manu
Stefan F. KellerNew blog post about "The coolest way to find shaded paths: Vampire routing on routing.osm.ch".
See https://sosm.ch/the-coolest-way-to-find-shady-paths-vampire-routing-on-routing-osm-ch/
Alex@sfkeller „shady“ ist etwas vorbelastet mit der anderen Bedeutung als „zwielichtig“, dachte erst wieso will man einen zwielichtigen Weg bevorzugen 😅
Besser wäre vielleicht „shaded“ (dt. beschattet)?
Besser wäre vielleicht „shaded“ (dt. beschattet)?
wolk
Brie Mmm
Sophie Tyalie (☎️ 7098)@sfkeller i need this
haecks@sfkeller I might have not read thouroughly enough, but it seems like these routing calculations are currently limited to Switzerland. When I try it out with points in a German city it is setting a waypoint directing to Zurich in between.
Gladly no such option for vampires here.
Gladly no such option for vampires here.
Daria 🏳️⚧️ 🏳️🌈
Marcel Waldvogel@daria @haecks @sfkeller
… because it uses Switzerland-specific shading data. But maybe there is something similar for .de or .pl?
https://mastodon.social/@sfkeller/114821785088501038
… because it uses Switzerland-specific shading data. But maybe there is something similar for .de or .pl?
https://mastodon.social/@sfkeller/114821785088501038
Stef ✨
judgyweevil@sfkeller I hope there will be a OpenStreetMap plugin for this
Bernd Herd@sfkeller Great idea. I recently changed my cycle path to bike through the forest while it was so extremly hot. So a vampire mode for cycling would also be interesting.
Memento Mori 💃🏽🇪🇺🇩🇪🇺🇦@sfkeller Once in a blue moon, there suddenly is a REAL good app created! Very original and sophisticated: simple but very useful.
Andreas Albrecht@sfkeller @lesekaffee Great!
What we need next is a "spirit mode" (also referred to as "ghost" or "phantom" mode), returning the shortest path between two points that is entirely uncovered by CCTV.
jomo@Datterich @sfkeller @lesekaffee I've thought about that. In theory it's quite simple to avoid CCTV when routing, but the tagging scheme on OSM would have to change similar to how speed cameras are mapped. In most cases, only the cameras are mapped, but there is no relation to the surveiled ways. Calculating that based on the position and orientation would require a lot of processing and would result in many false positives.
@jomo @Datterich @lesekaffee That's a nice idea. Such an “enrichment” of route attributes would be an exciting Geo-DataOps task.
https://github.com/GIScience/osm-transform carries out such a preparation of OSM data. I am in the process of testing something similar in a student project with a view to special routing such as wheelchairs or emergency vehicles.
https://github.com/GIScience/osm-transform carries out such a preparation of OSM data. I am in the process of testing something similar in a student project with a view to special routing such as wheelchairs or emergency vehicles.
boredsquirrel@sfkeller how is that calculated? Building hight, orientation, street width and material, trees?
@Rhababerbarbar We used GRASS r.sun, which uses point clouds and a terrain model, including for mountain shadows. In our case, the point clouds are swissSURFACE and the terrain is swissALTI from swisstopo. And yes, swissSURFACE3D contains buildings with roofs, trees and vegetation. What is still missing in our calculation is the gradient of the road and the road surface material (surface).
Friedemanncan't even express how much I love those techy nerdy independend and suporting FOSS projects!
shisma
Soh Kam Yung
Chee Aun 🤔@sohkamyung not easy 😁
I used to spent some time on this, mainly to avoid heat and also rain; looking at buildings (shadow) data, trees (crown shadow) data and covered walkpaths data. Still not enough. It probably works well for other cities, but for Singapore as a all-year-summer city-country, we have far more covered walk options (HDB open areas, underground passages, walking through malls, etc).
Robert Garrigós@sfkeller use an umbrella....
Q-Rai@robertgarrigos umbrellas help some (definitely to reduce sunburn risk), but in the city, most surfaces you walk on heat up a lot when they're in the sunlight, and they radiate that heat. A surface that's not been in direct sunlight for a while will be cooler and more pleasant to walk on.
It's one aspect that leads to "urban heat islands" (aka cities are warmer than countryside), because surfaces like asphalt radiate more heat than a field. (Other factors include cars, air conditioning, etc)
It's one aspect that leads to "urban heat islands" (aka cities are warmer than countryside), because surfaces like asphalt radiate more heat than a field. (Other factors include cars, air conditioning, etc)
@qrai you are right
@robertgarrigos You mean something like this 😎?
(Source SRF https://www.srf.ch/wissen/mobilitaet/der-hitze-aus-dem-weg-gehen-vampir-modus-an-dieser-navigation-haette-dracula-viel-freude )
Little Rao@sfkeller neat... but how about actually doing something against the heat?
Trees for example can do quite a bit to bring down the heat!
Make even australian city centers rather comfy to walk in...
Trees for example can do quite a bit to bring down the heat!
Make even australian city centers rather comfy to walk in...
@littlerao Right. After all, it's an index. At least trees are taken into account with this 'vampire' routing, too. Someone actually suggested calculating a 'shadeness' index for cities. This would allow you to measure advances in reducing heat over time.
T3Z 🎨🐱📖@T3Z Wieso nicht. Ist Big-Geo-DataOps. Unrealistisch wäre, das für jede Tagesstunde und jeden Ort der Welt zu rechnen. Da müsste ein gemittelter Schattenindex her. Oft fehlen Punktwolken und Geländemodelle. Wir verwendeten GRASS r.sun. osm-transform von GIScience HeiGIT leistet übrigens eine erste Anreicherung von OSM-Ways. Ich bin gerade dabei, ein ähnlicher Preprocessor wie osm-transform in einem Studentenprojekt zu testen mit Blick auf Spezialrouting wie Wheelchair oder Einsatzfahrzeuge.