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Traducción del Diary de Martijn https://www.openstreetmap.org/user/mvexel/diary/43767

ImproveOSM is mi esfuerzo como empleado de Telenav para procesar billones de puntos GPS de nuestros usuarios y socios para convertirlos en tareas procesables para mappers. Actualmente estamos detectando restricciones de vueltas faltantes, caminos faltantes o con sentidos de circulación equivocados. La forma más fácil para trabajar es esas tareas es instalando el plugin JOSM

Ahora que tenemos la nueva versión de MapRoulette, pensé que sería bueno hacer algunas de esas tareas disponibles también a través de MapRoulette. Esto las hace un poso más manejable debido a que tenemos 80,000 calles con sentido único faltante o equivocadas, casi 300,000 restricciones de vueltas y casi 1.6 millones de mosaicos con calles faltantes. Para dividir esas cifras, empecemos con un esfuerzo de país-a-país para agregar caminos faltantes. Creé un desafío para Colombia que puedes encontrar aquí. Déjame llevarte por el proceso de resolver una tarea de caminos faltantes. Utilicé JOSM para mi ejemplo. También puedes usar ID, así podrás brincarte los pasos que involucran los plugins JOSM.

1. Instala el plugin de JOSM

Si estás usando JOSM, abre las preferencias en el plugin y busca ImproveOSM. Instala y reinicia JOSM. Esto te dará tres capas del mapa de los diferentes tipos de tareas. Establecí la opacidad de la capa de caminos faltantes más baja debido a que los mosaicos pueden dificultar ver las imágenes.

2. Escoge una tarea

Ve al desafío y da clic en 'Start'. Serás llevado a una tarea al azar.

3. Completa la tarea

El marcador de la tarea en MapRoulette apunta hacia el centro de un mosaico de caminos faltantes de ImproveOSM.

Algunas veces el camino faltante no está exactamente en esa ubicación. Te puedes asegurar dando clic en Edit (asegúrate que JOSM está corriendo y el control remoto está habilitado) e inspeccionando las imágenes aéreas. También podrás ver el mosaico de ImproveOSM o los mosaicos usados para crear la tarea MapRoulette.

Después de agregar los caminos faltantes (y otras cosas que faltan o necesitan edición), puedes subir tus ediciones. Vas a notar que MapRoulette ha agregado automáticamente y apropiadamente comentarios en el changeset para ti.

4. Resolver mosaicos de ImproveOSM

Antes de Volver a MapRoulette, toma unos segundos para activar la capa de caminos faltantes de ImproveOSM, seleccionando los mosaicos afectado da clic en 'Solve' en el panel de ImproveOSM. Puedes arrastrar para seleccionar mosaicos múltiples fácilmente.

5. Repetir

Ahora podrás regresar a MapRoulette y darle clic 'I fixed it' si agregaste caminos faltantes. Si no existían imágenes aéreas apropiadas, o no estabas seguro qué agregar, puedes darle clic en 'Too difficult / couldn't see'. En caso que los caminos que ImproveOSM pensaba que faltaban ya han sigo agregados por otro mapper al mismo tiempo, selecciona 'Already fixed'. Ahora puedes regresar al paso 2 y continuar agregando caminos faltantes. ¡Feliz mapping!

¿Quieren más?

Si te gustaría ver un desafío de MapRoulette para tu área ¡por favor contáctame!

Clumber Street, a pedestrian shopping street in Nottingham
We are all familiar with 1D, or linear, maps.

We see them in graphics at bus stops; use them to work out when it's our stop on the metro; there's even a whole genre of using the style of the London Underground map for other purposes. Here are one or two examples:

New York Subway line map from 1960s


An excerpt from the Tabula Peutingeriana Bus stop showing typical public transport use of 1D mapsA 18th century road itinerary for Northumberland
Jeffrey's Fleuron (perhaps also a strip map)
If you want to know more, Laurence Penney, from Bristol, gave a highly condensed version of his talk on these maps at the international State-of-the-Map conference at Birmingham back in 2013. He has a fantastic, and ever growing, collection of examples going back at least as far as the Tabula Peutingeriana a Roman scroll of road itineraries (as a 19th century facsimile. 
 
Like cartograms, 1D maps were always a map style which I have wanted to create using OpenStreetMap data. Over the last few years I have made sporadic efforts to see how I might create them, and for quite some while I have had a reasonable notion for a workable approach. However, doing so required a fairly concerted effort to break through the little annoyances which occur at every step. In the past couple of days I have made just that effort, and seem to have something which is reasonable, and certainly meets my initial goals.

Why Now? The reason why I knuckled down to the task was pragmatic.

For several years we have spent an hour before our summer pub meetings in the East Midlands (Nottingham and Derby) mapping areas close to our meeting place. These partly help to improve OSM, but were also conceived as a way to show interested parties what was involved in mapping. This year I felt that it would be worthwhile to focus our energies in this hour on checking the centres of Derby & Nottingham for change.

