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Posted by Nagesh_Blr on 23 March 2017 in English (English)

You can contact me at my email ID nagesh.sa.blr@gmail.com

Montauban, France vandalized

Posted by PlaneMad on 23 March 2017 in English (English)

A new user deleted over a 100 features including the place node in the centre of Montauban, a large town in France.

Just reverted both these changesets:

Caught and reverted in 15 hours! A few tools where one can review changesets from new users apart from the history tab:

Location: Villenouvelle, Issanchou, Montauban, Tarn-et-Garonne, Occitania, 82000, France

RFC: wikidata->osm lookup table

Posted by mcld on 22 March 2017 in English (English)

OpenStreetMap has a wikidata tag which lets us connect OSM objects to their corresponding Wikidata items.

(Technical note: it's a "same as" relationship - i.e. the tag asserts that the two items in different systems refer to the same entity. However, sometimes things in OSM are split into multiple objects; and sometimes one object in OSM actually refers to multiple items in Wikidata. So it's actually a "many-to-many" matching, not "one-to-one": a single OSM object sometimes has multiple semicolon-separated Wikidata identifiers, and multiple OSM objects sometimes have the same Wikidata identifier.)

There are over 600,000 OSM objects with the "wikidata" tag. OK great, job done? I mean, nothing's ever "complete" in these big open-ended crowdsource projects, but if we have more than half a million crosslinks between the systems, that's really good going.

BUT THERE'S A PROBLEM!

Using the tag to jump from OSM to Wikidata works fine. But from Wikidata to OSM? Well, there's no persistent way to link from wkd->osm, simply because OSM's identifiers are impermanent - they're not guaranteed to continue existing, or to continue referring to the same thing. So it's not particularly sensible to store OSM identifiers in Wikidata. Instead, an Overpass lookup is required.

For example, on the OSM Wikidata page I found this friendly Wikidata interface called "Reasonator" - all very nice, but instead of cross-linking immediately to the OSM object, it offers a little "Overpass" link which you can click to do a dynamic lookup.

The effect is that it makes Wikidata->OSM connections indirect, obscured, only-for-those-who-know-they-want-it. If a Wikidata coder says "OK great how do I jump to the item in OSM?" you first have to teach them what Overpass is and how it relates to OSM, then how to use its query language, how many queries a day you're allowed to do on Overpass... bleh.

PROPOSED SOLUTION

Pretty simple proposal, then: a script that produces a Wikidata->OSM lookup table. This could be run as a weekly cron job perhaps (or something monitoring minutely diffs for any changed wikidata tag? dunno) and it could produce a lookup table that is easy for non-OSM users to consume. For example, it could produce a big CSV file like this:

 Q1002133,node/29541385
 Q1002826,node/20919015
 Q1002845,node/241795518
 Q1004173,way/38387732
 Q1004824,node/29164070
 Q1026205,node/410291638,relation/1061137
 Q1005234,relation/2797450
 ...

and a JSON file like this:

 {
 "Q1002133": [["node",29541385]],
 "Q1002826": [["node",20919015]],
 "Q1002845": [["node",241795518]],
 "Q1004173": [["way",38387732]],
 "Q1004824": [["node",29164070]],
 "Q1026205": [["node",410291638], ["relation",1061137]],
 "Q1005234": [["relation",2797450]],
 ...
 }

and then what might be useful could be for these to be published at a stable location, for other programmers to make use of dynamically. The intention is to make it easy for someone with no OSM knowledge and no GIS knowledge to be able to hook OSM into their open data ecosystem.

I wrote a Python script that makes these lookup tables. On my home desktop, it takes about 2 minutes to scan the UK extract; for the whole planet file, it takes a lot longer... 90 minutes! Oof. (The CSV and JSON files produced are 14 MB & 19 MB in size.)

Your thoughts?

