Realizzazione di una mappa delle utility utilizzando Google Sheet + Mapbox GL JS e controllo dati con Qgis che riporta, suddivise per categoria, le attività (utility) presenti nell’area geografica del Comune di Limone P.te:

• i dati derivano dal database di openstreetmap e sono aggiornati giornalmente con una query overpass che importa i dati in un foglio di google:

• sul foglio di google, con la funzione =IMPORTDATA( vengono importati i dati con query csv di overpass turbo modificata grazie a questo turorial; di seguito esempio query

http://overpass-api.de/api/interpreter?data=out:csv(::id,::lat,::lon,::timestamp,::type,""name"",""amenity"",""phone"",""contact:phone"",""contact:mobile"",""mobile:phone"", ""website"",""facebook"",""contact:website"",""contact:facebook"",""email"",""contact:email"";true;"","")] [timeout:20];area[admin_level=8][boundary=administrative][""ref:ISTAT""=""004110""]->.boundaryarea; ( node(area.boundaryarea)[amenity=cafe]; way(area.boundaryarea)[amenity=cafe]; node(area.boundaryarea)[amenity=bar]; way(area.boundaryarea)[amenity=bar]; ); out meta center;")

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Contenedor de reciclaje marrón para residuos orgánicos en la avenida Paloma (ubicación). Fuente: trabajo propio (CC BY-SA 4.0) disponible en Wikimedia Commons.

Publico esta entrada únicamente para recordar cómo añadir los nuevos contenedores de reciclaje para residuos orgánicos a OpenStreetMap. Ya empiezan a verse en buen número por las calles de Málaga.

En muchos casos, estos contenedores han venido a sustituir a alguno de los contenedores de basura tradicionales que ya fueron añadidos al mapa en mayo de 2022. Por tanto, bastará con actualizar el etiquetado de los contenedores existentes: donde antes había tres contenedores de basura, puede que ahora haya dos de basura más uno de reciclaje para residuos orgánicos.

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Bing StreetSide is alternative to Google Street View which can be used for OpenStreetMap mapping. There is a MicrosoftStreetside plugin for JOSM but it doesn’t work for me due to dependencies of JavaFX/360 views.

I have managed to use it via Utilsplugin2.

1. Edit => Preferences (F12) => Utilsplugin2 settings
2. Add new row with name Bing StreetSide and url https://www.bing.com/maps?cp={#lat}%7E{#lon}&lvl=19.0&style=x.
   In the case of issues one can edit customurl.txt. For Linux/Flatpak it’s located at ~/.var/app/org.openstreetmap.josm/data/JOSM/plugins/utilsplugin2/customurl.txt.
3. Choose Bing StreetSide in Data => Select custom URL
4. Now you can see Bing StreetSide via Data => Open custom URL (Shift+H)

If StreetSide is available at given location it will be displayed. Otherwise map is shown with streets colored blue where it’s available.

Bing StreetSide to odpowiednik Google Street View, który można używać do mapowania w OpenStreetMap. Istnieje plugin MicrosoftStreetside do JOSMa, ale niestety u mnie nie działa ze względu zależność od JavaFX/widoki 360.

Poradziłem sobie za pomocą użycia pluginu Utilsplugin2.

1. Edit => Preferences (F12) => Utilsplugin2 settings
2. Należy dodać nowy wiersz klikając z nazwą Bing StreetSide oraz url https://www.bing.com/maps?cp={#lat}%7E{#lon}&lvl=19.0&style=x.
   W razie problemów można edytować plik customurl.txt. Dla Linuksa z Flatpakiem jest on w ~/.var/app/org.openstreetmap.josm/data/JOSM/plugins/utilsplugin2/customurl.txt.
3. Należy wybrać Bing StreetSide w Data => Select custom URL
4. Teraz można otworzyć Bing StreetSide za pomocą Data => Open custom URL (Shift+H)

Jeżeli w danym miejscu jest dostępny StreetSide to zostanie otwarty. Jeżeli nie to otworzy się mapa z ulicami na niebiesko w miejscach, gdzie jest dostępny.

