Diary Entries in English

Recent diary entries

New MapRoulette challenge idea: exit_to > destination

Posted by mvexel on 17 September 2015 in English (English)

K1wi's recent diary showed us how the use of destination is catching up with exit_to in the US for exit sign tagging:


I am excited about this! You may recall that I am very much in favor of destination on the _link way to tag exit signs rather than exit_to on the junction node.

I've come up with an idea to squash the remaining exit_to-tagged nodes in the US and move the exit sign info to a destination tag.

No scripting. No funny stuff.

A MapRoulette Challenge!

This is what it would look like:


What do you think? How can the instructions be improved?

You can try it out on now.

Hello [OSM]world!

Posted by Thomas Hills on 17 September 2015 in English (English)

Hi, I'm Tom. I thought I'd do a quick post to explain who I am and why I'm part of the OSM, Missing Maps and HOT communities.

I've always loved maps and geography, but I decided to go into engineering and I'm currently finishing off a PhD at Imperial College on reducing CO2 emissions from the cement industry. Not really anything to do with mapping...

During my undergrad, also at Imperial, I was involved in Engineers without Borders. I went to Tanzania in 2009 on a project with them to build rainwater harvesting systems. That project has now become its own charity ( I was based in Kahama, Shinyanga province, and when I got there I asked if there was a map I could borrow while I was there, so I could find my way round. There were puzzled looks - why should there be a map of Kahama? I didn't even start to explain the benefits...

Anyway, although I enjoyed my experience in Tanzania I came to the conclusion that perhaps I wasn't the best-placed person to be out on the ground in Tanzania building such projects (I'm a chemical engineer, for a start). But when I found out about Missing Maps last year, I was very interested to find out more. So I went along to the next mapathon and really enjoyed myself (thanks in no small part to @RAytoun). I downloaded JOSM and looked at Kahama on OSM - there was nothing there! I started mapping Kahama using satellite imagery and most of the centre of the town is now mapped (apart from buildings).

At one of the missing maps sessions I got involved in putting information from field papers from Zimbabwe onto OSM. This work is quite a lot more complicated than drawing buildings or roads using the OSM Tasking Manager - there's several websites involved, and we had to come up with a whole new addressing system for Epworth, the region we're mapping. It's been great fun and somehow I now lead the Epworth field mapping sessions at Missing Maps London's mid-month mapathons. I'm not great at it, but at least I try. I'll be speaking a bit more about this particular project in a future post...

As for my mapping interests, I'm generally most interested in mapping for development, especially in learning about how the maps can be used in innovative ways on the ground. Other things I find exciting are projects such as microtasking managers (e.g. and how we can improve the tasking manager to make field map information input less of a pain. I've got some ideas but I'd love to talk to you if you've got any ideas of your own! To be honest, I love talking, so feel free to talk to me about just about anything!

Harry Wood admin abuse. Do we need him as admin at wiki???

Posted by d1g on 17 September 2015 in English (English)

Hi Harry! I'm XXZME. Goodbye your reputation.

You may know Harry Wood as one of the oldest members of OSM. What you don't know is that he is terrible admin at wiki and ignores/resists any internationalization changes at wiki started by me AND SUPPORTED/TRANSLATED by other users at wiki.

Who I'm and my role at, mostly recent edits (last 0,5-1 year)

I hardly can explain my edit history even in 10 minutes or in a hours, sorry guys. Here is some points.

In numbers

I truly believe that they are irrelevant, but I must show MY portion of OSM wiki contributions.

I did 7000 edits to in hope that it will ease translation efforts and help begginners. states about 1,228,480 "Page edits since OpenStreetMap Wiki was set up"

Internationalization efforts

These pages are short and look unimportant at first. But ask yourself first:

  • why do they translated so quickly if they are unnecessary?
  • why does anyone wants to create/translate short pages like this? What is idea behind it?
  • why do they have no corrections to page in English?