New A556 Link Road, Cheshire,UK

Posted by NiborM on 22 March 2017 in English (English)

Congratulations to the people of OpenStreetMap who are the first to show the actual newly completed route and links. Not yet on TomTom or Google maps and don't think about seeing it on OS. Brilliant. Robin

The centre of Rome

Posted by dieterdreist on 22 March 2017 in English (English)

There a very useful feature in JOSM which I just discovered now: when looking at the history diffs of an object and you choose the coordinates tab, you get a map visualizing the geometry in a map.

From time to time people are moving the Rome node.

I found it interesting to see how the position changed by the time. This is the complete position history of the Rome node:

The node creation on 2007-10-15. Back then the local map was empty and a node anywhere near the centre was perfectly fine, but the editor decided after 10 minutes he could do better and already refined to a location close to where the central point commonly is associated with (the Campidoglio). the node creation on 2007-10-15

A further refinement on 2007-10-22. Now the position is perfect (for our means), it indicates the centre of the Campidoglio with the equestrian statue of Marcus Aurelius. further refinement on 2007-10-22

This is the Piazza del Campidoglio with the equestrian statue in the centre, you can also note the concentric pavement structure indicating the centre: Piazza del Campidoglio

Now comes a longer period of people "touching" the node without actually changing it noticably. Take a look at the distance indicator: minor refinement

minor refinement

minor refinement

minor refinement

minor refinement

minor refinement

minor refinement

minor refinement

Until someone comes along and decides in 2011 to relocate the centre close to the Spanish Steps (although this is a famous place, it is not generally considered the "centre point": move to the Spanish Steps

Just one minute later, the same user slightly adjusts the position, but keeps it at the Spanish Steps (Piazza di Spagna): minor refinement

6 months later I relocate the node to the Capitoline Square (Piazza del Campidoglio): relocation to Piazza del Campidoglio

3 years later another user starts readjusting the exact position (maybe in an attempt to optimize the rendering label positions and reduce label omissions): slightly moving away from the centre

Some months later, the node is moved further away from the center to the border of the square: moving to the border

3 months after this, there's a new significant relocation, this time to Piazza Navona (while it is an important place, it is not the "centre"): relocating to Piazza Navona

The same use relocates the node, 2 months later, to the Piazza delle Rotonda (square in front of the Pantheon): relocating to Piazza Navona

That's where we're still right now, but I think I will relocate it to where I believe it belongs and where most of the other mappers also have seen for it the place to be. Well, actually there's another spot which might be brought into discussion as well: it is the place of a column just a stone's throw away on the Roman Forum, close to the temple of Saturn, errected the Emperor Augustus, which is the official start point of the "Vie Consolarie" (main arterial roads, historically until today).

Location: 41,893, 12,483

Храм Вознесения в Жуковском (2016)

Posted by Lunyo on 22 March 2017 in Russian (Русский)

Добавил на карту новый православный храм Вознесения (освящён в 2016 году). Добавил по знанию местоположения символическим прямоугольником (никакие карты не обрисовывал, хотя сверился с аэрокосмическим снимком Google). На Bing карте совсем ничего не видно, чтобы там было строение. Один лес. Ощущение, что этот кусочек карты очень старый, хотя указывается 2017 год в нижнем левом углу.

E. Perry Parkway in Cherry Hills Village

Posted by Terisa on 21 March 2017 in English (English)

Updated with notes on extension of E. Perry Parkway North of Belleview Ave.

Location: East Belleview Avenue, Cherry Ridge, Arapahoe County, Colorado, 80111:80121, United States of America

Harare gets a new name

Posted by PlaneMad on 21 March 2017 in English (English)

Yesterday, Paris became a bicycle shop named France and today the Zimbabwe capital Harare became Hwinidi offices. This time the edit was from iD. The Mapbox data team caught this while reviewing edits on https://osmcha.mapbox.com/ around 13 hours after the edit.

Location: Braeside, Hwindi offices, Harare, Harare, Zimbabwe

Notes save lives.