As OpenStreetMap data becomes richer the issue of maintaining existing data becomes more pressing. Amenities, shops and other points of interest in town and city centres are particularly prone to change and are often changes are often difficult to spot in any systematic way. It seems axiomatic that we should strive for a means which makes checking existing data somewhat less arduous than the effort it took to create in the first place, but often that is not true. Some editors, do help a bit: Vespucci, for instance, highlights objects which have not been touched by an edit within the last year.

Clearly something which reduces the quantity of information to validate ought to help: hence 1D maps.

Outline of the technique.As I stated above, I've had a reasonable idea of how to approach the problem for a while. These are the key steps I envisaged :

• Merge all ways belonging to a particular road (identified by a common name and/or ref).
• Create a single centre line for the road (to eliminate spurs, dual carriageways, roundabouts, service roads etc).
• Identify all POIs belonging to a given street: this might be because they have the appropriate street name or are within a given distance of the street centre line (corner buildings, for instance may belong to another street, but be equally prominent on the intersecting one). 
• Locate the POI along the centre line, and, importantly, which side of the line it is located.
• Calculate distances along the centre line.

If this all goes according to plan one ends up with a tabulation like this:

Name POI Type Distance Along (m) Side of Road Distance Offset (m) Curry 77restaurant173R21The Salutationpub192R24Cuminrestaurant218L18Nottingham Credit Unionbank227R29
This format gives enough data to work on a suitable rendering.

In practice the second point is what took most time, so in the rest of the post I'll describe the steps in detail. I make no claims for elegance, and some of the steps I certainly didn't use the perhaps the best tools. Be warned there is a lot of nitty-gritty stuff below!
Step by Step guideThe Road Network & POIsI used two Overpass-Turbo queries to download all highway ways and a discrete set of POIs (all amenities, shops and offices) from the same bounding box. Data was downloaded as Geojson and immediately uploaded into PostGIS (using the QGIS DBManager). I converted everything to the British Grid on upload which simplifies distance calculations, but also gives some 'safe' areas to locate transformed data at the end.

Next I grouped all highways with the same name into multilinestrings:
SELECT nextval('street_seq') street_id
     , name
     , st_multi(st_union(geom))  geom
  FROM hwy_upload
 GROUP BY nameThe additional st_multi is needed because most roads will still be a single linestring when merged with the union function. Operations also need to work with more complex roads, so they are all treated in the same way.
Generating a Centre Line 1 : creating an approximate medial axis The first operation in generating a central line is to buffer the entire multilinestring by some arbitrary value (20 metres worked for me), and then use st_approximatemedialaxis (discussed extensively in an earlier post) to create a first cut medial axis.

There are several problems with the medial axis generated by the PostGIS functions:

• In many cases it cant be resolved to a line. 
• It's a multilinestring (I think even if the linear segments can be merged into a linestring).
• It appears that it is constructed of many 2-point lines.
• Some of the piecewise linear segments are minute (nanometres in length IIRC)
• There can be many short or very short stubs.

These problems were what stymied me when I first looked into using the medial axis.

Some can be reduced by using st_snaptogrid. Using a 1 m snapping grid is absolutely fine for my purposes and eliminates some of the more absurdly short segments. After considering various ways of pruning the medial axis graph I instead decided that routing through it was easier to try.
Generating a Centre Line 2: using pgrouting As I had the data in PostGIS pgrouting was a fairly obvious candidate to generate routes. It is a relatively lightweight set of tools for generating routes and trivial to install

To prepare the data for pgrouting I decomposed the medial axis multtistrings using st_dump and stored them in a new table.

I also extracted all the points (node) from the original road linestrings and for each street found the pair of points which were most distant from each other. These two points would be used later as the source and target nodes for routing:
WITH st_pt_distance AS (
      SELECT street_id,
             a.pt_id source_pt_id, b.pt_id target_pt_id,
             a.pt_geom source_pt_geom, b.geom target_pt_geom,
             st_distance(a.pt_geom, b.pt_geom) distance
        FROM hwy_pts a, hwy_pts b
        WHERE a.street_id  = b.street_id
          AND a.pt_id <b.pt_id
           )
SELECT street_id,
FROM st_pt_distance
WHERE distance = (SELECT street_id, max(distance)
                    FROM st_pt_distance
                GROUP BY street_id)As I only want routing along an individual street it was not obvious if I could safely use a single table for pgrouting. I therefore decided to use a temporary table for each street, and iterate over each street using a Postgres stored procedure. Streets with inconvenient geometries (such as those having two exterior rings when buffered) are eliminated at this step.

Examples of buffered roads with rejected geometries (mostly in 2 or more parts).
Some are correct others needed fixingThe basic means of generating a route was as follows:

• Create the temporary routing table:
  CREATE temp_table AS
  SELECT a.street_id, (st_dump(aml_geom)).path street_seg_id,
         (st_dump(aml_geom)).geom as geom,
         st_length(st_dump(aml_geom)).geom) as cost,
         st_length(st_dump(aml_geom)).geom) as reverse_cost
    FROM hwy_upload
   WHERE a.street_id = <value>
• Prepare the table for pgrouting:
  SELECT pgr_createtopology('temp_table', 0.0000001,'geom');
  