These pages were born in agony of translators at wiki in multiple attempts to rationalize content for beginners at wiki.

Including work started by Cantho 1,5 years ago

I put significant effort to update Beginner's guide and other newcomers pages

including monsters like

Most of the portals at wiki are significantly reworked by me, see their history:

It took tremendous amount of time and work to me and to update terrible over-categorization at wiki and sort content for French-only, Ukrainian-only, Russian-only, Japanese-only readers.

I did significant update to Category:Categories and Category:OSM_Community with help of User:Verdy p.

My edits were based on significant improvements to top-level categories started 3-5 years ago.and unfinished changes by many other users started earlier (it may be unclear based just on edit history, but his edits indeed were slowly improving top-level categories).

Before making changes I reviewed not only their talk pages but edit history of most top-level categories and top pages at OSM Wiki and problems were repeatedly occurring during edits.

You can always check my edit history, but it will take significant time for you to understand everything based just on latest 300-500 edits.

YES I DID thousands of small and incremental edits to wiki. To reduce over-categorization and to reduce/lower amount of work REQUIRED to perform wiki translators/simplify further wiki maintenance.

Harry Wood never had interest in OSM being TRULLY international.

He constantly ignores DIRECT QUESTIONS to his admin role and his inaction.

Harry Wood abuse of human rights

I'm simply not able to express myself in any form any more. My proficiency with any language is completely irrelevant because I cannot say a word after Harry Wood ban.

He silenced me AT MY OWN userpage and I'm not able answer to M!dgard and full-full requests from users or respond in reasonable manner. Even if it takes long discussion in broken English!

I have contacted M!dgard and he said he is busy IRL and not able to join me with edits.

Harry Wood assault on my privacy

In addition to his silence to unpleasant questions directed to him he constantly assaults my privacy and left me with no other option but to respond in my diary, revealing my identity.

As the only argument he repeating himself with HIS OWN PAGE about what is "good" or "bad" in OpenStreetMap

He ignored fact that his "guide" is in "draft" stage and not really supported by anyone else except him. was explained before his edits which is just copy&paste of Ubuntu guide. page never REQUIRED a user to reveal HIS PERSONAL INFORMATION.

Grass&Green: to improve Germany grass-related entities classification?

Posted by grass_and_green on 17 September 2015 in English (English)

Dear all, After 16 days of publishing Grass&Green, a specific tool for QA of data classification, we got the following contributions.

Alt text

Thanks for all contributors, however, we still have 1000's of entities needed to be checked. I could describe simply how does it work?

We have the following assumptions:

  • Similar entities should be classified consistently, at least within the same country. For example, In Germany, what people know about "park", as a place for recreation and amusement, doing sport, grilling, pinking, ..etc. Thus, the one can not called a small piece of grass entity in front or backyard of his home as "park". It is inconsistency.

  • OSM in lots of cities (e.g., urban cities) has a good and acceptable quality.

Hence, we extract the characteristics that describe specific grass-related classes like: forest, meadow, park, garden, and grass. Afterwards, we develop a recommendation system (Grass&Green) for that classes.

The aim of the tool is to improve/enrich the data classification quality of these features. We just have a start and test on Germany DataSet, however, the entire world would be provided in the next phases. So far, contributors confirm our recommendations with 90% full/partial agreement. That's sounds good.

Please, don't hesitate to contact us for further details or feedback. Follow our news also on Twitter and Facebook

Best, Ahmed Loai Ali

Postigs question - find out the unnecessary points that exist on the map

Posted by baditaflorin on 16 September 2015 in English (English)


My hypothesis is that we could reduce the planet file with 10-100 MB by only removing the unnecessary points that exist on the map.

I am trying to figure it out the correct postgis query to find out exactly this.

I am trying to compare the points of a linesting, and if the degrees between 3 adjacent points is 0 degrees, that means that the point in the middle can be deleted.

