Recent diary entries
OpenStreetMap Carto 2.34.0 has been released and rolled out to the openstreetmap.org servers. It might take up to 48 hours before all tiles show the new rendering.
- better rendering for highway=path/footway/cycleway - this is the next iteration of improving how footways and cycleways are displayed. Unpaved footways are now visible on natural=bare_rock and there are now three classes: paved, unpaved and unknown surface #1788
- man_made=bridge is now rendered #1633, #1791
- new rendering for landuse=quarry #1696
- amenity=veterinary is now rendered #1656
- amenity=community_centre is now rendered #1744
- amenity=prison and landuse=military rendering takes in account area size #1739
- consistent color for boundaries #1773
- tweaked zoom level for amenity=car_sharing #1762 and amenity=car_rental #1761
- Mapnik 3 preperations are now finished. The style now supports Mapnik 3. Most of the work was done on the Mapnik side. #1792
A full list of changes can be found on Github.
It is a good idea to check whatever bridges in your region are tagged for renderer - mistagging bridges as buildings is quite popular (only rare constructions fit definition of building=bridge - building=bridge is brown and man_made=bridge is gray).
For people interested in adding surface tags in their area - here is a helpful overpass query (zoom in before using "Run" button): http://overpass-turbo.eu/s/b88 This query return ways without surface tags and ones tagged with tags not documented as valid surface values. Only ways with highway=footway/path/cycleway are displayed. In nearly fully mapped regions one may modify query to search for missing surface also for other highway types.
As always, we welcome bug reports at https://github.com/gravitystorm/openstreetmap-carto/issues where they will be tracked.
Previous release announcement: http://www.openstreetmap.org/user/pnorman/diary/35589
Dear OSM users,
Grass&Green is a research project aims to improve the classification of grass-related entities. Actually, the main aim are to 1) develop an appropriate classification of entities to support more use;2) guide the participants towards better understanding of the class;3) enrich the OSM data; 4) correct the miss classified data.
The research is done at Bremen University by Ahmed Loai Ali. The research argues that the appropriate classification of entities comes from the inherent characteristics of the entities and its geographical context. For example, when an area covered by grass and contains amusements and leisure properties then it is recommended to be classified as park, garden, recreation,..etc. Whereas when an identical entity contains nothing and full will woody plants, then it would be better to classify it as forest. While in other situation when a grass entity located between roundabouts and besides highways and aims to decoration purpose it could be classified as grass. When the entity used for agriculture then its field, farm, ..etc. For further details you could read our research publications.
The tool that we develop focus currently on German data only, and we still analysis the classification within the city boundaries. So, It represents a way to improve our research and our research plan still have more items.
The tool is online under http://opensciencemap.org/quality/. We need to understand how participants see the classification of grass-related entities. We need to check if participants could really able to classify these type of entities correctly from only satellite images and local knowledge. To which extent is our generated recommendations matches with participants' opinion.
Hence, It is a kindly call for participants. Let's improve our data sets, Let's understand various conceptual perspectives. I would appreciate your participation. Your comments and feedback and more than welcome.
Ahmed Loai Ali
It's the nearly the end of summer break for me. Since my dad is not working this week, our family has been taking vacations. And while I'm away from home on vacation, I do surveys for OSM. With school starting soon (next Wednesday), I can't check OSM frequently anymore. I feel I'm putting myself in a time crunch. Locally, there is stuff that I want to survey. On top of that, there is stuff from vacations that I want to enter on the map.
This past Monday and Tuesday, I was at Government Camp, Oregon for a trip to the Mt Hood area. Along the way on US 26, I was recording the speed limits on it. Then, there are the POIs. I managed get more info for some of them (Summit Chevron was probably my best). Since the Bing imagery was pretty bad over there, I barely got to add building footprints to the map.
Tomorrow, I'll have a trip to the Seattle metro area. I know that I'm going to Bellevue and Seattle, and staying at Everett for the night. I don't know what I'll run in to at my time there. I'll be planning to add exit signage for I-5.
Locally, I still have stuff to do. Much of the speed limit data over here is wrong or missing, and I'd like to change that. I just want to start improving a small section of C-TRAN route 30's bus stops that are not part of other routes.
When my vacation workflow takes over my local workflow, I feel like I'm working too much in this time crunch. Due to school, I'll be reducing my capacity at OSM dramatically. I'll be checking and surveying by bike on weekends though.
Here are my suggestions/demands if you're camping on crown land:
Clean up after yourself; if you can carry it in, you can carry it out! Just because there isn't a ranger looming around to fine you/clean up after you, doesn't mean you have the right to leave trash lying around. Not only does it make the site look like crap, it also attracts more animals and pests. To add, the fire pit is not a trash can.