Posted by philippec on 21 March 2017 in English (English)

Yesterday I saw that the hospital in construction in Mechelen looked like a real hospital on the map, though it was surrounded with an area "landuse=construction". As I am a beginner I dared not change this. I placed a note, and as this area on the map is not a canvas for notes pointillism yet, it was quickly discovered and corrected by a more experienced mapper. http://www.openstreetmap.org/#map=17/51.05150/4.47494

OSM Diary HOT Board Nomination

Posted by Milli1201 on 20 March 2017 in English (English)

Dear HOT members,

I have accepted the kind nomination by Martin and Blake, as I would love to join the HOT Board to put my knowledge, skills, network and passion to use for the strategic planning for the future of HOT, and to support the community as a researcher, geographer, disastermapper as well as networker.

HOT has come a long way since the Haiti earthquakes. We have a growing number of HOT members and volunteers that are active in mapping, working groups and in building and directing our community. Thanks to this growing community we also have increasing OSM data coverage in vulnerable and disaster affected countries, as well as more and more advanced tools to facilitate the data collection and validation. Therefore, HOT became an increasingly globally distributed and acknowledged community, with a growing number of local chapters that has proven its potential, effectiveness and value in numerous disaster responses, as well as long-term community mapping and Missing Maps projects.

There are however also open questions, e.g.:

  • How well do we know our community, and what are their needs?
  • What is the impact of our work?* How can we better identify and meet the needs of potential data users?
  • How can we detect deficiencies in the OSM data, improve validation and data maintenance processes, and assure a certain level of data quality?
  • How can we better support and encourage local mapping communities, and link remote and local mappers?

As the work of HOT members like Nama Budhathoki, Robert Soden and Martin Dittus and partnerships between the disastermappers heidelberg/ GIScience Research Group of Heidelberg University and Missing Maps have shown, collaborations between researchers and our mapping community can help to address these questions and challenges. Over the last couple of years, I have learned a lot about the importance of HOT and OSM for vulnerable and disaster prone countries and decision makers through my work with Kathmandu Living Labs, HOT and Missing Maps, my projects in Heidelberg and by conducting and presenting research about OSM, HOT and disaster mapping to an international audience. I shared my experiences by teaching students in Heidelberg and beyond about the work of the HOT community and organizing open Mapathons and workshops with the disastermappers heidelberg initiative in the scope of my studies as well as in the scope of my work at the GIScience Research Group. Working at the disaster management and disastermapping department, I am now positioned at the intersection of research, application development, OSM interested data consumers and the HOT and OSM community. I would love to put this position, my network, my knowledge and research skills to use in the HOT Board and build a bridge between researchers, developers, the data consumers and the HOT and OSM community to address our questions and challenges within and with the community and raise more awareness in the international world of academia and disaster management about the potentials of HOT and OSM and the amazing things a volunteer community can achieve.

Location: Neuenheimer Feld, Neuenheim, Heidelberg, Regierungsbezirk Karlsruhe, Baden-Württemberg, Germany

Mapper of the Month: Lauri Kytömaa (Finland)

Posted by escada on 20 March 2017 in English (English)

The interview is published on the Belgian OSM Website

3D карты OSM

Posted by DeadAngel on 20 March 2017 in Russian (Русский)

Paris is a bicycle shop

Posted by PlaneMad on 20 March 2017 in English (English)

The Paris city node got renamed to France and tagged with shop=bicycle yesterday. This was found and reverted by user:Chetan_Gowda from the Mapbox data team 27 hours later. For some reason the tiles still show a shop, while the name has got fixed.

While inspecting the Paris node, another user seemed to have renamed the French name to Algerie 6 month ago. This was fixed after 4 hours.

Both edits came through Maps.me, but this is just as simple an edit through any other editor. Its surprising no local mappers noticed this.