  This routine creates another table temp_table_vertices which contains the nodes (vertices) of the routing network). Useful to remember when cleaning up the temporary tables. (I'm not sure why I used such a small value for the second parameter. I think I was worried about the very short segments which I later eliminated).
• Create a route. I used the standard pgr_dijkstra call which returns a list of all vertices and edges making up the route:
  
  SELECT *
  FROM pgr_dijkstra('select street_seg_id,
                     source,
                     target,
                     cost,
                     reverse_cost from temp_table',
                    (SELECT id FROM temp_table_vertices_pgr
                      WHERE geom = (SELECT start_pt from hwy_upload
                                     WHERE street_id =<value>)),
                    (SELECT id FROM temp_table_vertices_pgr
                      WHERE geom = (SELECT end_pt FROM hwy_upload
                                     WHERE street_id =<value>))
• In principle I should have been able to just use st_linemerge to assemble the parts of the route, but I found some small gaps which prevented the function from working. Instead I used the ordered set of nodes and made the line from them with st_makeline. This approach rather relies on the medial axis segments only having 2 points. (This may have been related to the short segments, but I haven't tried the original technique since then):
  
  SELECT st_makeline(pts) geom from (
      SELECT c.*
      FROM
          ((SELECT b.street_seg_id,seq,node,edge,agg_cost, geom,
                   st_pointn(b.geom,1) pts 
              FROM pgr_dijkstra(<see above>) a
              JOIN hwy_aml_dump b on edge=street_seg_id)
              ...

And VOILA! we have a centre line, almost home and dry.
Adding the POIsIt is now trivial to calculate position along the centre line for each of the selected POIs using st_linelocatepoint:

SELECT street_id, poi_id,
       st_linelocatepoint(
         st_pointn(
           st_shortestline(poi.geom,street.centreline_geom),
         2),
         centreline_geom)
       * st_length(centreline_geom) distance_along_street
  FROM streets street, pois poi
 WHERE street.street_id = poi.street_idThe offset from the centre line is given by st_shortestline, but we need one other piece of information: where the POI is to the left or right of the centre line. Unfortunately it is not possible to rely on the shortest line dropped to the street centre line. It needs to be extended slightly to ensure it crosses the street centre line. Doing this is fairly painful in PostGIS (best managed with a simple function, see GIS Stack Exchange for examples):
SELECT st_makeline( /* line from POI to 5 m across centre line) */
         geom,      /* POI location */
         st_translate(geom, /* xsect_geom is intersection point */
           sin(st_azimuth(geom, xsect_geom ) *
           (st_length(st_shortestline(geom,xsect_geom ))+5),

           cos(st_azimuth(geom, xsect_geom ) *          
           (st_length(st_shortestline(geom,xsect_geom ))+5))
  FROM poisNow the st_linecrossingdirection function works every time, and because these are simple straight lines we can assign POIs to left or right.
Pulling it togetherMaid Marian Way in central Nottingham
showing the calculated central line (orange)
and short lines (red) from POIs.
This is a topologically complex road.Now all the components exist and it's possible to generate the tabulation of POIs shown above. This is in itself quite useful, we used my initial tabulation a little last night until the rain made paper-based mapping infeasible. However, the original goal is some kind of more usable visualisation such as that shown at the head of the post. I'll discuss how I used QGIS to achieve this in the next post.

I will add queries & other code to github in the near future, probably as GISTs for now. Much of this was driven by wanting something to hand for our first mapping evening, and in many cases I went with what I could get to work quickly rather than investigating why a given result was unexpected.

One other unexpected benefit is that I discovered a few bugs in OSM data. As is often the case when one looks at a larger set of data inconsistencies and minor errors stand out rather quickly.

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This craft is not named Big Kanu for nothing, measuring 24 metres, this vessel is designed to handle large swells and remains stable even in the face of big swell. Set to handle adventure tours, surf charters and diving expeditions, Big Kanu is aqua-dynamically shaped, features a triple hull design and can sail at around 12 knots comfortably. This fantastic craft can handle 12 guests in comfort even when everyone is on-board and relaxing as opposed to diving, fishing or surfing. Big Kanu is designed for longer range charters and frequently cruises Raj Ampat and Komodo regions. It comes equipped with solar panels, a sound system, TVs and a kitchen whcih has everything required for longer term charters. Rod Davis designed and built this craft and also captains it for cruises. He brings a warmth and friendliness to this amazing vessel, which sees this charter vessel being booked up almost all year round. Rod Davis has circumnavigated the world and also knows the Indonesian achepeligo well. His amazing vessel and unparalleled experience makes Big Kanu a charter vessel to consider when booking your charter. Advanced bookings are recommended. Big Kanu sails to Ampat, Lomodo, Lombok and the Gili Islands regularly and there are various packages available to suit your needs.

