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Let's map missing turn restrictions in Canada

Posted by manoharuss on 20 July 2016 in English (English)

Turn restrictions are the last missing piece in the puzzle to make OpenStreetMap ready for accurate routing. With Mapillary street photographs and their traffic sign recognition, it is easier than ever to start mapping missing restrictions onto the map.

At the data team in Mapbox, we have been experimenting with creating mapping tools to simplify such efforts and after adding over 1,200 turn restrictions in 30 US cities, we are ready to start mapping in Canada with the help of the local mapping community! Our team will focus on the following 5 cities: Ottawa, Toronto, Montréal, Vancouver and Calgary

tr-example

How to contribute

Mapping

If its your first time mapping turn restrictions, read the guide to mapping turn restrictions using Mapillary to understand different scenarios and special cases.

Use the OSM navigation map to compare traffic signages from Mapillary and the map data for potential restrictions to add. You can also review the photograph and mark the restriction as valid or invalid.

Check out our project tracker for all the details and collaborating your efforts with the Mapbox data team.

untitled2 Marking a detected no left into a oneway as redundant restriction on the OSM navigation map

Mapillary

More Mapillary = More detected signages that can be mapped. Check the Mapillary coverage in your city and fill in the gaps! Calgary currently has the poorest coverage amongst the 5 cities. This tutorial will help you can get started with Mapillary.

Measuring progress

We estimate it to take 1 full week to review all the detected turn restrictions in the 5 selected cities with just our team. But could finish it off sooner and add more restrictions with a wider participation. These are the current number of restrictions present that were queried using Overpass:

Canada: 12,700

  • Ottawa: 447

  • Toronto: 1,129

  • Montréal: 372

  • Vancouver: 441

  • Calgary: 64

The road ahead!

It would be amazing to have the Canadian Mapping Community to help us out in making the map of Canada more navigable and enhanced. We would love to hear your ideas and thoughts on how to make our existing workflow better. Interested folks can contribute to the Mapillary coverage in Canada which would certainly help us add quality data onto the map! Let's all join hands in making OpenStreetMap the best!

Import account

Posted by Noel_import on 20 July 2016 in English (English)

This account is solely for the purpose of imports for HOTosm.

Up-to-date open data imagery - it is available, use it!

Posted by imagico on 20 July 2016 in English (English)

Last week BushmanK wrote about the use of up-to-date open data satellite imagery for mapping in OSM and noted what i also frequently experience - that awareness and interest within the OSM community regarding the large bandwidth of up-to-date near real time open imagery that is available today is astonishingly very low. Mappers do complain that imagery in Bing and elsewhere is frequently outdated and poor quality but few are aware that newer imagery exists and is available and in contrast to Bing etc. is often truly open data.

The real problem here is that as a result of this mappers keep wasting energy and time on tracing things from images that are hopelessly outdated and at the same time often also poorly aligned. At the moment approximately 15-25 percent of the Earth land surfaces are shown in Bing and Mapbox with 15 year old imagery that is poor quality in a lot of aspects.

With this blog entry i hope to somewhat further increase awareness of this subject among mappers. I have been for quite some time making available recent imagery from open data sources for mapping in OSM. This is only a small contribution for select areas but shows that a huge body of primary data is available today and is largely unused for OSM-mapping.

Here a list of the most recent additions - you can find the full set of images currently available on the OSM images for mapping and some more details in various blog posts:

satellite image samples

Northern Greenland July 2016

Images from 2016-07-17, the most recent ones of this remote area, better detail and more up-to-date than current mapping in OSM.

tms:http://imagico.de/map/osmim_tiles.php?layer=ls_polar2&z={zoom}&x={x}&y={-y}

http://maps.imagico.de/#map=7/83.190/-34.761&lang=en&l=ls_polar2&r=osmim&o=3&ui=8

Northern Ellesmere Island July 2016

Images from 2016-07-08 to 2016-07-15, recent images, partly overlapping the previous, poor and largely faulty data there in OSM based on imports.

tms:http://imagico.de/map/osmim_tiles.php?layer=nellesmere_ast_2016&z={zoom}&x={x}&y={-y}

http://maps.imagico.de/#map=8/82.699/-73.641&lang=en&l=nellesmere_ast_2016&r=osmim&o=3&ui=8

Vostochny Cosmodrome

From 2016-06-23, showing most recent building activities.