Location: Beaubourg, St-Merri, 4th Arrondissement, Paris, Ile-de-France, 75004, France

Processing MapSwipe output for the HOT Tasking Manager

Posted by pjstewart1984 on 20 March 2017 in English (English)

Hello everyone,

MapSwipe - the mobile app that allows users to swiftly search through satellite imagery and identify huts, houses and villages - is accelerating the Missing Maps mapping process. Its output shapefiles, comprising only tasks identified as containing huts, houses, or villages, allow Missing Map's task creators to omit from projects any tasks without huts, houses and villages. In short, any tasks that do not require mapping.

However, some areas covered by MapSwipe output tasks are quite likely to have already been mapped in OpenStreetMap. A little processing of MapSwipe's output shapefile can make it even more effective!

First, MapSwipe output can be downloaded at http://mapswipe.geog.uni-heidelberg.de/download/.

Using overpass turbo:

  1. Download the area's building=yes and landuse=residential GeoJOSN files.

Using QGIS:

  1. Convert the GeoJOSN files into shapefiles (Layer > Save As...).
  2. Merge the two shapefiles (Vector > Data Management Tools > Merge Shapefiles to One...).
  3. Add the MapSwipe output shapefile into QGIS (Layer > Add Layer > Add Vector Layer).
  4. Clip the merge shapefile to the MapSwipe output (Vector > Geoprocessing Tools > Clip...).
  5. Select MapSwipe tasks with the merge shapefile within their boundaries (Vector > Research Tools > Select by Location...).
  6. Export selected tasks as a shapefile (Layer > Save As...).
  7. Invert step 6's selection (right-click on layer > Open Attribute Table > Invert selection).
  8. Export selected tasks as a shapefile (Layer > Save As...).

The shapefile created in step 9 will partly dictate the HOT Tasking Manager project. Further processing of the shapefile created in step 7 is required.

Using QGIS:

  1. Clip the landuse=residential shapefile to the shapefile created in step 7 (Vector > Geoprocessing Tools > Clip...).
  2. Select the clipped landuse=residential shapefile's residential areas with the building=yes shapefile within their boundaries (Vector > Research Tools > Select by Location...).
  3. Invert step 11's selection (right-click on layer > Open Attribute Table > Invert selection).
  4. Export selected residential areas as a shapefile (Layer > Save As...).
  5. Select the shapefile created in step 7's tasks with the shapefile created in step 13's residential areas within them (Vector > Research Tools > Select by Location...).
  6. Export the shapefile created in step 7's selected tasks as a shapefile (Layer > Save As...).

Finally, using QGIS:

  1. Merge the shapefiles created in step 9 and 15.

The shapefile created in step 16 is what is used to create a more streamlined HOT Tasking Manager project. In brief, it constitutes MapSwipe's output minus tasks already mapped but including residential areas without buildings within them. It just needs converting to GeoJOSN.

Thanks for reading,

Paul

Streams & Trees in Gedling, Notts

Posted by alexkemp on 19 March 2017 in English (English)

Mapping in Gedling on Saturday 18 March in foul weather (it was raining hard; goodness me, could this be England by any chance?) (well, yes). My new smartphone turned out to NOT be as England-proof as my ISODRY-10000 jacket, but that's another story.

There were one or two pleasant scenes & I thought to share them with you.

Right at the start of the track was an un-named recreation garden on Burton Road. It contained some yew trees (at the right) which sometimes is a sign of a former religious establishment in England. A neighbour said that there used to be a “big house, with stables” at the rear, but had no other information.

gardens, burton road gedling

Our second view is classic for a country house, except that it is within the suburbs, hidden away at the bottom of an unadopted road. However, the location does feature yew trees & willow hanging over the Ouse Dyke (not the prettiest name, but clearly the reason that Gedling & it's 678 A.D. church were established here in the first place) (the current church is 1089 A.D., but there were earlier versions):–

willow over ouse dyke on burton close

The next view seems a world away from the previous one but is actually very close, simply on the other side of the dyke. The one building in view is on the other bank of the dyke from Brooklands Drive, which is immediately behind me as I shot this photo.

