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Bill explains how to find the location by drawing a map on his hand. And he isn’t talking about Michigan.
#GISChat

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A screen capture of an ArcGIS Process Window in the midst of processing 8.5 billion points in a lidar dataset.

A screen capture of an ArcGIS Process Window in the midst of processing 8.5 billion points in a lidar dataset.

How's your day going? I think need a coffee and a #GISChat while I wait for this not quite 4 of 8 billion points to finish processing pyramids ... 50 minutes elapsed.

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Attention #RSpatial community: NAD83 → NSRS and ETRS89 updates are hitting PROJ/GDAL/etc., potentially affecting sf, terra, gdalraster, vapour.

Roger Bivand is seeking feedback on his talk proposal.

Details:

#RStats #GISchat

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Attention #RSpatial community: NAD83 → NSRS and ETRS89 updates are hitting PROJ/GDAL/etc., potentially affecting sf, terra, gdalraster, vapour.

Roger Bivand is seeking feedback on his talk proposal.

Details:

#RStats #GISchat

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Leseempfehlung / Recommended reading : „The Zero-Area Paradox“ geoobserver.de/2026/03/13/l... #gistribe #gischat #fossgis #foss4g #OSGeo #spatial #geospatial #mapping #gis #geo #geoObserver pls RT

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Figure 2. Illustration of line densification when approximating a curve with a finite number of points. Panel (a) depicts the ground
truth, showing the precise geometry of two curves, C1 and C2. Panel (b) illustrates finite approximations, A1 and A2, that use a sparse
distribution of points along the respective curves. Topology is violated as A1 intersects itself and also A2. Panel (c) demonstrates line
densification resulting in A0 1 and A0 2 preserving the true topology

Figure 2. Illustration of line densification when approximating a curve with a finite number of points. Panel (a) depicts the ground truth, showing the precise geometry of two curves, C1 and C2. Panel (b) illustrates finite approximations, A1 and A2, that use a sparse distribution of points along the respective curves. Topology is violated as A1 intersects itself and also A2. Panel (c) demonstrates line densification resulting in A0 1 and A0 2 preserving the true topology

New article! Fantastic work from Nihal Z. Miaji and colleagues on the cartogram creation process, and how we ensure topology is preserved and cartogram regions remain connected and not overlapping doi.org/10.1080/1523... #GISchat #OpenAccess

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QGIS-Tipp: Plugin „GeoBasis_Loader“ v2.0 veröffentlicht / published geoobserver.de/2026/03/12/q... #gbl #qgis #plugin #switch2qgis #gistribe #gischat #fossgis #foss4g #OSGeo #spatial #geospatial #opensource #gis #geo #geoObserver pls RT

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{arcgislayers} + {calcite} + {mapgl} 🗺️ read the data from ArcGIS Online, create the UI with Calcite, visualize with MapGL.
#rstats #spatial #gischat

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Figure 7. Snapshot of the Web GIS dashboard (sewer networks are hidden due to confidentiality considerations. Screenshot of a Web GIS dashboard showing sampling results over a campus map. The central panel displays a map with colored building footprints and sampling locations marked with colored dots indicating results (negative, positive, suspicious, or other). A legend on the left explains the symbols for samplers and buildings. A sidebar allows neighborhood selection and zooming. On the right, panels show selectable basemaps, a summary indicator reporting **25 positive individual sites** in the current map extent, and a pie chart showing the composition of testing results (not collected, negative, positive, suspicious). The bottom section contains a bar chart showing the number of positive samplers over time and a line chart showing the time-series testing results for a selected sampler.

Figure 7. Snapshot of the Web GIS dashboard (sewer networks are hidden due to confidentiality considerations. Screenshot of a Web GIS dashboard showing sampling results over a campus map. The central panel displays a map with colored building footprints and sampling locations marked with colored dots indicating results (negative, positive, suspicious, or other). A legend on the left explains the symbols for samplers and buildings. A sidebar allows neighborhood selection and zooming. On the right, panels show selectable basemaps, a summary indicator reporting **25 positive individual sites** in the current map extent, and a pie chart showing the composition of testing results (not collected, negative, positive, suspicious). The bottom section contains a bar chart showing the number of positive samplers over time and a line chart showing the time-series testing results for a selected sampler.