There aren't any outhouses/treasure chests, so dig a hole! Mark a path well away from the site and go at least 100m from the water source. You'd think "don't shit where you eat" would be universally known, but I have come across a big steaming mess with a wad of paper only feet from the site more than once. To add to this (and I'm looking at you ladies), collect and burn your toilet paper. Every time you need to wipe, collect the used paper in a paper bag, and burn it. If this isn't possible, at very least bury it like your poop.
Please just bring a water purifier of some kind; the risk of getting parasites might be small in pristine water, but purifiers are so convenient nowadays that it's not worth going without. I have a Sawyer Mini filter, it weighs nearly nothing and I just fill a bag with water and hang it on a branch to drip (which takes a couple minutes). Chlorine or UV purification is even easier.
One of the best things about crown land is being able to camp where you like! Sometimes you just come across a very ideal spot, but sometimes you underestimated your plans and have to make do with what you can. If this happens, and you end up on a spot you don't intend to return to in the future, don't make unnecessary "improvements" to that site. Clear a spot for your tent, don't cut anything down you don't have to, and only build a fire if you need to - put that stove to use. If you had to build a fire, remove the fire pit and clean out the contents before leaving.
As for established campsites, do what you can to improve it. Clean up, clear brush, whatever little bit you do helps. These sites are user maintained, treat them as such.
Firewood! Great, you don't have to pay the park office for wood! The forest will provide. Only burn dead wood. I have camped for years without bringing a hatchet or axe, you don't need to cut down trees to get wood. There is plenty of dead fall and branches lying around to keep that fire going day and night. Collect the smaller stuff, it's easier the carry, and you can break it by hand - less chance of getting hurt. If anything I would bring a breakdown buck saw, it's safer and faster.
To me, the biggest benefit of camping on crown land is the seclusion. I don't need to check in, I'm not restricted to a site reservation, I can go where I please, and in a lot of cases I won't see another person for days. It's important to be more prepared since you won't have the luxury of park staff, rangers, established routes/directions, or any other resources a park might offer.
There are still plenty of places in Ontario without cell service, so tell others where you're going and when you'll be back. If you're accessing on an old back road/logging road and are parked way out in the woods, hide your keys somewhere on the outside of the vehicle (under the bumper or something). Unless there is a lot of traffic where you park, there is no reason to risk losing your keys.
Lastly, Enjoy and have a safe good time, and please add more findings!
The Open Data movement in Taiwan is growing fast. In July, after half year of discussions between authorities and communities, the data.gov.tw platform released a new, permissive, CC-BY convertible open data license. It is a game changer for the open data community, and now for the OpenStreetMap Taiwan mappers.
In this week, the National Land Surveying and Mapping Center, or the NLSC, announced open data edition of Taiwan e-Map under new open data license. The zoom level of the open data edition is limited to 1/18000 or z15, but it already contains a lot of data that is not available in any other sources.
Great quality of NLSC maps
And most importantly, the accuracy of NLSC maps is superior. Take a look at it with Strava Heatmap. It is accurate not only for the downtown:
But also for mountain area where accurate orthophoto is hard to achieve:
I beilieve it has < 3m accuracy for most highways in Taiwan. For now, it should be available for tracing.
Celebrate by Tracing!
The community is very happy with that, and now we are working hard on tracing things that is not available before. Take Da-Yeh University for example, both Bing and Mapbox are not working, but now we can trace the place with NLSC data:
And a lot of village streets in Changhua. (In fact, in Changhua, you can only find the ref in maps!)
Go out and map more!
I know that OpenStreetMap is all about "local knowledge", but the openness of more map sources should give us more opportunity to get a better result in less time.
The cloudy imagery in Changhua made the map progress there slower. It is now finally resolved with Strava Heatmap and NLSC Open Data. Now people can add more POIs without wondering why no roads present here.
Now it is time to go out and map more!
looking around the maldives, it has some pretty rough coastlines or islands missing altogether. I am assuming most of the coastline data was from the prototype global shoreline data from the NGA (which is junk). get out and map some islands people!!!
have a good weekend!
A few weeks ago pedrito1414 asked me to determine the share of HOT contributions that are attributable to Missing Maps. It took me a while to get around to it... but I finally did. If you follow me on Twitter you may already have seen a couple of these, but here's the full set.
(Interesting to see the post-Nepal uptake in MM activity. I didn't actually check where this activity is going, but I expect the main driver are the mapping efforts for South Kivu, a new Missing Maps initiative launched in June with a very ambitious geographic scale.)