17.04.2018-23.04.2018

Die "Great Polish Map of Scotland" in OpenStreetMap 1 | © OpenStreetMap Mitwirkende CC-BY-SA 2.0

Mapping

• Im OSM-Editor Vespucci wird es in Zukunft eine Layerverwaltung geben.
• Colin Blackburn twittert seinen Respekt gegenüber dem Mapper, der die „Great Polish Map of Scotland“, ein 200 m² großes Modell Schottlands, detailliert gemappt hat.
• Die Amazon-Cloud ist als Nebenwirkung der Telegram-Sperre der russischen Aufsichtsbehörde für Massenmedien, Telekommunikation und Datenschutz ebenfalls gesperrt worden. Das betrifft teilweise auch JOSM, weil bestimmte Rendering-Stile und Objektvorlagen Dritter von GitHub heruntergeladen werden. GitHub nutzt nämlich auch die Amazon-Cloud. (via Twitter, Heise.de)
• Auf der Tagging-Mailingliste wird über die englische Benennung und das Tagging von Fahrradübungsplätzen diskutiert.
• Im deutschen Forum wird diskutiert, wie mit der 2-Länder-Route (Relation 2073115) zu verfahren ist, bei der die offizielle Wartung und Beschilderung aufgegeben wurde.
• Die organisierte Mappinggruppe, die mit verschlimmbessernden Reparaturversuchen an Straßen aufgefallen ist, beantwortet immer noch keine Fragen und hat ihren Fokus auf das Ergänzen von highway=service in den USA geändert. Weitere Konten sind gesperrt und deren Änderungen im großen Stil zurückgesetzt worden. Einige Amerikaner sind jedoch mit den Reverts nicht einverstanden.

Community

• Pascal Neis liefert auf seiner Homepage einen detaillierten Überblick über Changeset-Diskussionen.
• Bryan Housel schlägt auf GitHub vor, zwei weitere Benutzerrollen (director/directee) für das organisierte Mapping auf OpenStreetMap mit erweiterten Rechten einzuführen.
• Ali Felski berichtet über bei Arbeit im Development Seed und darüber, welche Anforderungen von verschiedenen Gruppen an die Mitarbeit in OpenStreetMap gestellt werden, sodass insgesamt Verbesserungen möglich sind.

Veranstaltungen

• Vom 1. bis zum 3. Juni findet in Bordeaux die sechste SotM France statt. Sämtliche Haltestellen von TBM (Transport Bordeaux Métropole) sind nun auf OSM basierten Karten abgebildet. Die Organisatoren der SotM France zeigen sich über diese besondere Willkommensgeste hocherfreut.
• Die Anmeldungen zur SotM France (1.-3. Juni 2018) in Bordeaux sind jetzt möglich.
• Vom 3. bis 5. Mai 2018 finden die Linuxtage im FH Technikum Wien statt. OpenStreetMap Austria ist mit einem Stand vertreten. Am 4. Mai findet dort auch die Mitglieder-Versammlung des österreichischen OSM-Fördervereins statt.
• Am 21. und 22. Mai findet der OSM Spring Hackathon in Washington DC in den Räumlichkeiten der Firma Mapbox statt.
• Am 19. Mai findet die OpenStreetMap UK 2018 in Manchester statt. Der Nachmittag wird aus der 1. Jahreshauptversammlung von OSM UK CIC bestehen, gefolgt von Workshops und Kartierungen durch Community-Mitglieder aus dem ganzen Land.
• Auf der State of the Map 2018 in Milan wird es einen Posterwettbewerb geben. Die (Online-)Einreichung von Vorschlägen zur Ausstellung von insgesamt 20 Postern ist noch bis zum 30 Juni offen.

Humanitarian OSM

• HOT US Inc. unterstützt mit seinen Microgrants im Jahr 2018 acht OSM-Communitys, darunter z. B. OSM Benin und Sri Lanka.
• OpenStreetMap und TheMissingMaps twittern über die 30 Millionen Gebäude, die durch MissingMap-Freiwillige eingetragen wurden.

Karten

• Bike Ottawa hat mittels Mapillary eine Karte erstellt, um den Straßenzustand und die Befahrbarkeit sowie Isochronen in Ottawa darzustellen.

Open-Data

• Christoph Hormann erinnert an das zehnjährige Jubiläum der ersten Veröffentlichung der Landsat-Bilder durch den USGS (U.S. Geological Survey).

Lizenzen

• Simon Poole stellt auf den Mailinglisten Talk und OSMF-Talk die Empfehlungen (PDF) der License Working Group zur Umsetzung der Datenschutzgrundverordnung im OpenStreetMap-Projekt vor und lädt zur Diskussion ein.
• Das Hamburgische Oberverwaltungsgericht hat entschieden, dass die Handelskammer Hamburg nicht unter das Hamburger Transparenzgesetz fällt.

Programmierung

• Klokan Technologies berichtet vom Prozess, wie eine Weltkarte basierend auf OpenMapTiles auf einem eigenen Server mittels Docker auf einem Cluster sehr schnell generiert werden können.
• Das Heidelberg Institute for Geoinformation Technology hat ein R-Paket zur Nutzung der Openrouteservice-API veröffentlicht.

Releases

• Das Team von OSM-Carto hat eine neue Version des Kartenstils (v4.10.0) veröffentlicht. Zu den ab jetzt gerenderten Objekten gehören einige etablierte Tags wie unter anderem jegliche office=*-Werte, historic=castle und manor, sowie amenity=parking_space oder waterway=waterfall.