New article! Wenwu Tang and colleagues present A web-based spatial decision support system of COVID-19 wastewater surveillance on a university campus doi.org/10.1080/1523... #GISchat

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Ladesäulenversorgung in Deutschland (10km x 10km) via QGIS / Charging station coverage in Germany (10km x 10km) via QGIS geoobserver.de/2026/03/11/l... #qgis #switch2qgis #gistribe #gischat #fossgis #foss4g #OSGeo #spatial #geospatial #opendata #gis #geo #geoObserver pls RT

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The guy who claimed to hate Fleetwood Mac on a call last week is requesting a landslide map??

#gischat

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Figure 1: User attributes and navigation behavior. The diagram shows a central pedestrian figure with four attribute categories branching outward: 1) Gender - showing female (illustrated with person receiving directions 'Turn left before the red building') and male (illustrated with person at directional signpost receiving instruction 'Go west for 300 meters'); 2) Expertise - divided into Geography (showing topographic contour map with task 'Find the highest point in the terrain') and Non-geography (showing street map with task 'Find the hospital on Queen street'); 3) Spatial ability - showing high spatial ability (person solving maze saying 'Easy!') and low spatial ability (confused people asking 'Where is...?'); 4) Familiarity - showing familiar environment (person in park saying 'I have been there!') and unfamiliar environment (person consulting map with 'Map told me!'). Below these attributes are five navigation task types illustrated with icons: Self-localization (map with location pin asking 'Where am I?'), Object search (red house with 'Find the house with red roof'), Map target search (map showing 'Find the picnic point on the map'), Route memorization (map with dotted route to Bill's Wood), and Walking to the end (person walking in urban environment).

Figure 1: User attributes and navigation behavior. The diagram shows a central pedestrian figure with four attribute categories branching outward: 1) Gender - showing female (illustrated with person receiving directions 'Turn left before the red building') and male (illustrated with person at directional signpost receiving instruction 'Go west for 300 meters'); 2) Expertise - divided into Geography (showing topographic contour map with task 'Find the highest point in the terrain') and Non-geography (showing street map with task 'Find the hospital on Queen street'); 3) Spatial ability - showing high spatial ability (person solving maze saying 'Easy!') and low spatial ability (confused people asking 'Where is...?'); 4) Familiarity - showing familiar environment (person in park saying 'I have been there!') and unfamiliar environment (person consulting map with 'Map told me!'). Below these attributes are five navigation task types illustrated with icons: Self-localization (map with location pin asking 'Where am I?'), Object search (red house with 'Find the house with red roof'), Map target search (map showing 'Find the picnic point on the map'), Route memorization (map with dotted route to Bill's Wood), and Walking to the end (person walking in urban environment).

New article! Hua Liao and colleagues evaluate how much we can deduce from users visual behaviour in pedestrian navigation: quite a bit it seems, inc. gender, geographical expertise, spatial ability & familiarity of the environment #GISchat doi.org/10.1080/1523... Data at figshare.com/s/5b06a12bea...

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#GISchat #GeoSky

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Welcome QGIS 4! geoobserver.de/2026/03/10/w... #qgis #qgis4 #switch2qgis#gistribe #gischat #fossgis #foss4g #OSGeo #spatial #geospatial #opensource #gis #geo #geoObserver pls RT

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#gischat

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Original post on fediscience.org

Norrköping! As in the place in Sweden where our friends @smhi live?!

https://fosstodon.org/@qgis/116200993544791283
qgis@fosstodon.org - QGIS 4.0 Norrköping is released!

The wait is over! We are pleased to announce the new major release of QGIS 4.0. Installers for Windows, Linux, and Mac are […]

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Preview
Navigate ethics in GeoAI Learn how GIS is used in AI-enabled professional workflows and why ethical considerations must guide decisions across the GIS project

Hands-on GIS learning with the Guide to the Geographic Approach 👇

🔸Master a proven 7-step ethical framework to navigate bias and privacy in GeoAI: ow.ly/F8gv50YrA7A

Ensure your GIS project lifecycle prioritizes transparency and professional integrity ⚖️🤖

#GISchat ⚒️ #academicsky

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Original post on fosstodon.org

QGIS 4.0 Norrköping is released!

The wait is over! We are pleased to announce the new major release of QGIS 4.0. Installers for Windows, Linux, and Mac are already out. What's new? On the surface, existing users should expect to engage with a QGIS experience familiar to what they have come to […]

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built-in #geometry datatype in @duckdb v1.5 without plugin - that is huge! #gis #gischat #spatial #geospatial
duckdb.org/2026/03/09/announcing-du...