The only check in place that i see is to check that the point in the middle is not connected to a point and check that the hstore tag of that node is empty, meaning that there is no value added to the node ( pedestrian crossing, motorway_jucntion, exit_to, etc )

Osmosis Stats for loading different continents

Posted by baditaflorin on 16 September 2015 in English (English)

This is just a dump of some ideas and stats that you should not take for granted, the data its most of the time inaccurate , because i run 2 commands at the same time.

But anyhow, its a point of conversation First, i had filtered with osmconvert and osmfilter so i remained with a planet dump, composed of only the tag highway I am trying to import all the roads in the world, after i tried with a direct attempt and did not scale up, i had now spitted the world into each continent

Size = only the highway , saved as a osm.pbf

africa_highway ( 356 MB ) = 46 Minute to import into postgis Asia_highway ( 1318 MB ) = 213 Minute to import into postgis Australia_highway ( 259 MB ) = 14 Minute to import into postgis Central America ( 63 MB ) = 10 Minute to import into postgis

Community mapping in Cape Town

Posted by DrishT on 15 September 2015 in English (English)

by Drishtie Patel, Dan Joseph

Fire sensor project background

Nicely conditioned roads, beautiful beaches, cliffs, scenic bays, promenades and hillside communities is what you think of when you hear Cape Town. However a couple kilometers away from these spectacular sceneries and coastlines is Khayelitsha. A partially informal township reputed to be the largest and fastest growing township in South Africa. It’s a humbling sight to see.

Khayelitsha Khayelitsha, CC BY-SA elyob

If you get the chance to spend some time there you will see the amazing community spirit and warmth in the area despite its well known reputation for being extremely dangerous.

Khayelitsha is home to roughly 400,000 people covering an area of 39 square km made up of old formal areas and majority newer informal areas. Red Cross partners have been working in the area and looked into the major concerns the community is facing. Fires are at the top of the list. Fires regularly occur as a result of indoor stove use, trash burning, faulty wires, and residents trying to keep warm. Rapid, unplanned development results in close construction of homes which increases the chance of fires spreading quickly. Pathways between homes are narrow and often blocked, making evacuations chaotic and dangerous. Residents commonly do not know who to call for fire fighting assistance, and if firefighters are available they have a difficult time finding and responding.

Red Cross partners are piloting a project to solve this issue; a low-cost, meshed network of smart home sensors affixed to each home within the informal settlement. The American Red Cross GIS team recently set out to Khayelitsha to support the community in mapping the area for better program planning and decision making. Here’s our story about the experience.

On the ground in Cape Town

Khayelitsha Navigating the narrow paths between houses, CC-BY American Red Cross

Just a few days before the mapping was to start we were advised not to use smart phones due to new security concerns. We normally use phones to run the OpenMapKit mobile data collection app. Fortunately, we could use GPS devices as they would be much less desirable targets for theft.

Early on a very chilly morning we headed to the Andile Msizi Community Center in Khayelitsha with the South African Red Cross team. We met 34 volunteers and started a 2 day training introducing them to OpenStreetMap and the community mapping process. Volunteers were from the local area and immediately got hooked on the OSM iD editor looking at the satellite imagery of their neighborhoods and pointing out where they live.

At the Community Center the group had insightful discussions, learned how to use printed Field Papers pages for collecting data and practiced using the GPS devices. Breaks for hot coffee and pastries kept energy levels high.

Field mapping

Volunteers Volunteers verifying their position, CC-BY American Red Cross

Our cozy days indoors ended as we headed out to start collecting data. Teams of 4-5 volunteers were escorted by community leaders and Red Cross staff into the section chosen for the day. We equipped our volunteers with Field Papers and Garmin GPS units to collect data and GPX tracks. The area is very dense, has no centralized plan or regular layout, and structures are generally small and non-rectangular.