tms:http://imagico.de/map/osmim_tiles.php?layer=S2A_R089_N52_20160623T024048&z={zoom}&x={x}&y={-y}

http://maps.imagico.de/#map=12/51.823/128.234&lang=en&l=sat&r=osmim&o=3&ui=8

Panama Canal

From 2016-06-07 - the new locks.

tms:http://imagico.de/map/osmim_tiles.php?layer=S2A_R111_N09_20160604T154554&z={zoom}&x={x}&y={-y}

http://maps.imagico.de/#map=14/9.287/-79.919&lang=en&l=sat&r=osmim&o=3&ui=8

Darwin and Wolf islands, Galapagos

From 2016-03-11 - two small islands with poor coverage in other sources.

tms:http://imagico.de/map/osmim_tiles.php?layer=S2A_R040_N01_20160311T164128&z={zoom}&x={x}&y={-y}

http://maps.imagico.de/#map=11/1.556/-91.940&lang=en&l=sat&r=osmim&o=3&ui=8

Batam, Indonesia

From 2014 to 2016, quite a few islands missing or poorly mapped in OSM just a short distance from Singapore.

tms:http://imagico.de/map/osmim_tiles.php?layer=LC81250592016107LGN00&z={zoom}&x={x}&y={-y}

http://maps.imagico.de/#map=10/0.699/104.490&lang=en&l=sat&r=osmim&o=3&ui=8

All of these are prepared from open satellite data, of course the main advantage of this is you do not depend on my or others' services to make use of it. Processing raw satellite data is something you need to learn to do it but it is not that difficult in principle. You just need time and an open mind to get the necessary experience and some background in photography or color physics definitely helps. There are quite a few mappers who routinely map from custom processed Landsat images for example.

And since the remark will inevitably arise - yes, these are all lower resolution than what is necessary for tracing smaller buildings or other small scale features. That is the downside of having up-to-date open data for everywhere in the world. But as said the main target here is abolishing the 15 year old even lower resolution and much poorer quality imagery. A nice secondary use is supplementing older high resolution data with information on recent changes like in case of the Vostochny Cosmodrome and the Panama Canal.

Cameroon Manyu Division

Posted by Prof Müller J on 20 July 2016 in English (English)

I am mapping the remote area of the Bitieku clan in Manyu division, South-West Province of Cameroon (on the border to North-West Province). Data is based on Mapbox Satellite and own GPS tracks.

Location: Ayukaba, Mamfe, Manyu, Southwest, Cameroon

Reporte de la jornada de la generación de datos en Guapi, Cauca

Posted by kaxtillo on 19 July 2016 in Spanish (Español)

OpenStreetMap Colombia anunciaba hace una semana el apoyo a la iniciativa de pre eliminación de la malaria en sitios de baja transmisión, un proyecto de vanguardia en salud pública en el país, liderado por la Secretaria de Salud del Cauca en convenio con la Universidad Nacional de Colombia y el Wellcome Trust Sanger Institute en el Municipio de Guapi, Cauca, ubicado en el Pacífico colombiano, en la subregión de Suramérica.

En el desarrollo de la jornada, el proyecto "Herramientas, formación y redes encaminadas a disminuir la carga por malaria en Colombia" contrató un sobrevuelo con dron de la cabecera municipal de Guapi y facilito los productos generados para servirlos en el TMS de OpenStreetMap Francia y luego abrió el proyecto de mapeo en la tarea HOT #26, para actualizar la cartografía en OSM de la zona a estudio del proyecto, por medio del trazado de las edificaciones desde la imagen aérea, usando editores de mapas como JOSM o iD, bajo la etiqueta "source=#MapatonXGuapi #UNAL #SSDC #SangerInstitute #TM-CO Secretaría de Salud del Cauca", parametrizado automáticamente en el proyecto de mapeo. El voluntariado de la comunidad OpenStreetMap Colombia y Latinoamérica, que vienen trabajando durante años para formar un grupo de creadores de datos geográficos que ayudan a la toma de decisiones en situaciones de crisis, participaron activamente del proceso y en menos de una semana entrego el 100% de la tarea, generando mas de 3.174 edificaciones del casco urbano que se puede ver consultando la herramienta de análisis de OSM. Sumado a la tarea de mapeo remoto los miembros de la comunidad Guapireña se encuentra adelantando un proceso de captura de datos en terreno utilizando FieldPapers.