Weitere Themen mit Geo-Bezug

• Marwe hat den Transformationsansatz BWTA2017, der baden-württembergischen Lösung für die Transformation des Liegenschaftskatasters in ETRS89/UTM, mit der bundesweiten BETA2007-Lösung des Bundesamtes für Kartographie und Geodäsie verglichen.
• CNBC berichtet über den Kampf von Google und seinen unbezahlten Freiwilligen gegen Spammer in Google Maps.
• Der König von Swasiland, Mswati III., verkündete die Umbenennung des Landes in eSwatini. Anlass ist die 50-jährige Unabhängigkeit von Großbritannien.
• Mapbox rühmt sich, einen Mitarbeiter von Google Maps abgeworben zu haben.
• Das Leibniz-Institut für Länderkunde e. V. stellt ihre historische Kartensammlung der geographischen Zentralbibliothek unter der CC0-Lizenz online.
• Die Ausgabe 05/2018 von linuxUSER beschäftigt sich schwerpunktmäßig mit der Nutzung von Geodaten und behandelt unter anderem OSGeo Live und QGIS.
• Viele Garmin-Navigations-Apps werden ab Mai nicht mehr zum Download angeboten. Die meisten können in gewissem Umfang noch weitergenutzt werden.
• Google Maps testet Landmarken-basierte Navigation. Das kann OSM schon länger über Openrouteservice für Fußgänger zunächst in Deutschland.
• Auf xyHt ist ein Artikel darüber erschienen, wie unterschiedliche OpenStreetMap-Tiles einfach in QGIS 3.0 eingebunden werden können.

Wochenvorschau

Wo Was Wann Land Lübeck Lübecker Mappertreffen 2018-04-26 Graz Grazer Linuxtage 2018-04-27-2018-04-28 Bochum OSM Einführungsworkshop für Anfänger mit praktischer Umsetzung 2018-04-28 Toulouse Réunion mensuelle 2018-05-02 Stuttgart Stuttgarter Stammtisch 2018-05-02 Bochum Mappertreffen 2018-05-03 Dresden Stammtisch Dresden 2018-05-03 Urspring Stammtisch Ulmer Alb 2018-05-03 Grenoble Missing Maps mapathon 2018-05-03 Dortmund Mappertreffen 2018-05-06 München Münchner Stammtisch 2018-05-09 deutscher Mumble-Server öffentliche Vorstandssitzung FOSSGIS e.V. 2018-05-09 Berlin 119. Berlin-Brandenburg Stammtisch 2018-05-10 Rennes Réunion mensuelle 2018-05-14 Nantes Réunion mensuelle 2018-05-15 Lüneburg Lüneburger Mappertreffen 2018-05-15 Bonn Bonner Stammtisch 2018-05-15 Lyon Rencontre mensuelle pour tous 2018-05-15 Paris – Marne-la-Vallée FOSS4G-fr 2018 2018-05-15-2018-05-17 Karlsruhe Stammtisch 2018-05-16 Mumble OpenStreetMap Foundation public board meeting 2018-05-17 Bordeaux State of the Map France 2018 2018-06-01-2018-06-03

Hinweis:
Wer seinen Termin hier in der Liste sehen möchte, trage ihn in den Kalender ein. Nur Termine, die dort stehen, werden in die Wochennotiz übernommen. Bitte prüfe die Veranstaltung in unserem öffentlichen Kalendertool und korrigiere bitte die Einträge im Kalender, wenn notwendig.

Diese Wochennotiz wurde erstellt von Nakaner, Peda, Rogehm, derFred, doktorpixel14.

By: Marena Brinkhurst

I am the Lorax! I speak for the trees. I speak for the trees, for the trees have no tongues.” - Dr. Seuss

This Earth Day, a group of volunteers from the OSM community participated in a mapathon to “speak for the trees” as the Lorax would say — to map ecosystems and environments they care about. Together, our team, MapHubs, and Vulcan used the event to test OSM Earth, the new public tasking manager that helps you coordinate groups of digital mappers during environmental mapping projects (built by MapHubs). A note: OSM Earth is a direct fork of the open-source Humanitarian OpenStreetMap Team (HOT) Tasking Manager (made possible by the leadership and contributions of HOT and OSM communities.)

A look at OSM Earth. Logo by Angel Kittiyachavalit.We were inspired by the incredibly active and motivated community of disaster-response mappers and humanitarian mappers that the Humanitarian OpenStreetMap Team and partners have cultivated. We thought, let’s see if there could be a similar community that loves to map for environmental causes. — Leo Bottrill, MapHubsTeam volunteers in San Francisco, Washington DC and Bangalore test out OSM Earth during the Earth Day mapathon.There hasn’t yet been a rallying point for people who are most interested in mapping land-use, landscape features, or infrastructure that is significant for environmental protection projects, like logging roads or unplanned development near protected areas. I’m excited to see OSM Earth grow as a place where OSM mappers can develop their skills for this kind of mapping, and for environmental mappers to recruit help from the wider OSM community. — Joel Masselink, VulcanMapathon Tasks

Volunteers from our team, MapHubs, and Vulcan worked in OSM Earth on a variety of tasks including:

• Spotting signs of encroachment near protected areas in the DRC: OSM contributors can map signs of encroachment (new roads, new settlements, etc) near Virunga National Park in the DRC. This project supports the Virunga Alliance, which works in collaboration with local communities to prevent encroachment, poaching, and other environmental damage to this refuge of mountain gorillas.
• Mapping sea level rise in island communities: Volunteers can map island communities most at risk of sea level rise — from Alaska to the Maldives to Papua New Guinea. Some of these islands are very small, and some have not been mapped in OSM at all, but people live there. Up-to-date maps help local populations better understand what infrastructure is at risk as sea levels rise.
• Understanding indigenous land use in Kenya: participants can contribute to the mapping efforts of the Northern Rangelands Trust, Kenya Land Alliance, and the Ogiek Peoples Development Program. These organizations work to help indigenous communities map their traditional lands; and have a greater say in how they are used.
• Mapping Himalayan glaciers: Our Bangalore team contributed a task that was close to home, helping community members map glaciers as they change in the Himalayas.
• Tracking tourism infrastructure in the Philippines: Inspired by reports of unsustainable development and pollution on the island of Boracay in the Philippines, the team challenged mapathon volunteers to add missing buildings and infrastructure to the Boracay map. With an updated map, local leaders can better understand the speed of development on the island.

Locations of the mapathon’s tasks spanned the globe.

In all, our team’s mapathon volunteers made 1,800 road/buildings edits and 395 glacier edits.

Help the planet — contribute to OSMIt was really easy to get started mapping on OSM — a 10-minute guided online tutorial, and you’re good to go. I loved the meditative nature of studying satellite imagery and identifying buildings and roads. It’s satisfying to think I can maybe help people somewhere across the world do better work to improve lives — all without having to leave my desk!” — Sofia Heisler, Mapbox

Join the thousands mapping in OpenStreetMap every day and support organizations and communities working for environmental protection and sustainable development—contribute to the coordinated mapping projects in osm.earth. For resources on learning how to map in OSM, visit learnosm.org.

Marena Brinkhurst

A mapathon for the environment with OSM Earth was originally published in Points of interest on Medium, where people are continuing the conversation by highlighting and responding to this story.

ImproveOSM is my employer Telenav's effort to process billions of GPS points from our users and partners into actionable tasks for mappers. We currently detect missing turn restrictions, missing or wrong one-ways and missing roads. The easiest way to work on these tasks thus far was to install the JOSM plugin.

Now that we have a new version of MapRoulette, I thought it would be nice to make some of these tasks available through MapRoulette as well. This makes it a bit more manageable, because we have 80.000 missing or wrong one-ways, almost 300.000 missing turn restrictions, and almost 1.6 million missing road tiles.. To break that down, let's start with a country-by country effort to add missing roads. I created a challenge for Colombia that you can find here. Let me take you through the process of solving a missing roads task. I use JOSM for my example. You can use iD as well, but then you can skip the steps that involve the JOSM plugins.

1. Install the JOSM plugin

If using JOSM, open the plugin preferences and search for ImproveOSM. Install it and restart JOSM. This will give you three map layers for the different types of tasks. I set the opacity for the missing roads layer lower, because the tiles can make it hard to see the imagery.

2. Pick a Task

Go to the challenge and click 'Start'. You will then be taken to a random task.

3. Complete the Task

The marker for the Task in MapRoulette points to the center of a ImproveOSM missing roads tile.

Sometimes the missing road is not exactly at that location. You can make sure by clicking Edit (make sure you have JOSM running and remote control enabled) and inspecting aerial imagery. You will also see the ImproveOSM tile or tiles used to create the MapRoulette task.

After adding the missing roads (and other things that you see missing or need editing), you can upload your edits. You will notice that MapRoulette has automatically added an appropriate changeset comment for you.

4. Resolve ImproveOSM tiles

Before you switch back to MapRoulette, take a few seconds to activate the ImproveOSM missing roads layer, selecting the tiles affected, and click 'Solve' in the ImproveOSM panel. You can drag to select multiple tiles easily.

5. Repeat

You can now return to MapRoulette and click 'I fixed it' if you added the missing roads. If there was no appropriate aerial imagery, or you weren't sure what to add, you can click 'Too difficult / couldn't see'. In case the roads that ImproveOSM thought were missing were already added by another mapper in the mean time, select 'Already fixed'.

Now you can return to step 2 and continue adding missing roads. Happy mapping!

Want more?

If you would like to see a MapRoulette challenge for your area, please contact me!

Once or twice a month I build data for MAPS.ME application. After the process of downloading OSM data, building coastlines, extracting objects, generating indexes and packaging mwms is done, the final stage is testing. With that, I get notified when a file size changed dramatically, or many objects of a same type were added or removed in a region. I think you might be interested in some of these changes.

So, what happened between 16th March and 17th April?

• Indonesia_Central: file size increased from 67 to 107 MB
• Portugal_South: decreased from 56 down to 53 MB
• Tanzania: 183 up to 212 MB (and it was just 87 MB a year ago!)

