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Ik ben jij

Posted by Varkpower on 20 April 2016 in Dutch (Nederlands)

Lief dagboek,

ik ben jij

einde

Open Peer Review Process at Mapbox

Posted by pratikyadav on 20 April 2016 in English (English)

As part of the Mapbox Data team, we make sure that our contributions to OpenStreetMap from our mapping projects, through user feedback and support to HOT activations are at par with the OpenStreetMap data quality standards. One of the ways we check data quality is through our weekly manual peer review process.

To be more open towards our QA processes, we are bringing our manual peer review accessible for anyone to participate.

cwe5a3kxiaact3a

The process of manual peer review are as follows:

  • Every Wednesday a new Peer Review Ticket will be opened in our mapping repo with the following information:

    • List of projects the team worked on last week;
    • Link to each member's edits (in .osm format) extracted using osm-history-processor
    • Instructions on loading data to JOSM.
  • After loading the data for a specific team member in JOSM, we compare the edits to the latest data.

  • We use JOSM filters to see only the edits of a specific team member.

  • We review quality based on the context of the mapping project. Specifically, we look for:

  • The reviews are compiled as ticket comments for each team member providing links to changeset/ways/nodes that should be fixed.

  • Each team members will check all reported issues and correct the edit if necessary. In case of disagreements, we use changeset comments to discuss specific edits.

Aside from the manual peer review, we also run daily automated error detection with OSMLint and validation using the Tasking Manager.

We invite the community to take part in the process and improve workflow. Feel free to comment on the peer review ticket to report any quality issues in our edits.

Happy mapping.

Mapbox's probably fragmentary "Tracking conversations" tool

Posted by malenki on 19 April 2016 in English (English)

This message I wanted to send to Mapbox. Regrettably you either need to create an account to "contact" them or use some fancy social network foo.
Ever written an email on twitter?

Thus I paste the mail here and link it on twitter. Brave new world…

Hi,

in January you published a new tool named "tracking conversations"¹ which is supposed to list (I assume all) comments a user made on Notes or Changeset Discussions at OSM. Querying for changeset discussions I contributed to since January shows a meagre three discussions:
https://www.mapbox.com/osm-comments/#/changesets/?q=from:2016-01-01%20users:malenki&show=all
Pascal Neis' tool which shows only the discussions of the last seven days lists seven changeset discussions from me: http://resultmaps.neis-one.org/osm-discussions#11/51.1279/14.2215

Do I handle your tool wrong or does it have a bug?

Best regards
[malenki]

Please send an answer to osm at malenki dot ch
(It would be useful to have an "your email address"-field on the tech support form as well)

¹ https://www.mapbox.com/blog/osm-comments/

300 ....

Posted by Harald Hartmann on 19 April 2016 in German (Deutsch)

... ist die nächste Ausgabe der Wochennotiz ... ein Grund um mal zu schauen, was noch so alles hinter dieser Zahl steckt:

Hab ich was vergessen? :)

Ofis Mobilyaları

Posted by ofismob on 19 April 2016 in Turkish (Türkçe)

Ofis Mobilyalarinda lider firma Nehir Ofis Mobilyasi ile ofislerinizin trendlerini 2016 standartlarina tasiyin. En uygun fiyatli ofis mobilyasi garantisi, yaza ozel %30 indirimli buro mobilyalaiı ve 5000 m2 kapasiteli shoowromuyla nehir ofis hizmetinizde.

Sac Ekimi

Posted by mdhair on 19 April 2016 in Turkish (Türkçe)

Erkeklerin en buyuk sorunlarindan biri de Sac Dokulmesi. Sac dokulmesini engellemek mumkun degil ama dokulen saclar Dogal Sac Ekimi yöntemleriyle Md Hair Center kalitesinde mumkundur. En uygun Saç Ekimi fiyatları icin Md Saç Ekim Merkezini tercih edin.

Updating NYC building footprints - Part 1

Posted by PlaneMad on 19 April 2016 in English (English)

NYC had an import of over 1 million building footprints and 900,000 addresses in 2014 from the New York City Department of Information Technology and Telecommunications (DoITT). The DoITT GIS releases an updated shapefile of the footprints every quarter, and the latest version can be accessed here: Building footprints | Address points

Open datasets like these are a great opportunity to explore how OSM can be used as a bridge between authoritative information and that crowdsourced by citizens. Two years after the import, it is interesting to see how the OSM data compares with the latest official footprints. The interesting questions to ask is:

  • What has improved in the DoITT footprints that can be updated in OSM?
  • What has improved in OSM that can be updated in the DoITT data?

Both of these are pretty challenging questions and requires some careful data comparison and conflation. manings and I were trying our hand at answering these questions and here is our progress.

Preparing the data

Grab the latest NYC footprints from DoITT and the NYC OSM extract from Mapzen.

Use QGIS to filter only the buildings from the OSM extract and save it as a separate shapefiles to make the analysis slightly faster.