Comunidad utilizando FielPapers Comunidad utilizando FielPapers

Los datos generados en OSM como datos geográficos abiertos estarán a disposición bajo la licencia ODbL, para las organizaciones académicas, humanitarias, de gestión del riesgo, de planeación urbana u ONG's que puedan usar estos datos para sus objetivos.

Agradecemos una vez más el esfuerzo del voluntariado de openstreetmap y a la comunidad de Guapi, quienes participaron en el desarrollo de esta tarea que fortalece la iniciativa de eliminación de la malaria en Colombia, muy pronto esperamos compartirles más noticias.

Texto alternativo

Location: 20 de Julio, Guapi, Cauca, Colombia

1 million buildings in Los Angeles

Posted by manings on 19 July 2016 in English (English)

Part of our series of diaries sharing experiences on the ongoing LA Building Import into OpenStreetMap. Last month, we talked about the tools. Today, it's all about the data.

Just last week, we've hit 1.1 million buildings imported in LA City!
A great milestone as we are in the final stretch of import, validation and clean-up for LA City. Here's a few map-shots on what happened in the last couple of months.

What happened?

We made sure that the import process followed the community accepted guidelines. Instead of importing everything with scripts/bots, we used the Tasking Manager to allow volunteers to take part. We divided LA City into four TM projects and organized mapathons within LA City to kick start the process. The animation below shows the weekly progress starting from Southside all the way to SF Valley. Large chunks of buildings were added during and after every mapathon.

time Weekly progress, March - July 2016.

We asked volunteers to use a dedicated account and over 100 usernames participated. You can see this checkerboard pattern when you color the buildings by username/id.

user Colored by user ID, > 100 usernames.

Before the import, a lot of buildings already exist. In recognition and respect to the mappers before us, we made sure that existing buildings were properly merged/conflated (in JOSM, we use the Replace Geometry tool). This is a tedious process but this is how it should be done. By doing this, we are keeping the editing history of existing buildings.

version Feature version. Blue = v1 to Yellow > v4.

What was imported?

Aside from the good quality of building footprint, we included several tags that describes every building. This is not visible in our default map rendering, but these tags exist in most of the data we imported.

Building types

We've included building types based on LA Country's Assessors information.

types Colored by building type.

Year the building was originally constructed

There's a lot of history in the urban expansion of Los Angeles starting from the pueblo in 1700s up to today. The import data has a year_built attribute which we included in the import. You can now see the city's settlement history in OpenStreetMap.

year_built Colored by year built, 1800 - 2015.

Building heights!

Rendered in Mapbox gl-js

These are a few of the tags we've added. I'm excited to see what the community creates out of this data. Our friends at MaptimeLA started experimenting with the data already!

cm0fn3_vyaaws-x jpg_large

Photo by MaptimeLA.

Are you planning on using this data in your own map? Catch the team this weekend at the SOTM-US and show us what you created!

More info about the import is available in the following links:

Location: Jefferson, Los Angeles, Los Angeles County, California, United States of America

Mapping with Strava

Posted by joost schouppe on 19 July 2016 in English (English)

So I've been using the Strava data quite a bit recently. I knew the service from before, but then it was quite empty. The tip came from our übermapilliariator Filip when I was making too much notes mapping a nearby forest.

Strava for forest trails

I have mapped a lot of trails in Flemish forests. We're a densely populated piece of land, with very little forest (in fact, our environment minister literally said that "the purpose of a tree has always been to be cut down"). But even here, I have hardly ever visited a forest where all forest paths were mapped.

It requires local surveying as paths below trees are completely invisible, and we tend to do a better job mapping stuff you can see on sat pics... But even when you do go out to the woods, the resulting GPS tracks can be of bad quality. Strava to the rescue! Several million trips by hiking and biking-nerds are mashed together to give a clear indication of where people run and bike.

The easiest way to use it, is with the [Strava ID editor](strava.github.io/iD/), which comes preloaded with the layers you need. I often switch of the satellite imagery to improve visibility of the tracks. This ID version also contains the Slide tool, which lets you adjust geometry to the available tracks. I haven't had very satisfying results with that myself though. In Belgian forest, you can basically zoom in anywhere and find missing tracks. (For JOSM instructions, see the wiki)

Strava ID

Strava and surveying

Of course, you still have to combine this with some satpic reading skills, other sources and/or local knowledge. For example, when Strava, Wegenregister and Groteroutepaden GPX all point in the same direction, you can be pretty sure there's a path present.