What now?

In my previous diary entry I demonstrated using a Tableau visualization to find areas of the United States that could benefit from additional address data. If you find some place you’d like to work on, now what?

Getting set up (social)

OSM is a community project. It’s important to make sure mappers know what’s going and it’s always a good thing to give a heads up about plans for any big data changes in an area. Because this dataset is US centric I’ve been using the OSMUS Slack to keep people up to data about what’s happening. Each state has a “local” channel where you can get feedback and find folks to work with.

Always remember, not everything in the dataset needs to be added to OSM. It doesn’t cost anything to leave stuff out but can be quite time consuming to clean up if not done well.

Getting set up (tools)

Here’s what you’re going to need

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I had been in this area, then run to lower elevations for a storm, then back for some trails I still wanted to do.

Work for mapping began with Hope Lake, where someone had managed to number the trail, but not name it. After the lake, they’d just marked it with a fixme. Yes, it’s the same trail. Then I got to playing with things over the hill and there was more of this very minimal editing to improve. Then I ran into the Colorado Trail. Um. The Colorado Trail is a mess, frankly. Someone decided it should all be named “Colorado Trail (Segment #)”. This is an area where the trail runs along older named trails. The Forest Service went hyphenating the name onto the old name on their maps to keep them both on the map, but it is two different names. Someone had copied it over, including keeping the Colorado Trail on a differently named trail after the Colorado had left it. And then I started running into the segment numbers. Why? Why why why? That’s a whole project in itself.

So I quit that and moved on. I thought about doing the Sheep Mountain trail, which may be informal but is well maintained including an astonishing amount of logging out the old road it follows. Unfortunately, I only joined it halfway along on my way down. I didn’t like the look of the mountain where it goes and took on some easy, if steep, mountain instead. The log at the top indicates Teluride is up here all the time in the summer. I dithered and ultimately did add what I could. There are complete tracks on Peakbagger, so I could potentially add all of it depending on the license there.

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Hay en Louredo, mi pueblo natal, un peto de ánimas, una construcción popular, centenaria, donde se representa a unas almas en el purificador fuego del purgatorio y, sobre ellas, un angelito en medio de la Virgen del Carmen y san Antonio.

Situado en el barrio de Louredo, apoyado en la pared de una bodega, a un paso de la ruinosa escuela pía y de la bajada cara el cruceiro de O Tabolado, sufrió un cambio de posición. Y es que su situación original era en O Cazapedo, en la esquina del camino que sale de la plaza y la carretera que viene de O Coutiño, cerca de la posición original del cruceiro de A Torre (este se movió desde la esquina en curva, enfrente de la casa “da raiana” hasta la posición actual, pasando A Molinera, enfrente del transformador, a un paso de las casas de Lola y Edita).

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This is a crosspost from my blog.

I’ve been testing the latest alpha version of the RapiD editor. RapiD is a web-based editing environment for OpenStreetMap that incorporates special layers with map features from other sources you can easily copy over to OSM. Examples include Microsoft’s building footprint data, missing roads generated with machine learning, and open data from government GIS sources.

Because RapiD is not included in the dropdown menu where you can select an editor on the OpenStreetMap website, I created a few bookmarklets¹ for myself that I hope come in handy for mappers who want to have quick access to RapiD. They are self-contained and don’t read any content from your browser other than the current URL. If you’re not currently on openstreetmap.org or actively editing in the default OSM web editor iD, the bookmarklets will simply do nothing at all.

I tested these bookmarklets in Firefox and Chrome. You can find the source code here. When a new version of RapiD comes out, I’ll do my best to update the bookmarklets.

1. The bookmarklets are on a separate page, because this blog’s markdown parser has trouble with the javascript: links. ↩

Après 3-4 mois à dégommer du mauve dans le 22, voilà une image satisfaisante. Je me suis attelé à combler les vides dans les Côtes d’Armor à la fin de l’été 2022.