Remote tracing done ahead of time by digital humanitarians was hugely beneficial, giving us a fairly accurate foundation of data to add to. The tracing was possible thanks to recent, high resolution imagery from Mapgive. Map literacy can be a challenge for volunteers, and the better base map made the community mapping an easier process. The GPS devices were loaded with the Field Paper's grid and the OpenStreetMap base map to help with navigation.

Garmin Garmin loaded with custom OSM data, CC-BY American Red Cross

After some initial fieldwork we were able to use the GPX tracks from teams walking through the area to check the alignment of our two sources of satellite imagery (Bing and the very recently captured NextView imagery obtained through MapGive). It showed the MapGive imagery to be more accurately geo-referenced so we decided to adjust the OSM data to match the GPX tracks and MapGive imagery. Volunteers had time to re-visit some areas after the alignment of OSM data, but since the map tiles would not refresh quickly enough for new Field Papers we created custom atlas pages with downloaded OSM data styled in QGIS. This worked out great to fill in gaps after the first round of mapping on the ground.

GPX tracks of mapping teams

Field data collection focused on: editing outlines of buildings (combining, dividing, adding, and removing); adding the path network; adding amenities such as places of worship, shops, and taverns; adding features that were impossible to trace from satellite imagery such as electricity transformers, narrow rows of latrines, and water taps; and adding building numbers.

Building address numbers were a challenge to collect. Volunteers had to walk along two or more paths before being able to approach the part of the building with an entrance and see if a number was posted. Numbers were not always visible on the building, and in some areas the government had spray painted numbers on houses in the process of counting them, contradicting the actual house numbers.

We wrapped up the field mapping and then spent two days at the Community Center inputing data into OSM using JOSM editor.

Next steps

The American Red Cross GIS team will create large maps of the different sections to print and share with the communities. The volunteers will continue gathering data, collecting the locations of the fire sensors to then overlay OSM data to analyze the coverage of the project. We will also share knowledge of our work in OSM with other NGOs operating in the area.

We mapped only a small part of the entire Khayelitsha area. We have some dedicated and motivated Red Cross volunteers who want to continue to ground truth OSM data. We need your help to finish the remote tracing to make their work easier. Take a couple of tasks,

Location: Cape Town Ward 91, Cape Town Subcouncil 9, Khayelitsha, City of Cape Town, Western Cape, RSA

Grass&Green:How does it work?

Posted by grass_and_green on 15 September 2015 in English (English)

Dear all, After 16 days of publishing Grass&Green, a specific tool for QA of data classification, we got the following contributions.

Alt text

Thanks for all contributors, however, we still have 1000's of entities needed to be checked. I could describe simply how does it work?

We have the following assumptions:

  • Similar entities should be classified consistently, at least within the same country. For example, In Germany, what people know about "park", as a place for recreation and amusement, doing sport, grilling, pinking, ..etc. Thus, the one can not called a small piece of grass entity in front or backyard of his home as "park". It is inconsistency.

  • OSM in lots of cities (e.g., urban cities) has a good and acceptable quality.

Hence, we extract the characteristics that describe specific grass-related classes like: forest, meadow, park, garden, and grass. Afterwards, we develop a recommendation system (Grass&Green) for that classes.

The aim of the tool is to improve/enrich the data classification quality of these features. We just have a start and test on Germany DataSet, however, the entire world would be provided in the next phases. So far, contributors confirm our recommendations with 90% full/partial agreement. That's sounds good.

Please, don't hesitate to contact us for further details or feedback. Follow our news also on Twitter and Facebook

Best, Ahmed Loai Ali

How many days or weeks does it take to upload the whole planet via Osmosis ?

Posted by baditaflorin on 15 September 2015 in English (English)

I am now in day 6 of waiting

There is a 16 GB RAM server, octacore environment, running ubuntu 14.10 ( don`t ask why )

I have a 317 GB file generated called copy********************n

And there is a file called copy**************w that is still being generated, growing by 10-20 GB per day , now is at 76 GB

And a file called copy*******************wn at 30 GB

i am guessing that the n means nodes and w means ways, but how much should it grow, procentualy compared with the 317 GB n file ?

