Digital Elevation Models, Old Maps, And Cultural Heritage—Geospatial Assets For The Digital Humanities
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https://doi.org/10.3389/fcomm.2025.1507385 <-- shared paper
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#GIS #spatial #mapping #spatialanalysis #spatiotemporal #water #hydrography #remotesensing #earthobservation #landscape #humanimpacts #landforms #DEM #elevation #LiDAR #oldmaps #historicmaps #culture #society #infrastructure #community #change #DigitalHumanities #geography #cartography #environment #culturalheritage #Nederlands #LingeRiver #engineering #precisionmapping #understanding #history

#QGIS supports a "Model builder" that will allow you to chain a selection of these algorithms together with data you have.

At the end of the pipeline, you can give weights to each of the component pieces for a final priority that balances safety, utility and equity in sidewalk planning!

Here's a heatmap of locations with missing sidewalk, shaded based on priority to fund. 🧵

#UrbanPlanning #Mapping

"Percent High Comfort Bikeshed" may be harder to package for #QGIS because it involves running a custom #valhalla server currently-- building a graph to generate the bike isochrones (travel-time area) using only the high-comfort facilities.

If there's a way to query Valhalla such that only a subset of the network is considered for routing, then I could run it against public servers.

#qgis #mapping #OpenStreetMap

Early feedback on the "Sidewalk Location Priority Toolkit" for QGIS is welcome.

Are you interested in something like this? What's helpful to you? Questions?

#QGIS #Mapping #UrbanPlanning

The current iteration of the plugin generates a starter hex grid for you.

The expanded version will support "bring your own hex grid", so you can start with a grid and then continue add more values to it which are then used to build a priority score.

This final step is described more here, in How to Create a Heatmap of Sidewalk Location Priority:

https://mark.stosberg.com/how-to-create-a-heatmap-sidewalk-location-priority/

🧵

#QGIS #Mapping #UrbanPlanning

#QGIS supports a "Model builder" that will allow you to chain a selection of these algorithms together with data you have.

At the end of the pipeline, you can give weights to each of the component pieces for a final priority that balances safety, utility and equity in sidewalk planning!

Here's a heatmap of locations with missing sidewalk, shaded based on priority to fund. 🧵

#UrbanPlanning #Mapping

The full set of algorithms to be packaged for #QGIS is described here in "Toolkit for Sidewalk Location Priority"

https://mark.stosberg.com/toolkit-for-sidewalk-location-priority/

They include calculating location priority based on:

- "Walk Potential" -- proximity to interesting destinations
- building a Missing sidewalk Map
- line segment data like street width, speed and average traffic volume
- point data like crash locations or traffic column locations.
- Walk proximity to points, like bus stops 🧵

#mapping #urbanplanning

A thread about what's next for my "Walk Potential" #QGIS plugin.

https://plugins.qgis.org/plugins/walk_potential/#plugin-details

Intro video: https://urbanists.video/w/kNht44gXqiN2w95ZhxQRVW

The plan is to expand the scope of this #UrbanPlanning tool into "Sidewalk Priority Toolkit'. It will package several more algorithms that you can then mix and match with your own local data sets to put together a final project priority heatmap to plan sidewalk funding.

Though, the framework may be useful for other kinds of spatial priority as well! 🧵 #mapping

Digital Elevation Models, Old Maps, And Cultural Heritage—Geospatial Assets For The Digital Humanities
--
https://doi.org/10.3389/fcomm.2025.1507385 <-- shared paper
--
#GIS #spatial #mapping #spatialanalysis #spatiotemporal #water #hydrography #remotesensing #earthobservation #landscape #humanimpacts #landforms #DEM #elevation #LiDAR #oldmaps #historicmaps #culture #society #infrastructure #community #change #DigitalHumanities #geography #cartography #environment #culturalheritage #Nederlands #LingeRiver #engineering #precisionmapping #understanding #history

🗺️ Day 13 — #30DayMapChallenge | 10 Minute Map

Today’s theme was all about speed: create a full map in just 10 minutes. ⏱️
I put together a quick Melbourne land-use map, showing how residential areas, parks, industrial zones, and transport corridors shape the city. Even in a fast workflow, the spatial patterns come through so clearly.

#GIS #Geospatial #Mapping #Cartography #Mapston #30DayMapChallenge #Melbourne #Australia

🗺️ Day 13 — #30DayMapChallenge | 10 Minute Map

Today’s theme was all about speed: create a full map in just 10 minutes. ⏱️
I put together a quick Melbourne land-use map, showing how residential areas, parks, industrial zones, and transport corridors shape the city. Even in a fast workflow, the spatial patterns come through so clearly.