Plusieurs remarques:

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I found an old mining road that’s being maintained as a trail while staying by the river, so I added that. Then I got all fiddly and added a bunch of driveways. I wish I’d taken a picture of the map BLM had on their information board at Caddis Flat Campground (added details about it) because that map had a more official trail a little further east, also leading to a mine.

Today,Imma map till I drop.. let’s get some!!

I started off my excursions around Blue Lakes with explorations of what I suspected was an old mining road. It was clear it was from logging. It was also clear that although a few trees have come down, it’s being kept open for hiking. It certainly isn’t usable (or legal) for driving. I decided to add the system as a path. It’s outside the wilderness, so the bikes can use it too. Apparently I was almost to the end when I turned back.

I was surprised to see that the ATV trail hasn’t been mapped. I marked the bridge and got it a little further, but then it gets too close to the creek and the creek is often not in the right place and I got frustrated. It goes through to somewhere and connects to another trail that climbs soon after where I stopped. (That trail is also missing.)

Zákaz vjazdu nákladným vozidlám okrem zásobovania

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Logopädie List Lister Meile 85 a 30161 Hannover

Logopädie Kleefeld Scheidestraße 21a 30625 Hannover

Logopädie Hainholz Bömelburgstraße 35 30165 Hannover

Logopädie Bothfeld Sutelstraße 10 30659 Hannover

Logopädie Burgdorf Weserstr. 6 31303 Burgdorf

Langenhagen Walsroderstr. 47a 30851 Langenhagen

So I attacked the dreaded West Elk. I think I started faltering on marking trail visibility near the end, but I started off well on Coal Mesa. I marked the camp good camps. I didn’t mark the spring I found to camp that first night… Maybe I have to go back. I made sure the trail was really clear around the peak, which has some problems. Stay low, whatever you do! It doesn’t look like much, but it goes very directly for the last 40 feet.

I didn’t add any of the trails I didn’t see anything at all of, and there’s a bunch. I did make sure everything off the side of North Baldy was marked. I managed to connect it to the trail even. Put down some cairns. It looks like it probably connects to Beaver Creek far down rather than going around the top of the bowl that Beaver Creek occupies.

All that informal stuff around West Elk Peak is now marked as such and has difficulty and visibility. There’s some trail visible down low on the evil T4 track going north from the peak, so I decided not to give it visibility=no.

Added some more camps I’d noted along the way. It’s good info, it is. I couldn’t note the no camping. There’s quite a few lakes that have no camping allowed within a quarter mile, so it is something that is needed. Google was uniquely unhelpful deciding I was on about subjects that have nothing to do with camping.

I marked some of the trail I found as I left Sheep Lake (and the nice camp along it!). I adjusted the junctions into something sensible that at least resembles what’s on the ground. I marked the south route down as visibility=no and added a note that I didn’t see any evidence it was ever there. I did find a track on the other side of the lake that wound around to the trail which included one blaze and a cut log. Nothing at all for the larger trail.

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Before going to Dillon Pinnacles, I noticed one map shows the trail to the pinnacles (and a couple interpretive signs) while another shows a trail up Dillon Gulch. This trail predates the reservoir and just goes to a spring. (The map actually showed it just randomly starting at the water with no entry other than boat.) I found it signed and it is easy to trace all the way to the spring and no further as advertised. The sign was specifically giving the dates. The land between the NPS and USDA is state wildlife, I believe, and they don’t want you up there for the big game migration in late winter, early spring. And now you know from the map.

I hiked Ptarmigan Lake and pushed on to the nearby peak. The last part is cross country, but the since I did it by the road, I did almost all the trail. Since the road crosses the trail, I decided it would be good if it was mapped properly. The trail was marked T4. There is absolutely no point at which you need to get your hands out of your pockets for this trail. T3 is really pushing it. Everyone travels the trail next to the lake, which has huge steps and leaves the lake on a very steep slope. I noticed the higher trail (which one person was taking, so not quite everyone) that turns out to be very smooth and obviously the built one. I marked it, but only as old trail. Correctly, it should be marked as the actual trail.