6 day stats

The command that i had used to give the command looks like this

sudo osmosis --rbf latest-planet.osm.pbf --wp host=localhost database=mydatabase user=******* password=**********

Motorway Junction Tagging Evolution (Spain) (2013 - Sept, 2015)

Posted by k1wi on 14 September 2015 in English (English)

This report shows the evolution and current state of Motorway Junction Tagging in Spain as of September 2015.

  • exit_to is still the king. 69% of motorway junctions are tagged with exit_to.

  • 25% of motorway junctions have an associated motorway or motorway_link way with destination tags.

  • 17% of motorway junctions are tagged with name.

  • 81% of motorway junctions are tagged with any of the above schemes. Which means that there is still a 19% of motorway junctions without any destination-type information attached to them.

Data obtained with Overpass API. Overpass Turbo queries:

Icelandic Tour

Posted by John Gaiot on 13 September 2015 in English (English)


#16 HALLGRÍMSKIRKJA - Reykjavík’s best-known landmark, the striking Hallgrímskirkja offers unsurpassed views of the capital from its tower.

#07 THE SAGAS - Reykjavík’s Culture House boasts some of Europe’s oldest and finest medieval manuscripts.


Snaelfellsnes Peninsula seems to be the place dreams and romantic winter honeymoons are made of. If I had a car and partner in crime, I’d love nothing more than to make it up to this part of the country and just drive/wander aimlessly. It’s supposed to be breathtakingly beautiful and the place to see all the best Iceland has to offer in relatively small area.

Valahnúkur Point Mountain (Glosoli) - Reykjanes Peninsula displays different lava formations: tuff, pillow and breccia. Gunnnuhver Blue Lagoon

Krysuvikurberg - Magnificent scenery & birdlife

#13 ÞINGVELLIR NATIONAL PARK - The dramatic site of Iceland’s first parliament, set in a mighty rift valley where the Eurasian and American continental plates are slowly tearing apart.

4 Þingvellir - The chasm between the European and North American tectonic plates marks the site of Iceland’s original open-air parliament.

#12GEYSIR - See Strokkur erupting at Geysir, after which all geysers are named. STROKKUR GEYSER

3 Gullfoss - The “Golden Falls” are at their most spectacular in late spring, when melted snow and ice tears through the gorge of this two-tier cataract.

Glymur - Highest waterfall 198m

2 Landmannalaugar - Iceland’s most celebrated batheable hot spring, which emerges from underneath a lava wall amidst a stark gravel wilderness.



#02LANDMANNALAUGAR - Interior - Landmannalaugar’s bubbling hot springs, wildly-coloured hills and rugged hiking trails are the Interior’s best-known feature.

#10 ÞÓRSMÖRK NATIONAL PARK Beautiful scenery, waterfalls, mountains.- 25km hike! via reykavik excursions bus

Thingvellir National Park

Location: Iceland

Belgian Mapper of the Month: Vincent Van Eyken (QuercE)

Posted by escada on 13 September 2015 in English (English)

Vincent Van Eyken recently got his civil engineering degree, specialism architecture. With this background, it is not surprising that he has an healthy interest in topics such as urban planning and public space landscaping. But he also has a long lasting and strong passion for geography and cartography. Therefore it is almost natural that he ended up in the OpenStreetMap world. He maps under the nickname QuercE, which is derived from the Latin translation of his family name; ‘quercus’ (adj. ‘querceus’) is latin for ‘eik(en) / eyken’. Eik is the Dutch word for oak.


When did you start contributing ?

