Wie viele #Bäume könnte man in #Hamburg pflanzen?
Damit habe ich mich bei #105Viertel in Kooperation mit #CitizensForests beschäftigt!
Habe #OpenData mit #QGIS analysiert und die Ergebnisse veröffentlicht!
Wie viele #Bäume könnte man in #Hamburg pflanzen?
Damit habe ich mich bei #105Viertel in Kooperation mit #CitizensForests beschäftigt!
Habe #OpenData mit #QGIS analysiert und die Ergebnisse veröffentlicht!
New #introduction after migrating to Hachyderm.io - I work in data/research for a dog welfare and rehoming charity, mostly using #RStats, #Python and #SQL with occasional #QGIS.
I’m also interested in the environment, climate and wildlife. I don’t have loads of free time these days but I also enjoy music (see Bandcamp link!), books when I get round to reading them (see Bookwyrm link!), films (anything from highbrow to Highlander), cycling, yoga and #TaiChi (initially as ways to help manage #arthritis, before I began to appreciate both in their own rights).
New Post: Intersection Crash Analysis with QGIS
https://mark.stosberg.com/intersection-crash-analysis-with-qgis/?ref=mastodon
The post shares four methods for crash analysis and compares them.
I've now published a write-up and the source code for how I calculated a connectivity rank which could be used to help prioritize how a bike network is built out based how segments would improve connections with the existing network.
https://mark.stosberg.com/bike-network-connectivity-rank/?ref=mastodon
Thanks to all the open source mapping projects that helped make this possible, including #qgis #valhalla #josm and #turfjs. And yes, I used JavaScript for this.
Feedback, improvements welcome!
You can look upthread to see how I generated the isochrones yesterday. The hex grid used here is just a standard hex grid. So all I did today to finish was to use those isochrones to calculate the rank, and then I pulled everything back into #qgis to visualize.
I may throw the code up into a public repo in case others are interested.
I only want to test the travel distance along the current and planned low-stress network. But routing engines normally generate isochrones against anything that's bikeable in #OpenStreetMap.
Here's how I solved that. Starting with geo-data for the current and planned low-stress network, I loaded into #QGIS and then exported back out to GeoJSON, then imported back into #JOSM. From there, I added tags to entire network to mark them as bike routable.
Open source software is free and enables people to do great things with it. This is the #opensource software/data I've been using to create maps, process images, make animations etc. related to #NASA's #Mars2020 mission:
#GIMP : https://www.gimp.org
#Geogebra : https://www.geogebra.org
#ImageMagick : https://imagemagick.org
#QGIS : https : https://www.qgis.org
#Stellarium : https://stellarium.org
@kevinmgill's and @stim3on's flats: https://github.com/kmgill/mars-raw-utils-data/tree/61a3b4477b541d4749c66b348c2098a931369d93/caldata
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A map showing the flight path of #Ingentuity's #Flight25. Also shown are a number of Sky Crane fragments, marks made on the ground possibly by falling fragments and the backshell and parachute, all identified in #HiRISE images taken during different orbits over a two year period..
Map drawn in #QGIS
Barfleur is one of the largest ships to regularly enter #Poole harbour sailing regularly to #Cherbourg. Services were suspend during #covid and she was welcomed back afterwards. Have added smoke from the funnels and passenger lights - details that I didn't have time to add on the original animation
#30DayMapChallenge Day 28 - #3D
Made with #Blender #Blender3d #QGIS #python #javascript
#30DayMapChallenge Day 23 - Movement
A day of ship movements in Bournemouth Bay and Poole Harbour. AIS data captured with #raspberrypi dAIShat receiver and supplemented with #AISHub. Streetlights generated from #OSM road network data. It’s been a background project for most of the year… #SoundOn
Oh well, here we go again with another instance change for me because thanks to @joeroe we have an archaeology themed instance!
#introduction:
I'm a landscape archaeologist based in Rome. I did my PhD on spatial distribution of #IronAge archaeological sites along the Euphrates.
Currently, I am working on #remotesensing tools applied to #culturalheritage and #landscapearchaeology in #WesternAsia.
I have been an #R and #QGIS user for a few years now, and love everything about them.
Curious. Introspective. An aging idealist trying not to be too inflexible. Hope to leave things in a better place. We are never too old to re-assess our direction.
Process ideas visually through photography #darktable. Explore new music in #Bandcamp, then purchase for #Jellyfin in lossless #FLAC.
Graduated from Art School in Portland Or, and wish I had overlapped with #QGIS back then.
Tend to avoid "Rent to Never Own" revenue models.
Here’s a big list of hashtags to introduce myself a little and make me more discoverable. I broadly work on #geography #cartography #openscience #opensocialscience #sociology #dataviz #finance and #housing. You will also catch me posting about #rstats #python #qgis and #emacs.