And in objects of specific types:

• In Argentina somebody changed many road classes, mostly up (res→tertiary, primary→trunk).
• And number of place=town objects fell threefold.
• In Australia, somebody added surface=aspalt tag on a hundred thousand ways.
• Austria_Salzburg: 17 thousand more address points (24k → 41k).
• Bangladesh: office=ngo went from 76 to 121 objects.
• Bolivia_South: 123% increase in buildings (39k → 87k).
• Brazil around Minas Gerais: +30k power=tower and +300 substations.
• Brazil_South Region_West and Cape Verde: lost all highway=trunks (~50 ways each).
• Burundi: waterways increased by 100%, e.g. streams 6k → 12k objects.
• Canada_Ontario_Kingston: no more railway=tram.
• Czech_Stredni Cechy_East: post boxes: 450 → 1332.
• Germany_North Rhine-Westphalia_Regierungsbezirk Detmold: 64% of railway=light_rail converted to railway=tram.
• India_Andhra Pradesh: imported 8000 place=village/hamlet.
• India_Assam: mapped 6600 buildings (+108%).
• Indonesia_Central: mapped A LOT of roads (~40k tracks and unclassifieds) and 1.6 mln buildings (+180%).
• Italy_Marche: imported 3200 address points (+120%).
• Kenya: mapped 6k power=tower (+130%).
• Libya: mapped 9500 intermittent streams (up from 113).
• New Zealand North: imported 305k address points (+172%).
• Norway: imported many thousands of amenity=recycling all over the country, ~500% increase.
• Peru_Lima: shop=electronics count increased from 341 to 1447.
• Peru_South: mapped 43k buildings (+52%).
• Portugal_South: lost around half of natural=wood, =scrub, =grassland, landuse=farmland (36k to 20k), building:part (2500 to 800), railway=station (291 to 176).
• Russia_Saint Petersburg: leisure=stadium count went down from 172 to just 36. Yes, it's one of FC 2018 cities.
• Rwanda and Sudan_West: lost all of highway=living_street.
• South Africa_Western Cape: added ~7k obscure amenity=* values.
• In Spain somebody retagged most amenity=doctors as amenity=clinic.
• Tanzania: building:part count went up from 1081 to 2655.
• In some regions of the United States, hundreds thousand highway=service ways appeared.

My name is Namitala Gertrude (Trudy Hope). I am a Ugandan IT and GIS professional with over 5 years of experience in developing IT solutions, especially for mapping important features in remote villages and peri-urban areas in Zambia. I am currently working in Zambia where I co-founded OSM Zambia and a managing director TruDigital Technologies. I was introduced to OSM in 2013 by Kateregga Geoffrey after I expressed interest in mapping my primary school. I have been an OpenStreetMap mapper since then. .

I am part of OSM Africa and have supported different countries to establish OSM operations and given them guidance where need be. I got to know about Humanitarian OpenStreetMap Team in 2016 when I wanted to use the tasking manager and was impressed at what HOT does. HOT’s ideology resonates with what I believe, so I wanted to contribute more. That is the reason I decided to join the HOT fundraising and HOT summit working groups.

I have led OSM Zambia for two years now and within this short period, the community has grown to over 500 mappers from a handful of mappers when we started out. OSM is now being recognized by the councils all over the country. Open map data sharing is getting more recognition in Zambia and Malawi. I have also been advocating for women participation and inclusion in the mapping community. I have established partnerships with international organizations, government, NGOs, private companies, schools that have all supported our community.

My interest in becoming a board member lies in the reasons outlined below: To grow gender inclusion and get more women involved in HOT and OSM to increase diversity in the community. Increase the presence of HOT in every country in Africa To make OSM the strongest and most trusted map in Africa. To get more partners supporting HOT’s mission

I have a lot to contribute to HOT, but more importantly, being part of HOT will enhance my leadership skills as I hope to learn more about working with a larger organization.

Thank you for taking time to read and I hope you vote for me and change the world together. `

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I’m going to disable the Space Station render style, it never really looked good on paper anyway, and rendering it consumes too much menory, causing errors with larger paper formats.

If you think it should still be offered in the future please let me know in the comments.

My name is Namitala Gertrude (Trudy Hope). I am a Ugandan IT and GIS professional with over 5 years of experience in developing IT solutions, especially for mapping important features in remote villages and peri-urban areas of Africa. I am currently working in Zambia where I co-founded OSM Zambia and a managing director TruDigital Technologies. I was introduced to OSM in 2013 by Kateregga Geoffrey after I expressed interest in mapping my primary school. I have been an OpenStreetMap mapper since then. .

I am part of OSM Africa and have supported different countries to establish OSM operations and given them guidance where need be. I got to know about Humanitarian OpenStreetMap Team in 2016 when I wanted to use the tasking manager and was impressed at what HOT does. HOT’s ideology resonates with what I believe, so I wanted to contribute more. That is the reason I decided to join the HOT fundraising and HOT summit working groups.

I have led OSM Zambia for two years now and within this short period, the community has grown to over 500 mappers from a handful of mappers when we started out. OSM is now being recognized by the councils all over the country. Open map data sharing is getting more recognition in Zambia and Malawi. I have also been advocating for women participation and inclusion in the mapping community. I have established partnerships with international organizations, government, NGOs, private companies, schools that have all supported our community.