A couple of years ago I was member of another collaborative mapping project, called Wikimapia. I decided to leave that project, among others due to the limited support, the small applicability of the project, the mapping experience and the frequent vandalism of the map. While I was surfing on the internet I accidently encountered At the first stance, the project looked promising, accessible, well documented and with a decent map. Furthermore the map was evolving quickly, due to the growing group of users. After I created an account, which I did out of curiosity, it took a while before I really started to map. But after a few timid attempts, I got hooked, and now I regularly contribute something to the map. Also, because I started to see the potential of such an open data project as basis for a huge range of applications.

How and what do you map?

I started mapping with the online-editor Potlatch 2. But after awhile, I encountered its limitations to quickly map complex features. That was the moment I made the switch to JOSM. That editor might have a steep learning curve, but once you master it, it offers a wide range of possibilities: preparation and saving changesets, plug-ins, presets, using layers and filters, aligning images, etc. Of course, those features makes mapping more versatile and challenging. My first contributions were mainly points-of-interests and additions to the roads in my home town and the surrounding area. Even today, the majority of my contributions are small additions or changes in the wider environment around my house. Only sporadically, I map something further away, usually from a holiday destination. Often these are small features, something I noticed by chance, sometimes inspired by articles in the news, just something that gives me the reflex to check whether it is already in OpenStreetMap, and if not, whether I can map it myself. The things that I map in this way are a.o corrections to streets and their names, adding local retailers with opening hours, lanes and parking lanes, cycleways and cycling routes, path ("trage wegen" in Dutch). To summarise: all kinds of things. I try to alternate in what I map, just to keep it interesting, but also to improve my mapping skills. I am certainly not a specialist in a certain domain or technique. Although I try to keep on top of as many topics as possible. Unfortunately, I lack some discipline to properly prepare for a focussed survey, execute it conscientiously and process the accumulated data afterwards. So I soon turned more into an "armchair mapper". Especially, because most of the time, I start mapping in a flush, whenever I have time and when I am in the mood. During my studies, I used OpenStreetMap often as a distraction and a more or less useful form of procrastination. One of the fields I am working on during those mapping sessions, are the boundaries of the villages. For this, I use old digitalised maps such as Atlas der Buurtwegen, or the plans of villages by Popp. Due to the nature of the job, it has to be done from behind a PC.

Do you use OpenStreetMap yourself?

In the past I have used MapOSMatic a couple of times to quickly obtain a detailed map for a city trip. At this moment, I try to use the OsmAnd-navigation app on my SmartPhone as much as possible. I also succeeded in convincing some friends to use the app, especially for cycling and hiking trip. So, indirectly I convinced them of the use of OpenStreetMap. During skiing vacations I use a Teasi One² gps device with OpenStreetMap maps to plan trips and register the ski slopes.

How do you stay up-to-date with OpenStreetMap news?

I mainly use talk-be-mailinglijst to stay informed on what is happening in the in my community, but I have to admit that I am just lurking most of the time. I would like to mention that I learned a lot by searching the archive of the mailing list. This archive is full of relevant and specific information for any mapper that wants to map features in Belgium.

Do you have contact with other mappers?

When I just started, I got useful tips from a number of people on what and how to map. That changed over time and now I can sporadically give a tip to another mappers. But it is a comforting idea that you can build upon the work of a strong community of enthusiast people. So far I did not had to opportunity to participate in a meet-up or mapping party, but I hope to go to one in the future. It seems like a good method to improve my skills and of course, to get to know the other mappers.

How can we grow the OpenStreetMap Community?