I did spot some situations where people seem to be running straight through a meadow where no path is visible. And the standard view does not take into account time. Sometimes, clear changes are visible over time, see this experiment. So just looking at the global heatmap might get you mapping former paths.

timeslider.

Strava in Osmand

If you don't have other sources, or just want to go hiking somewhere you suspect mapping is incomplete, you can add this layer to Osmand. It will help you find paths with bad geometry, and help you find unmapped paths.Vague lines on the map, combined with a visible trailhead can be enough to verify the existence of the path. So you can add much more paths with just one survey. Note: I hid all polygons and road details on my view, which helps keep the map readable.

In Osmand

In the tradition of the app, the feature is well hidden. First of all, you need to have the "Online maps" plugin enabled. This is just a setting, no downloads required. Standard available layers include "Microsoft Earth" satpics and online OSM maps.

Strava isn't standard. To add it as a layer, you need to open the "Map source" menu, available under map settings. Scroll down till you find "Define/edit". The URL example is with blue lines. You can find more about this URL on the wiki

Setting it up in Osmand

Now your standard Osmand map is replaced with some blue lines. Great! Re-open the Map Source to get your "Offline vector maps" back. Now you can add the Strava layer as an Underlay or Overlay map. In the example above, I used it as an underlay with the basemap completely opaque. Forests (and other polygons) were switched off - but that does make for increased visibility.

(Note: I already contacted the Osmand Google Group with a feature request to make adding custom tiles just a little easier to use)

Location: Kluisbos, Buizingen, Halle, Halle-Vilvoorde, Flemish Brabant, Flanders, 1501, Belgium

OpenStreetMap HackWeekend: Hacking and more!

Posted by poornibadrinath on 19 July 2016 in English (English)

It was two fantastic days of hacking, discovering, sharing and generally having fun. OSM HackWeekend opened a lot of doors in the process of learning new things, sharing new ideas, building new tools, hacking on amazing stuff. It was the first time Mapbox BLR played host to two days of hacking, working on tools that build and escalate OpenStreetMap and the results were anything but ordinary.

dscn1508-001

Hack weekend (2 & 3 of July) served as a platform for meeting a lot of new and interesting people and the turn out we had for the event was equally diverse and intriguing. We had twenty one people attend the event from different places across India and it was fascinating to hear what their interests are and why they thought OpenStreetMap HackWeekend would broaden their perspective and give a new edge to their work profiles.

Day 1:
  • Day one of Hackweekend started with Arun (PlaneMad) taking the participants to the world of opensource mapping with a session on OpenStreetMap. Many participants were new to mapping on OpenStreetMap and this introductory session was the icebreaker and a conversation starter. With people slowly getting the idea of open-source mapping and how it came into being with OpenStreetMap beginning its reign, the focus slowly turned to the tools that maintain and perfect OpenStreetMap. Kushan took charge of explaining the goals of the HackWeekend and what we planned on accomplishing over the weekend and thus, the hacking ---------------- began!

osm hackday

Day 2:
  • Day two, even though it had lesser turnout than day 1, was no less fruitful. Everyone continued to work on the projects they started the previous day and by the end of the day we had a solid progress on the tasks initialized. Here's the hackpad of the ideas that everyone worked on, and to summarise what everyone worked on:
    • Manoj, Maning, Jinal and I worked on localising iD editor by translating instructions to Malayalam, Tagalog, Gujarati and Kannada respectively.
    • OpenStreetMap main website has had some translation to Malayalam by Manoj and also, he worked on visualising 3D buildings.
    • Ram Gopal (VoidSpace) worked on Open GTFS: a way to generate GTFS feeds for anywhere in the world.
    • Prashant and team worked on using GL JS to visualise population and literacy rate in India.
    • Asif and team worked on creating an app using android SDK that tracked the location of a transport and estimate the amount of time it would take to reach the next stop or station.
    • Ravigopal did a Jekyll and css re-organisation of the OSM India website.

starred photos

Amidst all the hacks and so much information to process, we didn't realise it was time to conclude the event. With a brief session of discussing what everyone worked on and what were their learnings from two days of hacking, we wrapped up the OpenStreetMap HackWeekend. Eagerly looking forward to more hacking and more fun!

dscn1694-001 Cheers!

living_street und maxspeed...

Posted by MKnight on 18 July 2016 in German (Deutsch)

... hab ich mich da eigentlich schonmal ausgekotzt? Nein? Nun denn:

livingstreet mit maxspeed Bild zeigt JOSM mit allen in Deutschland gemappten living_street, die zusätzlich mit maxspeed gemappt sind. (schlappe 11.000 Stück...)