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Table 2: Mapping between tasks and candidate gestures. The table has two columns labeled 'Function' and 'Gesture 1'. Five rows show: 1) Pan - Open hand swipe gesture with illustration of flat hand moving horizontally; 2) Zoom In - Index finger and thumb moving from pinch to open position with spreading motion; 3) Zoom Out - Index finger and thumb moving from open to pinch position with closing motion; 4) Point Placement - Pinch fingers then open gesture, shown with two hand positions; 5) Switch Mode - Sweep open palm left and right, illustrated with palm moving in both directions. Each gesture is accompanied by simple black line drawings demonstrating the hand movements.

Table 2: Mapping between tasks and candidate gestures. The table has two columns labeled 'Function' and 'Gesture 1'. Five rows show: 1) Pan - Open hand swipe gesture with illustration of flat hand moving horizontally; 2) Zoom In - Index finger and thumb moving from pinch to open position with spreading motion; 3) Zoom Out - Index finger and thumb moving from open to pinch position with closing motion; 4) Point Placement - Pinch fingers then open gesture, shown with two hand positions; 5) Switch Mode - Sweep open palm left and right, illustrated with palm moving in both directions. Each gesture is accompanied by simple black line drawings demonstrating the hand movements.

New article! Ben Ma and colleagues evaluate how mid-air gestures could be used to interact with mobile maps, doi.org/10.1080/1523... #GISchat Data available at doi.org/10.6084/m9.f...

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What's New in #ArcGIS Instant #Apps (Feb 2026) tinyurl.com/474bfyeh

#GIS #esri #mapping #GISchat #geospatial #ArcGISOnline #ArcGISApps #TheScienceOfWhere #geosky

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RE: https://hachyderm.io/@simontatham/116199197526716498

Hah, this actually looks like a novel idea for topological fixes on GIS polygons.

cc @doublebyte @jjimenezshaw @pwramsey #gischat

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FOSSGIS 2026: Helfende gesucht! / Volunteers wanted! geoobserver.de/2026/03/09/f... #fossgis #fossgis2026 #gistribe #gischat #foss4g #OSGeo #spatial #geospatial #opensource #opendata #osm #openstreetmap #gis #geo #geoObserver pls RT

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Diagonal panning video from a very detailed shaded map of Melbourne, Australia. The full map is 15981 x 15919 pixels with 0.5 m resolution and is available at https://shadedmaps.github.io Data source: https://discover.data.vic.gov.au [City of Melbourne]. #GIS #gischat

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Resized shaded map of Melbourne, Australia.

Resized shaded map of Melbourne, Australia.

A fragment from the shaded map of Melbourne, Australia.

A fragment from the shaded map of Melbourne, Australia.

A fragment from the shaded map of Melbourne, Australia.

A fragment from the shaded map of Melbourne, Australia.

A fragment from the shaded map of Melbourne, Australia.

A fragment from the shaded map of Melbourne, Australia.

A very detailed shaded map of Melbourne, Australia. The full map is 15981 x 15919 pixels with 0.5 m resolution and is available at https://shadedmaps.github.io Data source: https://discover.data.vic.gov.au [City of Melbourne]. #GIS #gischat #shadedrelief #maps

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#maps #gischat

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Map Masters with two different modes to play, Co-op or Versus!

Map Masters with two different modes to play, Co-op or Versus!

#GISChat I found a mapping game!

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BIFOLD at #WACV2026 will present #GeoRank.

Meet the researcher: Mar 9, 26; 1:30 pm; Oral Session 5B: Remote Sensing and Sensors.

More: t1p.de/8lcqx

#earthobservation #remotesensing @tuberlin.bsky.social #GIS #geospatial #computervision #gischat #thescienceofwhere #dataviz #openaccess #MLsky

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Gallery – Interactive Visualization Examples | VisQuill Browse interactive data visualizations built with VisQuill — covering permafrost mapping, election results, sun maps, glacier data, climate change, and more.

Just came across this little gem. Amazing #map visualisations visquill.com/gallery/?exa...
#gischat

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I just found out that my book, GIS For Dummies, 2nd Edition, is 30% off at Barnes & Noble all month long as part of Dummies Month! If you’ve been meaning to pick it up, now’s a great time.

#GISChat #forDummies

www.barnesandnoble.com/w/gis-for-du...

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