Ouse Dyke bank, Brooklands Drive, gedling

I had a problem mapping that small section of land. First of all I was going to use:–

‘Geography|Nature|Scrub’
Bare lower lying uncultivated land with bushes but little or no tree cover

...but that doesn't fit. The trouble is that there is nothing within ‘Geography|Land Use’ that fits. In the end I used this:–

‘Geography|Nature|Wood’
Woodland where timber production does not dominate use

...which is about as close as I can get, I think, even though it is council-cultivated land rather than ‘natural’.

PS
If you have admin or Mod rights, then please remove Mlafagos + the comment they made (below); their account was created today as Profile Spam, and the comment is simple spam bait for the Search-Engines.

Location: Arnold and Carlton, Gedling, Nottinghamshire, East Midlands, England, United Kingdom

Simple gardening/QA workflow: Improve old ways

Posted by rorym on 19 March 2017 in English (English)

OSM can never be finished, we just keep improving the map. Our tools and sources get better. We can get better aerial imagery, and this means older data can be a little fuzzy. There's a simple way to improve OSM by looking at old data and seeing if you can improve it.

First enable the TODO list plugin if you haven't already (seriously, it's a great plugin), and enable that window on the right hand side. Then download a large area. The JOSM Continuous Downloader plugin can help here. The we can use JOSM's search functionality to find old data. Let's try to fix up ways which haven't been changed since 2010. Press Control-F to bring up the search box. Then enter timestamp:/2010 type:way, and press enter. All old ways will be selected. Press the Add button to these to the TODO list. Double click on the first entry to start working on it. Compare it to the aerial imagery, and fix up it's geometry if needed. JOSM's improve way geometry feature (press W) can make this easier. When you've finished with this way, press ] to go to the next object. Keep going as long as you want. Upload as often as you want.

With regular "gardening" tasks, OSM will be gradually improved and made better.

Hello

Posted by androstenone on 18 March 2017 in English (English)

Hello

Rural area and critical POIs/infrastructure mapping in Batangas City

Posted by TagaSanPedroAko on 17 March 2017 in English (English)

After Project NOAH-ISAIAH HOT tasks and also my rural mapping in Batangas City, there is also an increase in mapping critical POI's in the rural barangays of Batangas City, either on the lowlands or the mountainside. Schools and barangay halls are being added in rural barangays, and using names of those newly added schools or barangay halls, I trace barangays and add the nodes for them via Level0 (instead of JOSM). Rural mapping, especially of critical POI's and infrastructure, may be useful for disaster risk reduction and rural development. Before, Batangas City has the urban areas only mapped in detail, until Project NOAH-ISAIAH started a HOT task that added buildings not only in the lowland urban areas, but also in the rural areas.

Thanks to all the efforts of local mappers, especially "Brad-M", "digmaan" and "imeeperezveedor", the critical POI's (schools, day care centers, barangay halls, health centers) and infrastructure (roads and buildings) of the rural barangays of Batangas City are being mapped in more detail, like the urban areas, especially the Poblacion area. And it is possible that the city's government, via the City Disaster Risk Reduction and Management Office (CDRMMO) or City Planning and Development Office, may lead such mapping for disaster preparedness and response, and rural development.

Marked 721 as completed, and started task 36

Posted by Sinitra on 17 March 2017 in English (English)
  • I marked task 721 as completed
  • Task 720 is almost completed
  • I started 36

malenki tötlicher Unfall in Spanien

Posted by wanderpuk on 16 March 2017 in German (Deutsch)

Oh Schreck, ich habe gerade im Profil von malenki gelesen, dass er in Spanien im November 2016 einen tötlichen Unfall gehabt hat. Er hat mir hier bei OpenStreetMap viel beigebracht. Mein Herzliches Beileid auch an seine Familie....

Günni

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