Ja, ich versuche mich so kurz wie immer zu fassen:

Gesetze in .de sind grob verallgemeinert so formuliert: es gibt kein maxspeed, Höchstgeschwindigkeit ist Schrittgeschwindigkeit. Das wird je nach Ordnungshüter und/oder Gericht unterschiedlich interpretiert. Die Meinungen gehen im Groben von 5-11km/h auseinander.

Sagte ich schon, dass es kein Maxspeed gibt? Oh, tatsächlich.

Was es übrigens überhaupt ganz und gar nie nicht gibt* sind living_street mit maxspeed=30 oder maxspeed=50 oder dergleichen. Wirklich nicht! Indianerehrenwort!

(* maxspeed=7 (etc.) ist zwar genauso falsch, aber der gute Wille ist erkennbar. Fühle Dich nur leise und ganz lieb angeschnauzt!!!!1)

Sodala, als Kaufmann noch paar Statistiken:

  • maxspeed=20 - 0492 ways
  • maxspeed=30 - 3751 ways (!!!)
  • maxspeed=40 - 0002 ways (was isn da kaputt?)
  • maxspeed=50 - 0114 ways
  • maxspeed=70 - 0008 ways (nee is klar!!111)
  • maxspeed=100 - 0006 ways (DU! MICH! AUCH!)

Ein paar overpass-turbo-abfragen für die 2-3 Leute, die das Problem aus der Welt schaffen oder wenigstens verkleinern möchten:

oder die grosse Keule:

Disclaimer: bevor wer auf die Idee kommt meinen Namen zu scannen, ja ich habe auch Leichen im Keller, wo mir das entweder nicht aufgefallen ist oder ich mangels Ortskenntnis nur eine Note gesetzt habe.

"History of Cartography" in PDF format

Posted by ImreSamu on 18 July 2016 in English (English)

"On this site the University of Chicago Press is pleased to present the first three volumes of the History of Cartography in PDF format. Navigate to the PDFs from the left column. Each chapter of each book is a single PDF. The search box on the left allows searching across the content of all the PDFs that make up the first six books."

http://www.press.uchicago.edu/books/HOC/index.html

( via Hacker News: https://news.ycombinator.com/item?id=12116231 )

 The History of Cartography, Volume 1

Simple Reflections

Posted by Zabot on 18 July 2016 in English (English)

Another quick update, this is the first step on the road to reflections. Mirror Lake This looks pretty good, but we can immediately see a few issues. The trees on the left are not visible in the reflection, and we had to use a prebaked skybox instead of the procedural sky. The surface of the lake is also incredibly still and perfectly reflective, which looks great for a small lake or pond, but would be off-putting if seen on a large river or the ocean.

Stay tuned for more as I make the water a bit less perfect.

Ностальгия

Posted by Zkir on 18 July 2016 in Russian (Русский)

Нарисовал несколько пешеходных дорожек. Нашел объекты, нарисованные мной, как показывает история, более 7 лет назад.

Как время летит...


I have added several footways. While drawing, I have found several objects, added by me "more than 7 years ago", as history says.

Tempus fugit!

Location: Ферма, Сергиев Посад, Сергиево-Посадский район, Московская область, Центральный федеральный округ, 141315, Российская Федерация

Mapping my hometown Visakhapatnam

Posted by upendrakarukonda on 18 July 2016 in English (English)

Visakhapatnam is my hometown, it is the largest city (in area) in Andhra Pradesh. It is called the City of Destiny.

View of the sunrise in the beach makes my city pretty special from many other cities. One must experience the panoramic sea view from Kailasagiri Hills ropeway. It's really awesome and will be your most memorable moment. This city always stands among top in natural scenery. Recently, India signed agreements for developing smart cities and I'm glad that my hometown was one among them.

sunrise_over_bay_of_bengal_at_rk_beach_011 Sunrise over Bay of Bengal at Ramakrishna beach in Visakhapatnam. Photo by Srichakra Pranav.

dc-cover-uv41mprfd12q674cf2hiekn9j4-20160318072218 medi 1 People enjoy a cable car ride at Kailasagiri Rope Way in Visakhapatnam. Photo from Deccan Chronicle.