My interest in becoming a board member lies in the reasons outlined below: To grow gender inclusion and get more women involved in HOT and OSM to increase diversity in the community. Increase the presence of HOT in every country in Africa To make OSM the strongest and most trusted map in Africa. To get more partners supporting HOT’s mission

I have a lot to contribute to HOT, but more importantly, being part of HOT will enhance my leadership skills as I hope to learn more about working with a larger organization.

Thank you for taking time to read and I hope you vote for me and change the world together. `

Le Cirque Dance Studio là một trong những trung tâm học nhảy tốt nhất tại Hà Nội. Tại đây có rất nhiều bộ môn nhảy dễ dàng cho các bạn lựa chọn như sexy dance, shuffle dance,hiphop....

Xem thêm my Gravatar: https://gravatar.com/lecirquevn

I was introduced to Opensteetmap by the Unique Mappers Team (UMT) Port Harcourt at the #1 MAPATHON training led by Mr Sunday Victor. He showed how to get registered on Openstreetmap and how to map. For the training, we (those available for the training) worked on project 400 using osm which involved mapping features such as buildings and roads in The University of Port Harcourt and I was added to the Let's Map Our World whatsapp group. From the group, I got to know about The STALL CATCHERS. I participated in the worldwide Catchathon which helped Alzheimer's research. I had a wonderful time catching stalls with the Unique Mappers Team. It was a really fun experience and I enjoyed the pizza. I participated in osm task #project-3530 #MXEarthquake 2017 with the guidance of UMT. Alone, I attempted #project-3443 Sierra leone - Regent, Kamayama, Kaningo- Landslide affected area using OpenStreetMap but failed to edit and save the changeset. I have also worked on #project-4370 #mappingperi-urban areas, Lusaka. Mapping this area was successful. I met with the coordinator of Unique Mappers Team, Mr Sunday Victor on Monday 23rd April 2018 for a formal interview and registration as a full member of Unique Mappers Team, Port Harcourt.I am indeed glad to be a Unique Mapper Team member. So far, it's been fun and I know there's a lot more. I'm willing to dedicate my time and passion to mapping the world as long as it does not make me go down academically. This I strongly doubt because I love mapping as well as my course of study, Geography and Environmental Management. I believe spending reasonable time on both will actually help me improve on both. Thanks to OpenStreetMap and my field of study, I'll get to know and map, and soon, visit different parts of the world.

Hello OSM community I had a great weekend.Hope you did too!.

I was lucky to e-meet a wonderful guy Victor Sunday of OSM Nigeria and he proposed UniqueMappers collaborating with Gambia ConnectedYouthMappers which is awesome and I took it whole heartedly.He told me a little bit about letgirlsMap chat group and joined me to the group chat, I was amazed and impress on the work these ladies does, I can't wait to get to know them more.

Jarai, OSM Gambia ConnectYouthMappers leader.

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Poster competition at SotM-EU 2014. Photo by Michael Reichert. Licence: Attribution 2.0 Generic (CC BY 2.0)

At State of the Map we love hearing what has been done with open map data, but we also love seeing it too. This year we’re taking inspiration from regional SotM EU conference and holding a poster competition. Your poster could show how well your home is mapped, it could be a beautiful new style or map. It might not focus on a map but instead focus on a community or statistics, it might be a poster explaining and inviting people to OpenStreetMap. What’s important, is we want it to be about OpenStreetMap.

Rules for the competition

• Poster should be for A0 size (841×1189mm)
• Poster should be about OpenStreetMap
• One entry per person

How to enter

• Upload your poster online
• Send an e-mail to team@stateofthemap.org with the subject “Poster Entry“
• Include: a link to the image, title of the poster, your name(s), whether you would like to bring the A0 poster or for us to print it. The licence of the submitted works is considered to be CC BY-SA 4.0, unless noted otherwise on the image.

Deadline: 30th June 2018

With the entries

• The SotM team hope to shortlist up to 20 posters that will be displayed during the State of the Map 2018 conference in Milan
• During the conference, attendees will be invited to vote on their favourite posters
• As of this time there are no prizes planned other than the satisfaction of sharing your poster with the State of the Map community.

You don’t have to attend SotM 2018 to enter this competition, but great conversations happen while viewing the posters so grab your SotM tickets here!

In der Adresserfassung entstandene Duplikate und Redundanzadressen findet man mit folgender OverPassTurbo Abfrage.

Findet Mehrfacheinträge Hausnummern: Berücksichtig addr:street, addr:place, Polygone und Nodes, prüft auch mehrfach eingetragenes Gewerbe. Bitte zur Vermeidung unnötiger Serverbelastung, den zu prüfenden Kartenausschnitt manuell festlegen, oder das Fenster nicht zu groß wählen.

http://overpass-turbo.eu/s/y7Z

Hinweis: Die Query läuft gegen einen Entwicklungsserver, daher mit Bedacht anwenden.

I learned yesterday that Norwegian airlines use openstreetmap data in their entertainment system. Looking for my edits at 12000 m was fun! :-) They don't use vector map, but instead they seem to use raster tiles. The quality doesn't go detailed street level, but it's not required for a flight map.