I believe that the average person is not familiar enough with the name OpenStreetMap. We do not need to start large advertising campaigns, but it would be great that the data of OpenStreetMap is equally known and consulted (in any form) as often as e.g. the pages of Wikipedia. The OpenStreetMap data can already be found in several websites, in apps etc.. Sometimes is it obvious that OpenStreetMap data is used, in other cases it is more hidden. This gives the average end user a scattered view of what OpenStreetMap is and does not properly show its capabilities. Of course there are several more user-friendly and interactive applications (,, the OsmAnd-app…) that give a clear way to access certain data, but too often they can only be found after some research. Research that not everybody is willing to do. Therefore I think the community should keep on focusing on improving the accessibility of the data, first and foremost via the map on the main page of The possibility to retrieve route descriptions from this page is already a huge benefit. But it would be interesting to be able to click on POIs and obtain a pop-up with more details. This feature could be something that attracts more user and mappers. In order to improve the local mapping community, it might be an idea to contact the local societies and clubs (such as Chiro, Scout groups, Davidsfonds, Okra, etc.). Perhaps we find some potential mappers, that would be willing to map their cycling and hiking trips or even just map the environment of their clubhouse in detail.

Why do you map?

In the first place, it is a fantastic way to turn one's fascination for geography into a hobby. Furthermore, the idea that the things that you map, -- no matter how small or irrelevant they may seem--, will be used by others (cyclist, skiers, hikers, students, researchers) in an infinite number of possible projects, gives some satisfaction and is certainly a stimulus to continue mapping. Since we live in a world where the value of information keep growing, it is good to see that there are several open source projects, such as OpenStreetMap, under development to make this, often crucial, data available to a large public.

Is there anything else you would like to say?

I would only like to give the advice to keep on mapping with a lot of enthusiasm. Or in case you are not mapping yet, to start with it. This will not always be easy and you might have to invest some time in learning new things, but it certainly worth the effort.

Wad Medani - Hillat Abbas

Posted by Khalid Hamada on 13 September 2015 in English (English)

Added some basic roads and village sign to Hillat Abbas, East Wad Medani, Gezira State, Sudan

street voter

Posted by pti pp91 on 13 September 2015 in English (English)

manage the view as per voter adress

Location: Peoples Colony, Gujranwala, Gujrānwāla District, Punjab, Pakistan

OSM Analytic Difference Engine

Posted by MichaelVL on 13 September 2015 in English (English)

I have put OSM Analytic Difference Engine on github. In short its a backend for a live service providing real-time insight into edits within a region of interest. Special focus has been made to analyse the changesets and provide a concise description of what has changed.

Some of purposes of this engine:

  • Prof-of-concept for an improved changeset-info service (improved compared to looking up changeset details on
  • Provide insight into changes in your area of interest
  • Improve team spirit of a regional OSM team/task-force.
  • Quality insurance through peer review
  • Learning by seeing how other make edits to your region of interest.

The service is available as a web-service and provide three different information elements:

  • An overall summary with a overview map containing bounding boxes of recent edits
  • A list of changesets with analytic details
  • A visual diff for the changes of each changeset (try the 'VisualDiff' link on each changeset)

Example of the analytic details: Analytic Details

Find it here:

OSM Analytic Difference Engine for Denmark

OSM Analytic Difference Engine on github

The Flash Map Mob

Posted by mvexel on 12 September 2015 in English (English)

Looking for new ways to get people out to map, I started a new initiative in our local Salt Lake City OpenStreetMap group: The Flash Map Mob. Inspired by the Flash Mob, the idea is to descend on a local commercial area, spread out and map all the businesses in an hour or less. We tyically meet at a coffee shop, divide up the area, and go out and map! Most people use their smart phones or tablets with apps like Pushpin, Vespucci or OSMAnd. This way, everything you map gets added to OSM right away and there is no work to be done after. But you could also use pen and paper, or GPS + camera.

Here we are checking out Pushpin on an iPad:


Here are the results of the first Flash Map Mob we did a few weeks ago, where we mapped 80+ businesses with three people:


(Here is the Overpass Turbo request that I used to create this result overview.)

For now we do these Flash Map Mobs on a weekday after work. The next one will be in the Murray Historic Downtown area, just south of Salt Lake City. Previous ones were in the suburb of Holladay and in the Sugar House area of Salt Lake City. So far it's only been 2-3 of us, but it is a lot of fun so I expect more people at future Flash Map Mobs!

