospatial/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">geo.rocks/post/duckdb_geospati</span><span class="invisible">al/</span></a><br><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/duckdb" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>duckdb</span></a> <a href="https://fosstodon.org/tags/geopandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geopandas</span></a></p>
💧🌏 Greg Cocks<p>Geospatial Python 🐍 - Full Course for Beginners with GeoPandas 🐼<br>--<br><a href="https://youtu.be/0mWgVVH_dos?si=KHenBnxdeStppvnH" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">youtu.be/0mWgVVH_dos?si=KHenBn</span><span class="invisible">xdeStppvnH</span></a> &lt;-- shared video tutorial<br>--<br><a href="https://moderngis.xyz/courses/geopandas-free-certification/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">moderngis.xyz/courses/geopanda</span><span class="invisible">s-free-certification/</span></a> &lt;-- shared course files<br>--<br>[sharing of this course should not – necessarily - be considered as an endorsement]<br><a href="https://techhub.social/tags/GIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GIS</span></a> <a href="https://techhub.social/tags/spatial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spatial</span></a> <a href="https://techhub.social/tags/mapping" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mapping</span></a> <a href="https://techhub.social/tags/tutorial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tutorial</span></a> <a href="https://techhub.social/tags/onlinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>onlinelearning</span></a> <a href="https://techhub.social/tags/free" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>free</span></a> <a href="https://techhub.social/tags/training" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>training</span></a> <a href="https://techhub.social/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://techhub.social/tags/geopandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geopandas</span></a> <a href="https://techhub.social/tags/pandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pandas</span></a> <a href="https://techhub.social/tags/beginners" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>beginners</span></a> <a href="https://techhub.social/tags/video" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>video</span></a> <a href="https://techhub.social/tags/videotutorial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>videotutorial</span></a> <a href="https://techhub.social/tags/workflows" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>workflows</span></a> <a href="https://techhub.social/tags/automation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>automation</span></a> <a href="https://techhub.social/tags/spatialanalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spatialanalysis</span></a> <a href="https://techhub.social/tags/spatialdata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spatialdata</span></a> <a href="https://techhub.social/tags/DuckDB" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DuckDB</span></a> <a href="https://techhub.social/tags/leafmap" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>leafmap</span></a> <a href="https://techhub.social/tags/lonboard" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>lonboard</span></a> <a href="https://techhub.social/tags/certification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>certification</span></a></p>
Alexandre B A Villares 🐍<p>"R⁵py is a <a href="https://ciberlandia.pt/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> 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. <a href="https://ciberlandia.pt/tags/r5py" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>r5py</span></a> is inspired by r5r, a wrapper for R, and it is designed to interact with <a href="https://ciberlandia.pt/tags/GeoPandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GeoPandas</span></a> <a href="https://ciberlandia.pt/tags/GeoDataFrames" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GeoDataFrames</span></a>." </p><p><a href="https://r5py.readthedocs.io/en/stable/index.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">r5py.readthedocs.io/en/stable/</span><span class="invisible">index.html</span></a></p><p>via <span class="h-card" translate="no"><a href="https://vis.social/@waeiski" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>waeiski</span></a></span></p>
Václav Štěpán<p>Would you please have any hint on how to set aliases to column names in GeoPackage layer using Python? (No, not using ArcGIS Python APIs.) <a href="https://f.cz/tags/gischat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>gischat</span></a> <a href="https://f.cz/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://f.cz/tags/geopackage" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geopackage</span></a> <a href="https://f.cz/tags/geopandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geopandas</span></a></p>
Alexander Dunkel<p>Quick glance at the new <a href="https://himself.alexanderdunkel.com/tags/Foursquare" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Foursquare</span></a> dataset with 100M places worldwide [1], based on do-me's data upload [2]. See the jupyter notebook here [3].</p><p>[1]: <a href="https://location.foursquare.com/resources/blog/products/foursquare-open-source-places-a-new-foundational-dataset-for-the-geospatial-community/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">location.foursquare.com/resour</span><span class="invisible">ces/blog/products/foursquare-open-source-places-a-new-foundational-dataset-for-the-geospatial-community/</span></a><br>[2]: <a href="https://huggingface.co/datasets/do-me/foursquare_places_100M" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">huggingface.co/datasets/do-me/</span><span class="invisible">foursquare_places_100M</span></a><br>[3]: <a href="https://code.ad.ioer.info/wip/snippets/html/2024-11-25_foursquare_parquet.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">code.ad.ioer.info/wip/snippets</span><span class="invisible">/html/2024-11-25_foursquare_parquet.html</span></a></p><p><a href="https://himself.alexanderdunkel.com/tags/geopandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geopandas</span></a> <a href="https://himself.alexanderdunkel.com/tags/geoparquet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geoparquet</span></a>, <a href="https://himself.alexanderdunkel.com/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://himself.alexanderdunkel.com/tags/datascience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datascience</span></a> <a href="https://himself.alexanderdunkel.com/tags/datashader" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datashader</span></a> <a href="https://himself.alexanderdunkel.com/tags/jupyter" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>jupyter</span></a></p>
tlohde<p>day 24: <a href="https://fediscience.org/tags/only_circular_shapes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>only_circular_shapes</span></a> </p><p>Encircled Iceland Incircles.</p><p>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...</p><p><a href="https://en.wikipedia.org/wiki/Incircle_and_excircles" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">en.wikipedia.org/wiki/Incircle</span><span class="invisible">_and_excircles</span></a></p><p>method implemented similar to that of Garcia-Castellanos &amp; Lombardo 2008 <a href="https://doi.org/10.1080/14702540801897809" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1080/14702540801897</span><span class="invisible">809</span></a> </p><p>colors are that of the Icelandic flag</p><p>coastline from Natural Earth. plotting with <a href="https://fediscience.org/tags/matplotlib" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>matplotlib</span></a> <a href="https://fediscience.org/tags/shapely" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>shapely</span></a> <a href="https://fediscience.org/tags/cartopy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cartopy</span></a> <a href="https://fediscience.org/tags/geopandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geopandas</span></a> </p><p><a href="https://fediscience.org/tags/30DayMapChallenge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>30DayMapChallenge</span></a></p>
tlohde<p>Day 23: <a href="https://fediscience.org/tags/Memory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Memory</span></a> Lanes</p><p>or: the northwest seems closer.</p><p>had great fun doing this / got a bit carried away.</p><p>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.</p><p><a href="https://fediscience.org/tags/OpenStreetMap" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenStreetMap</span></a> for reality. <a href="https://fediscience.org/tags/matplotlib" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>matplotlib</span></a> for plotting. <a href="https://fediscience.org/tags/geopandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geopandas</span></a> and <a href="https://fediscience.org/tags/shapely" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>shapely</span></a> for everything else.</p><p>slightly more detail, but not much more, here: <a href="https://tlohde.blog/2024/11/23/memory-lanes/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">tlohde.blog/2024/11/23/memory-</span><span class="invisible">lanes/</span></a></p><p><a href="https://fediscience.org/tags/30DayMapChallenge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>30DayMapChallenge</span></a></p>