(Note that averages are misleading, it's unlikely that many MM volunteers actually contribute that much. These contributor stats are typically long-tail distributed, with a small subset of highly prolific users that raise the overall average, and a large number of people who contribute little. In fact a good mantra for any community research is "there is no average user", partially because of the prevalence of long-tail distributions. Investigating the actual distribution of MM contributions is a task for another day...)
Wow. There are some interesting challenges in trying to figure this out.
I have figured some things out about how to find TIGER info in OSM. I can do things like look for "tiger:reviewed"="no".
I have downloaded a bunch of the TIGER data. I am going from the directories under ftp://ftp2.census.gov/geo/tiger/TIGER2015/. One challenge I am having is finding the longitude and latitude data. I know it is there somewhere. Is it in the files under EGDES? No. Under ROADS or ADDR? No. Only 40 or so more to check.... But I am looking at only the dbf files in those zipped files, using the dbf2mysql utility for Ubuntu. Is the lat/long data only in SHP files? That would be obnoxious.
But the TIGER data does have TLID fields. So this should help me. Because OSM features have a "tiger:tlid"=num value. So, I should be able to pick a TLID from the TIGER data and see it in OSM, or see and id on OSM and find it in the TIGER data, right? Maybe not so much.
I have over 12,000,000 edges. I have all of OSM. Can I find one place where an id appears in both? No. How should I search? Randomly? I have done a bunch of random checks and so far I hit nothing. Which kinds of id values appear in both? Does OSM only include polygon objects? Or any of the other 20 or so types in TIGER? There are so many ways to slice this. I am sure when I figure this out, it will be sooooooo obvious..... :-)
We will see.
Another successful field trip for Childtime Studios!
If you just want to try it out right away here it is: http://k1wiosm.github.io/checkautopista2/
I have been working on this for months now. The new version of CheckAutopista is faster, easier to use on mobile devices and has been completely redesigned from the ground up.
What is CheckAutopista?
CheckAutopista is a quality assurance tool for motorways. This tool allows you to select a motorway in OSM (if it is tagged in a relation with
route=road) and check a lot of features in it.
Car navigation is clearly one of the most popular use cases of OpenStreetMap data. Assuring that data is of high quality is a hard task, and even harder if we don't have any tools that help us detect missing, incorrect or old data. That is how visualization tools can help us.
CheckAutopista allows you to visualize a motorway in a simple interface using colors to detect missing information such as maxspeed, lanes, destination, exit_to, name, ref and to visualize exits, toll booths, service and rest areas.
What is new on CheckAutopista2 ?
CheckAutopista now comes with a custom designed background map which emphasizes motorways.
CheckAutopista has been totally remade externally trying to make it more beautiful and easier to use.
CheckAutopista can be used easily on small mobile devices. You can change the size of the circles on the settings.
CheckAutopista now supports
destination:int_reftags on the exit panels.
I am trying to contribute to the usage of
destinationtags instead of
exit_totags, so CheckAutopista now uses the green color only for
destinationand yellow for
CheckAutopista is now much more efficient on the Overpass API requests making it much faster.
CheckAutopista has also been totally remade internally to make it faster and improve on the readability of the code.
Here are some examples of some motorways of the world on CheckAutopista:
That is all. I hope you like it. If you have any suggestions please leave them in the comments below and if you would like to see the code, report any bug, contribute or fork it: https://github.com/k1wiosm/checkautopista2
If you just want to try it out right away here it is: http://k1wiosm.github.io/checkautopista2/
...он садится на велосипед, достаёт блокнотик/смартфон и мапит свой город поквартально. Результаты сей деятельности в исполнении автора видны из приведённой ниже схемы:
Конечно, в "красных" кварталах на севере не только квартиры добавлены: если бы я занимался только этим, то было бы слишком просто. Там и все дороги нарисованы, и дома в 3D, и лежачие полицейские, и детские площадки, и много чего ещё. Тут ведь как: начнёшь с одного, а там вылезет ещё что-нибудь, а потом ещё и ещё. Расположение подъездов малоинформативно, если дом нарисован криво, а если выправлять его, придётся и дороги двигать, и заборы, и т.д. Но именно по ситуации с addr:flats результаты работы нескольких месяцев выглядят максимально наглядно.
В общем, за 4 тёплых сезона (немного - в 2011, 2012, и побольше - летом 2013, и в июле-августе нынешнего) в OSM были внесены номера квартир в более чем 10 тысячах подъездов, в которых проживает, по общим прикидкам, миллион человек. Не обошлось конечно и без интерполяции, там где она была уместна. Тем не менее, считаю полученные данные достаточно валидными для подсчёта численности населения в том или ином квартале (исключая, пожалуй, лишь общежития и подобные им здания - к ним нужен отдельный подход).