It's really easy to organize a Flash Map Mob. Just go to OSM, pick an area that could use some POI love, announce on Meetup or whatever channel you use to announce your local OSM events, and off you go!

exit_to vs destination (USA)

Posted by k1wi on 11 September 2015 in English (English)

The usage of destination tags in the United States on the OSM database is currently nearly equal to exit_to tags. Here is a graph of the evolution from January 2013 to September 2015.

You can read more about this on the wiki article:

EDIT: I originally used this Overpass Turbo query to create the graph: using the dev overpass server, as the normal one was issuing weird errors. However the dev server is not reliable for older data (as pointed out by mmd). I was able to use the normal server again and return correct older data by using simpler queries:,,

Feedback from MSF in Doro Refugee Camp

Posted by pedrito1414 on 11 September 2015 in English (English)

Just wanted to feed back on the remote mapping that HOT / Missing Maps volunteers did in response to an MSF team based in Doro refugee camp in South Sudan (see the map on reliefweb, here). The message below arrived this week from Guido, an MSF epidemiologist who has just returned from South Sudan.

I don't think I have anything to add other than well done and thank you! It's great to see your work at work for NGOs in the field....

Dear Pete, this is Guido, MSF epidemiologist in South Sudan. Greetings from Juba!

We don’t know each other but I realize we have been recently in the same loop of communications about MSF project in Doro Refugee Camp, Maban.

Actually, I am just back from Doro where I have been conducting a multi-antigen vaccination coverage survey.

I am writing today because I lately understood that the map that I received in preparation of my survey was actually developed by you and the Missing Map Project Team.

So, I would like to let you know a bit about the survey, and, above all, thank you for your job, since the map was really valuable to us. Actually, I used the map as a basis to prepare the survey: to locate villages (they call “villages” the different parts of the camp, since they relate to the villages of origin in Sudan), to understand the real distribution and presence of people together with the Health Promotion team and to allocate clusters to villages. Basically, it served for the first stage of clustering and it allowed us to save a lot of time in getting a clear picture of the setting; moreover, I felt it was good to let HP team to visualize what they already knew by heart.

In the end, we had to add a few more villages and to account for some recent movements (occurred earlier this year). Then, I admit I was lucky enough to work with Health Promoters, who knew the camp very well and this actually eased the final data collection (i.e. once we had allocated the specific number of clusters to villages, they moved autonomously in the camp… we applied the EPI method and easily accessed all areas).

*Unfortunately, I have no pictures of the teams working since I was advised not to take pictures in the camp… actually, it was not allowed. Nonetheless, I just took a couple of pics of my copy of the map and of a larger copy that I drew on a flip-chart for training purposed. Directly from the field. *

So, this is how it went. I would like to say th I hope we may stay in touch and we may have soon another opportunity to exchange. In this case, it will be my pleasure to come back to you ahead of time and reasonate together over some maps according to operational needs.

Please, give my best to the Team and thank you very much to you all, again.

Best regards, Guido

The map being used in the field by MSF

Grass&Green: a rule-guided recommendation systems for OSM

Posted by grass_and_green on 10 September 2015 in English (English)

I just would like to thank the contributors and the power of crowds. more than 800 entities checked about 100 users, more than 150 visits to the system. 90% agreement with recommendations and still more entities need your opinions

This entity was classified as 'park' by Grass&Green it is confirmed classified as 'park'

This entity was classified as 'park' by Grass&Green it is classified as 'garden'

Visit and contribute to improve the classification of grass-related features.

Best, Ahmed loai ali

Location: Gete, Schwachhausen, Stadtbezirk Bremen-Ost, Bremen, Free and Hanseatic City of Bremen, 28211, Germany

Editing North Kansas City

Posted by DeVietor on 9 September 2015 in English (English)

Corrected road, added land use and major buildings to area north of the Missouri River and inside I435. I have also added all houses and buildings north of Barry Road.

Older Entries | Newer Entries