When I came to know about OpenStreetMap and it's crowdsourcing, I feel that I should contribute being a citizen of this city. An updated map will help anybody who want to know more about my city and I am happy that I am part of it. I mapped the region around the Ramnagar. Though it was well mapped, I concentrated on adding point of interests (POIs), missing buildings, streets. I also spotted some errors which I fixed. This made my hometown in OpenStreetMap better.

Before mapping:

screen shot 2016-07-13 at 10 43 15 am

By following mapping guides using JOSM the mapping journey was effortless and thrilling.

These are what I added: - missing POIs, - buildings and streets, - amenities.

After mapping:

screen shot 2016-07-16 at 12 46 24 pm

During the mapping I learned the following:

  • Ensure that the correct tag was used. There are lot of tags in OpenStreetMap and we should always verify if we used the correct.

  • Maintain consistency of coverage. As much as possible, we should trace each and every building in a particular area (if visible in imagery). This ensures that the data doesn't have gaps.

  • Maintain quality of tracing. In the case of buildings, we should make sure that the outline location is at the base of the building according to the guidelines in the wiki.

Being a gourmand I always search for tasty and delicious food. Definitely that experience helped me to mark more restaurants, where they were not mapped before. I also mapped few amenities and shops which helps to explore more about my city.

screen shot 2016-07-18 at 4 35 35 pm

It was fun and exciting to map my hometown. Apart of that, I also feel responsible to make sure the map is accurate and free of errors. I will continue mapping my hometown by adding more valuable data.

Location: Lalitha Nagar, MVP Colony, Visakhapatnam, Vishakhapatnam District, Andhra Pradesh, 530001, India

2016-07 Import civici Regione Emilia Romagna

Posted by Ale_Zena_IT-import on 18 July 2016 in Italian (Italiano)

dopo aver creato la pagina wiki http://wiki.openstreetmap.org/wiki/IT:Emilia_Romagna_import_numeri_civici_2016 sto iniziando ad importare piccoli comuni nella Provincia di Piacenza come test per avviare poi l'import vero e proprio. Sinora si sono resi disponibili altri 4 utenti, speriamo che altri se ne aggiungano.

ЕженедельникОСМ №312

Posted by Sadless74 on 18 July 2016 in Russian (Русский)

05/07/2016-11/07/2016

Logo

Свободное подключение к тайлам от MapQuest выключено с 11 июля 2016 ^1^ | © MapQuest

Картографирование

  • Bryce Nesbitt просит высказать замечания по предложению об использовании механических изменений, чтобы изменить тэгирование выгребных ям.

  • Изменения некоторых сотрудников Mentz в Дюссельдорфе вызвали замешательство на немецком форуме.

  • Пользователь mueschel обнаружил некоторый SEO-мусор в OSM и подобные чудачества, он хочет узнать что делать с этим. Он нашёл способ поиска мусора через теги и ключевые слова подобные Keywords=* и payment options=* (sic!).

  • С 9 июля доступна новая версия MapRoulette. Задачи из старой версии будут перемещены в новую версию MapRoulette и могут быть продолжены. Внимание:

  • Martijn van Exel также написал два обучающих руководства по Созданию задач: Часть 1 и Часть 2. Так что если вы новичок в создании Заданий, вы можете попробовать.

  • Tijmen Stam предлагает некоторые изменения в схему тэгирования Общественного транстпорта.

  • В рассылке talk-de, Tom Pfeifer "жалуется" (перевод) что многие парки не имеют туалетов для людей с ограниченными возможностями - не говоря уже о том что часто вообще не имеют каких-либо туалетов вообще.

Сообщество

  • Большая американская геокомпания пострадала от неудачного чувство юмора пародии на "What 3 Words" (предупреждение - прочтение может быть не безопасно для чтения на работе). Еще одно восхитительное предложение по проблеме межкультурной адресации было предложено в списке рассылки talk.

  • Группа картографов занялась проблемой создания правил для автоматических исправлений командой DWG если что-то было сделано неправильно.

Импорты

  • David MacNeil описывает импорт зданий которые он сделал для части Канады и надеется получить разрешение а не откат его правок из-за того что он не следовал рекомендациям по импортам.

  • Lisa Mastaler из географического института University of Heidelberg хочет импортировать в ОСМ информацию о тротуарах (путем добавления тегов на линии улиц) в городе Heidelberg. Смотрите обсуждение в списке расслке Talk-de. (автоперевод)

Фонд OpenStreetMap

Гуманитарный OSM

  • Организация "Врачи без границ" сообщает о своем текущем сотрудничестве с проектом Отсутствующие Карты на Иджви, острове в озере Киву в Конго.