#GIS #Geospatial #Mapping #Cartography #Mapston #30DayMapChallenge #Melbourne #Australia

En.osm.town is an independent Mastodon server for OpenStreetMap people. Funding graciously provided by the OpenStreetMap Foundation.

This server has been online since 2018.

https://en.osm.town

You can find out more at https://en.osm.town/about or contact the admin account @compass

#FeaturedServer #OpenStreetMap #OSM #Maps #Mapping #Cartography #GIS #Geospatial #Geography #Mastodon #Fediverse #FreeFediverse

En.osm.town is an independent Mastodon server for OpenStreetMap people. Funding graciously provided by the OpenStreetMap Foundation.

This server has been online since 2018.

https://en.osm.town

You can find out more at https://en.osm.town/about or contact the admin account @compass

#FeaturedServer #OpenStreetMap #OSM #Maps #Mapping #Cartography #GIS #Geospatial #Geography #Mastodon #Fediverse #FreeFediverse

Completely taken by the 2025 Local Deprivation maps on gov.uk:

https://deprivation.communities.gov.uk/maps

These maps are painting such a sad & harsh picture of the country (well, at least of England)! Been spending the past hour or so checking out various places I've been to, worked and lived in — for some of them they confirm nothing seems to have changed (for the better) in 15+ years. E.g. Central Sunderland[1] still is 99% more deprived than the rest of England, many neighborhoods in the larger cities are faring pretty bad too. Austerity visualized. Would be great if there would be a time travel option available, to see/compare these maps before/after Brexit...

[1] Back in 2010, Sunderland was an eye-opening experience for me (of a VERY different England than I knew from the south), when I was there a few times developing & installing the generative and agent & sensor-driven animation/software for the 140 meter long LED wall on Platform 5 at the main train station. It seems the project might still be running after all these years (never had a single support call), and it's still the first image on Google Maps... 🙌

https://maps.app.goo.gl/NyQdf5ghkosLYadi7

[2] I always admired the UK datastore, the amount of available national data and the related mapping/infoviz culture. I built quite a few projects with their data myself, but have yet to find anything comparable for Germany. https://www.govdata.de just seems a lot more disparate and limited...

#UK #Statistics #Deprivation #Mapping #DataViz

Completely taken by the 2025 Local Deprivation maps on gov.uk:

https://deprivation.communities.gov.uk/maps

These maps are painting such a sad & harsh picture of the country (well, at least of England)! Been spending the past hour or so checking out various places I've been to, worked and lived in — for some of them they confirm nothing seems to have changed (for the better) in 15+ years. E.g. Central Sunderland[1] still is 99% more deprived than the rest of England, many neighborhoods in the larger cities are faring pretty bad too. Austerity visualized. Would be great if there would be a time travel option available, to see/compare these maps before/after Brexit...

[1] Back in 2010, Sunderland was an eye-opening experience for me (of a VERY different England than I knew from the south), when I was there a few times developing & installing the generative and agent & sensor-driven animation/software for the 140 meter long LED wall on Platform 5 at the main train station. It seems the project might still be running after all these years (never had a single support call), and it's still the first image on Google Maps... 🙌

https://maps.app.goo.gl/NyQdf5ghkosLYadi7

[2] I always admired the UK datastore, the amount of available national data and the related mapping/infoviz culture. I built quite a few projects with their data myself, but have yet to find anything comparable for Germany. https://www.govdata.de just seems a lot more disparate and limited...

#UK #Statistics #Deprivation #Mapping #DataViz

🗺️ New OSM file format: 30% smaller than PBF, 5x faster to import

｢ we created GOB (“Geo-Object Bundle”), a new file format that makes tackling OSM data faster and easier. It’s a companion format to our now-familiar Geo-Object Library (essentially, a tightly-compressed GOL with its indexes stripped) ｣

https://community.openstreetmap.org/t/new-osm-file-format-30-smaller-than-pbf-5x-faster-to-import/137151

#osm #opensource #mapping

Mapping the off-target effects of every FDA-approved drug in existence

https://www.owlposting.com/p/mapping-the-off-target-effects-of

#HackerNews #Mapping #Drugs #Off-Target #Effects #FDA #Approval #DrugResearch #Healthcare #Innovation

Mapstodon.space is a Mastodon server for cartography & geospatial professionals and enthusiasts. Ask questions, share your maps, chat around, enjoy the emojis!

https://mapstodon.space

You can find out more at https://mapstodon.space/about or contact the admin @jeremy

#FeaturedServer #Maps #Mapping #Cartography #Geospatial #GIS #Geography #Mastodon #Fediverse #FreeFediverse