Два года назад я первый раз подбил статистику по использованию тега addr:flats. Что же изменилось с тех пор? Общее количество употреблений тега возросло в три раза, с 15 до 47 тысяч. При этом доля России не только не уменьшилась, но и выросла, превысив 72%; а вместе с ближним зарубежьем достигла 90%. Рейтинг же по городам, по состоянию на нынешний день, выглядит так (топ-22):
- Санкт-Петербург 12917
- Москва 4994
- Витебск (Беларусь) 3876
- Владимир 1342
- Краснодар 1273
- Россошь (Воронежская область) 1209
- Луцк (Украина) 1206
- Киев (Украина) 995
- Жуковский (Московская область) 886
- Новосибирск 806
- Томск 776
- Выборг (Ленинградская область) 745
- Троицк (Челябинская область) 729
- Коломна (Московская область) 694
- Архангельск 671
- Ульяновск 538
- Екатеринбург 421
- Хельсинки (Финляндия) 389
- Авдеевка (Украина) 384
- Калуга 332
- Каменск-Уральский (Свердловская область) 328
- Шлиссельбург (Ленинградская область) 300
Вид рейтинга очевидно странный, и наличие в нём целого ряда райцентров говорит о том, что даже в России тег addr:flats используется лишь отдельными энтузиастами, рисующими карту "в поле". Можно даже сказать, что на постсоветском пространстве он является одним из индикаторов происхождения данных (а также и их качества). Ведь вряд ли где-то есть базы в открытом доступе, где содержатся геопривязанные данные по нумерации квартир.
Fiz a tradução para Pt-Br sobre o wiki do aplicativo. Confira:
"BucketMan - coloring your city" ("BucketMan - colorindo sua cidade") é um jogo para dispositivos móveis que é similar ao Pac-Man mas o cenário é as ruas do mundo real. Atualmente ele só foi elaborado para dispositivos com Android. Mas em breve você também poderá jogar em seu IOS. O jogo está em seu estágio beta e pode ser baixado na playstore. Ou também pelo site oficial do game. Você pode ver o video de divulgação do game em português (Pt-Br) no youtube.
No jogo você controla o BucketMan para colher água e tintas de modo a evitar que os VIA (Veículos de Inteligência Artificial), em inglês AIV's, dirijam pela cidade com um unico objetivo: dirigir o máximo possível, congestionando a cidade. Você pode pular sobre os AIV´s e recolher tintas para pintá-los, deixando-nos inofensivos. Você pode desbloquear as supertintas para ficar o "hulk" e daí quem atropela os carros é você. Dependendo da cor, você tem a recompensa. Durante o jogo você pode mudar a água e as tintas para melhorar as habilidades (velocidade, tempo de pulo, ...) e as características (tempo de vida, entre outros).
O tempo não pára e você precisa coletar água para poder passar de fase, com a água você ganha tempo, e matando os AIV's também.
Há dois principais modos de jogo: Missões e sobrevivências. Nas missões você tem que fazer as tarefas, como pular sobre 8 AIV's, pintar certos AIV's de determinadas cores, matar um certo número de AIV's de uma específica cor, ...
No mapa de sobrevivência você simplesmente tem que... sobreviver. Aqui você pode coletar águas e tintas para deixar seu BucketMan melhor. Existe também um ranking mundia via Google Play Game Services para mapas salvos, onde constam as pontuações de cada mapa. Além dos mapas salvos você pode também jogar os mapas online do local onde você está (desde que haja conexão com a internet e GPS).
Os mapas online são enviados pelos usuários de todo o mundo. Cada mapa online tem seu próprio ranking que permite uma batalha pelo comando de seu bairro.
Agrupar marcadores pode ser muito interessante. Agora o mapa do RGM suporta agrupar elementos e marcadores ou exibir os dados no estilo "mapa de calor".
Saiba mais no tutorial http://rede.acessasp.sp.gov.br/blogada/crie-facilmente-mapas-de-calor
Темой прошедшего недельного задания был город Нежин Черниговвской области. Ниже - немного статистики по изменённым объектам:
Как изменился город, видно на GIF-анимациях:
Изменения несущественные, но количество участников - аж 11 человек! Да, новый рекорд :) Вклад каждого из них - на диаграмме:
На этой карте видно, кто какой участок редактировал:
Стоит отметить, что работа над городом продолжается и после завершения недельного задания. Это можно увидеть на вкладке "Деятельность" на странице проекта.
Сейчас: маппим area:highway=*.