  • Статься на сайте "Врачи без границ" служит примером полезности дистанционного картирования для работ, которые они делают на месте.

Карты

  • Открытые тайлы MapQuest отключаются с 1 июля. Более подробную информацию можно найти на самих ошибочных тайлах, в списке рассылки и в твите от Richard Fairhurst.

  • HistOSM новая карта которая отображает исторические данные, которые присутствуют в базе данных OSM.

  • Geraldine Sarmiento играет со "сферическим картографированием" и тестирует его используя разные текстуры.

  • В своём дневнике OSM, пользователь tyr_asd представил обновлённую карту отображающую как изменилась плотность точек в ОСМ за два последних года.

switch2OSM

Открытые данные

  • Aquaterra (бельгийская компания оказывающая географические услуги) обновила в своём портфолио цифровых карт. Включила туда некоторые бесплатные карты основанные OSM, в том числе и в векторном формате. (твит от mapshop_be). Программирование

  • Точка 4294967296 является первой превышающей 32 битное число. Она была загружена во время начала финального матча чемпионата Европы по футболу.

Программы

Программа Версия Дата релиза Комментарии

QMapShack 1.6.2 2016-07-03 -

Traccar Server 3.6 2016-07-09 Добавлен Geofencing

Mapillary iOS 4.4.1 2016-07-10 некоторые исправления

ODL Studio 1.3.4 2016-07-11 Много новых возможностей при расчёте маршрута

список предоставлен OSM Software

А вы знаете …

  • ... что есть музыкальная карта Канады? Сделана 15 летним программистом Laef Kucheron.

  • ... про OSM2VectorTiles? Набор векторных тайлов с мировым охватом, который прост в использовании и расширении, и размером, который подходит для записи на USB-флешку. (твит от sfkeller)

Другие “гео” события

  • CartoDB изменила своё название на CARTO. Пожалуйста, не путайте его с CartoCSS или стилем OpenStreetMap Carto!

  • geocacher.de представляет новейшие устройства от Garmin, Oregon 700 и Oregon 750t. Oregon 750t поставляется в предустановленными картами OSM. Оба устройства могут быть подключены к смартфону для получения данных из Интернета (информации о погоде, тайниках).

  • Технический университет Darmstadt разрабатывает проект под названием "Ui! Traffic" приложение для смартфона, которое помогает, регулировать скорость движения транспорта, чтобы можно было продолжать движение через последовательность зелёных сигналов светофоров. Карта для браузера использует OpenStreetMap.

  • Toyota объявила о том, что они начнут создавать свои собственные карты высокой точности используя только бортовой фотоаппарат и GPS.

  • Вот запрос к Wikidata для извлечения всех зданий которые охватывают границы между странами. Для того, чтобы достичь того же с данными OSM предполагает загрузку всех границ и зданий рядом с ним с помощью путепровода API, а затем использовать другой инструмент, чтобы выяснить, какие из них пересекаются с теми границами, если у вас есть все данные OSM в PostGIS, то вы можете сделать пространственный запрос непосредственно.

Предстоящие события

Где Что Когда Страна

Trentino Presentation of a hiking map done using OpenStreetMap data, Storo 15/07/2016 italy

Kyoto 京都国宝・浪漫マッピングパーティ:第1回 北野天満宮 16/07/2016 japan

Kyoto 京都オープンデータソン2016 vol.1(青蓮院、円山公園、粟田神社) 18/07/2016 japan

Nottingham Nottingham 19/07/2016 united kingdom

Seattle '''State of The Map US 2016''' 23/07/2016-25/07/2016 united states

Tokyo '''State of The Map Japan 2016''' 06/08/2016 japan

  • Примечание: Если вы хотели бы видеть Ваше мероприятие здесь, пожалуйста, поместите его в календарь. Только данные из этого календаря появится в ЕженедельникеОСМ. Пожалуйста проверьте ваше событие в нашем публичном календаре, сделайте предпросмотр и исправьте его в случае изменений, если необходимо..

Этот выпуск подготовлен Hakuch, Laura Barroso, Nakaner, Peda, Polyglot, Rogehm, SomeoneElse, derFred, escada, jinalfoflia, mgehling.

comparing openstreemap-carto to other map styles

Posted by Mateusz Konieczny on 18 July 2016 in English (English)

This is the first part of comparing openstreetmap-carto and other map styles. Note that comparison is focused on finding things that may be improved in openstreetmap-carto.