There’s rumors there’s work happening on Lost Lake, so I didn’t touch that.

The picnic area over Cottonwood Pass has a well used trail to the edge of the wilderness. The old picnic area had a much larger trail that I found as I hiked about. There was a break and then obvious trail again as I hiked out to a big shoulder. I decided against adding this. My track is public for folks to see, though.

This hike up Turner Peak started along an informal trail that someone put up roughly. Might as well get it better. I didn’t bother with the rest of the track, but some of that on to the peak was very trail-like. Not so much my travel over to South Texas where the CDT travels now. I left it alone.

Harry Woods posted a diary entry a couple days ago about his attempt at editing every day for a year, and I started wondering what the records are for the most number of consecutive days that people have contributed to the map. I already had some code lying around for parsing the changeset history file so it was pretty easy to mine that data. It turns out there are some super dedicated mappers! Here are all the people who have editing for at least 1000 consecutive days:

Edit: Fix an error in table calculation (Thanks Aurimas Fišeras!)

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In einer Korrespondenz auf dem issue-tracker eines Routers auf Basis von openstreetmap Daten bin ich auf die default Einschränkungen für die verschiedenen Arten von Wegen hingewiesen worden.

Im lokalen Forum wollte ich daraufhin anregen, dass die Berechtigungen von track auf etwas der Realität näheres als ein vollmundiges yes gestellt werden.

Ein Vorschlag eines Teilnehmers aus einem Drittland war partial, was meiner Auffassung so ungefähr das bedeutet, dass es vor Ort noch erhoben werden muss. Dergleichen finden sich aber nur auf zehn Prozent der als track erfassten Wege. Trotzdem hätte ich beinahe geglaubt, dass das auf ganz Österreich gut zutreffe.

Offensichtlich ist das nicht so. Von mancher Seite wird der Standpunkt vertreten, dass wenn vor Ort nichts ausgeschildert ist, dann ist yes sehr wohl richtig. Mir entzieht sich bis dato, was das damit zu tun hat, ob in den openstreetmap Daten eine Einschränkung erfasst ist oder nicht.

Nun ja, es könnte in der Tat in den meisten Fällen so sein, dass wenn nichts erfasst ist, auch nichts ausgeschildert ist. Das allerdings deckt sich nicht mit meinen Beobachtungen in Tirol.

Wie das nun belegen? Sind ja hier wie dort nur Anekdoten! Also amtliche Daten geholt, den Intermodales Verkehrsreferenzsystem Straßengraph, a.k.a die GIP für mein Bundesland.

Das Shapefile in JOSM laden dauerte ewig. Wenn einmal geladen lief das Schieben des Ausschnitts aber recht flott. Super Sache dieser Editor. So lässt sich gut beurteilen, wie die openstreetmap mappings und die Kategorien in den amtlichen Daten korrespondieren. Sie tun es, mit Unschärfen an den Rändern zwar, aber Ja!

Dann entdeckte ich das geojson Format und kam auf die Idee, damit wäre es möglich, die Daten direkt auszuwerten. Hier zwei jq Einzeiler:

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Un metrominuto es un mapa esquemático de un municipio o urbe que representa las distancias entre los principales puntos de la misma y los tiempos medios que se tarda en desplazarse caminando entre ellos. Su diseño a base de puntos y líneas de colores los hace semejantes a los mapas de transporte público habituales en las ciudades.

Esta entrada describe los pasos a seguir para elaborar de forma sencilla un metrominuto de tu ciudad o zona de interés.

Paso 1: Selección de puntos

Selecciona un grupo de puntos de interés en la zona objeto de tu mapa, según su importancia o grado de interés para el público objetivo. La distancia entre puntos debe ser apreciable, si bien se recomienda que no sea mayor de 4 ó 5 kilómetros.

Con este primer paso, ya podrás conocer si tu mapa tendrá una disposición vertical u horizontal. Puedes usar herramientas en línea para la selección de los puntos sobre un mapa real de la zona (p. ej., Google Maps o uMap).

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