Relief data

All maps in my basic sample turned out to show relief data. It ranges from subtle, almost unnoticeable to extremely heavy and dominating over all other features. Is is open question whatever adding rendering of elevation data to openstreetmap-carto would be desirable. But it is clear that rendering elevation data is common, and in some cases effect is great.

i

But even assuming that it would improve map there are some complications:

  • more non OSM data - what would run contrary to attempts reducing usage of external sources. It may be even considered as misleading given that OSM has no terrain data.
  • Default map already renders many things. Adding something completely new to render would need really good justification and would be very complicated to do well
  • To render elevation data source of worldwide elevation data on suitable license is necessary. Some data is available but either it requires major work to fix voids/peaks/pits (see http://www.imagico.de/map/aster_gdem.php http://www.imagico.de/pov/earth_srtm.php http://www.imagico.de/map/srtm1_en.php for some examples of complication). There are some sources with this problems partially fixed - http://srtm.csi.cgiar.org/ and http://www.viewfinderpanoramas.org/dem3.html seem to be the most popular, but both have a problematic copyright status. First has "Users are prohibited from any commercial, non-free resale, or redistribution without explicit written permission from CIAT", second claims that "Elevations and contour lines are facts that should be ineligible for copyright". While I agree that this should be ineligible for copyright I am not sure whatever these data is eligible for copyright (or fall under equivalent laws). AFAIK it is likely to be covered under database rights (collection of data may be protected even if individual entries are not copyrighted and there is no creative work involved).

See comparison of maps in a basic sample.

Landmarks

The previous comparison is revealing also another weakness in openstreetmap-carto - it is not capable of diplaying landmarks earlier. Google maps is fairly good at this - though with results badly affected by fact that "business paid for advertising" is one of criteria for landmark. Sputnik is trying, sometimes with fairly good results, sometimes with rather poor. But this problem is mostly affecting higher zoom levels.

On lower zoom levels mostly two types of landmarks are visible - "the highest mountain in region" visible above gives quite good results.

a

Sputnik seems to be also quite good at deciding which airports should be rendered. There are some mistakes, but overall their algorithm works fine. See Atlanta or Bogota with cluster of airpots to the west and cluster of airports in the eastern direction.

It is interesting whatever solely OSM data is used here.

See "Too many tiny private airports on the map at small scales".

Old Satellite Imagery of the Philippines

Posted by compumatrix on 18 July 2016 in English (English)

The Satellite image on these maps in the Northern Part of the Philippines is around 20 years old.

MapQuest Stops Serving Tiles

Posted by ryebread on 17 July 2016 in English (English)

So, I've decided to look at GNOME Maps yesterday and found that this happened: GNOME Maps

http://open.mapquest.com/ shows the following message:

Beginning July 2016, this version of MapQuest, along with Open.MapQuest.com, will no longer be available. We apologize for any inconvenience. If you're using a map generated from this site on your website, please visit our Developer blog for information on how to transition your map to our updated tiles.

So now all the tiles displayed by MapQuest are hosted on MapBox servers, and every request requires a key to be provided.

actually we don't do the maps anymore, we use Mapbox. MapQuest is focusing on some mobile and IoT applications, routing and direction engines rather than maps

-- http://stackoverflow.com/a/38356148/340480

There are no satellites

Posted by AlHAIDARY KHALID on 17 July 2016 in Arabic (العربية)

There are no satellites on the map, we can't see the building or street or shopping...

Problem with minor railways pretending to be major

Posted by Mateusz Konieczny on 17 July 2016 in English (English)

There is one common tagging problem - missing service tags on minor railways. It leads to a poor rendering on lower zoom levels, as renderers are rendering minor service tracks like important railways.

It is quite easy to spot places that require fixing by browsing map on lower zoom levels - see for example https://www.openstreetmap.org/#map=7/34.840/-95.902

This place at times of writing has noticeable bundle of rails near McAlester, indicating place where somebody mapped minor railway tracks without marking them as minor (note for this case is at https://www.openstreetmap.org/note/630900#map=13/34.8597/-95.8650)

bundle

See http://wiki.openstreetmap.org/wiki/Key:service#Railways for documentation how service tags should be used for railways. Note that remote mapping generally is not feasible as result of subtle differences between yard and siding.

aaa

Image by Basil D Soufi, CC-BY-SA license.

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