Visual diff of footprints

A simple way to quickly see a difference between the geometries in the two datasets is to do a visual diff by overlapping the layers with different colors. Geometries that don't overlap will show the color of the underlying layer.

screenshot 2016-04-14 17 34 26 Green=missing in DoITT; Yellow= OSM overlaps DoITT; Red=missing in OSM. (interactive map)

This is a purely visual comparison and with some eyeballing, we noticed not much has changed. The green buildings on the New Jersey side are outside the import area and do not exist in the DoiTT dataset. We know have a few more questions that lie unanswered:

  • Why are there missing buildings in the latest DoiTT data, is it because OSM more updated, or have the buildings been demolished and OSM is outdated?
  • Why are there missing buildings in OSM? Were they demolished and deleted, or were they never they never added in the first place?

Both the above questions can be answered if we know which dataset is more updated, and the only reliable method to find out is to visit the site and ground truth the information.

Centroid diff of footprints

Next we will try to detect changes in building configurations, where buildings might have combined or been split from its parent. This can be done by comparing the centroids of the two footprint datasets and check if they match. To do this, we can first extract the centroid of all the OSM footprints, and using a point in polygon analysis, find out how many centroid intersect with every DoITT footprint.

screenshot 2016-04-14 18 28 57 Black=0 OSM footprints at location; Grey=1 OSM footprint at location; Yellow= 2 OSM footprints at location; Red=2+ OSM footprints at location

untitled2 This method can isolate the footprints that need to be added into OSM, but its not a simple insertion as there may be cases where a single building might need to be split into smaller buildings

untitled2 This also detected overlapping polygons in OSM, and cases where multiple buildings need to be combined into larger buildings

untitled2 In cases where the buildings have transformed their shape drastically, the centroid may not overlap and get flagged as a missing building

Minor shape changes don't get flagged

Stats - Total footprints in DoITT dataset: 1,082,433 - No existing OSM footprint at location (PNTCNT=0): 1,223 footprints to add - 1 existing OSM footprint at location (PNTCNT=1): 1,072,975 footprints not changed or with minor geometry changes - 2 existing OSM footprints at location (PNTCNT=2): 1,661 footprints to be merged or updated - More than 2 existing OSM footprints at location (PNTCNT>2): 251 footprints to be merged or updated

View Map | JOSM/iD TMS https://api.mapbox.com/styles/v1/planemad/cilja03bn002bccm7chcpw604/tiles/{z}/{x}/{y}?access_token=pk.eyJ1IjoicGxhbmVtYWQiLCJhIjoiemdYSVVLRSJ9.g3lbg_eN0kztmsfIPxa9MQ

Shape diff of footprints

The above analysis can still miss out on minor shape changes. To find out which buildings were modified since the last import, we tried to compare shape changes using the nycdoitt:bin footprint id as primary reference key.

For each nycdoitt:bin polygon from OSM and NYC:

  • compute the perimeter and area.
  • get the absolute difference between both polygons.

This process confirms the centroid diffs in our test area and can further identify shape changes where, the buildings were not deleted/added but shapes were improved, etc. This is only true if the nycdoitt:bin id has not changed. However, we noticed that the building id from the NYC changes a lot and is not unique to each building. For example, in our test area, we found many duplicate entries (i.e. 1000000 = 106; 2000000 = 1482; 3000000 = 2052; 4000000 = 10119; 5000000 = 2623). Taginfo confirms this thus, using the nycdoitt:bin id is not the best approach to do this comparison.

--

Clearly none of these approaches give a clear picture of how to conflate the two datasets. Our next attempt would be at using a more traditional approach using PostGIS to intersect geometries and compare the differences for a manual review. We're hoping to have a reusable workflow that can be used by open data agencies like NYC DoITT to use updates from OSM and also give back to the map more often.

Would be great to hear about alternate approaches for data conflation and strategies that could be explored in the future. You can look forward to another update on the spatial adventures of Maning and I soon.

Howto to complete HOT-Tasks

Posted by MKnight on 18 April 2016 in English (English)

disclaimer: If you don't understand irony: go away!

  1. Is cloudy in Bing? -> mark as done, comment as cloudy
  2. Bing-Sat is holy Crap there? -> mark as done, comment as: "Bing low res"
  3. Take a Beer and feel good for your hard work today

You are an experienced mapper what validating "done" tasks? Its very simple:

  1. Is cloudy in Bing? -> mark as validated, comment as cloudy
  2. Bing-Sat is holy Crap there? -> mark as validated, comment as: "Bing low res"
  3. Take a Beer and feel good for your hard work today

Remember: If somewhere is an earthquake or an other kind of catastrophe: it never happens under the clouds or on bad imagery. There never live (or die) no people. Sure! Never!

Never time there are other WMS or Imagery ... If Bing has no Images, no peoples died there!

ShittyCrap

Validate this shit, you are murderer. Sure.

Como subir una imagen en googlestreetmaps con zonas de inunbalidad en una Ciudad??

Posted by Thakhi on 18 April 2016 in Spanish (Español)

Hola amigos:

Quisiera saber como puedo subir el mapa de la ciudad de Chañaral por medio de Googlestreetmaps, cuento con las coberturas de hasta seis metros de inundabilidad en caso de un tsunami. Estoy trabajando en QGIS, si alguien me puede orientar a subir esta informacion se lo agradecería de antemano, soy nuevo por aca.

Salu2.

Ricardo Brito Valdés Ing de Minas - Lic en Cs. de la Ingeniería.

Location: Cruce C-439 - Mina Resurgimiento, Copiapó, Provincia de Copiapó, III Región de Atacama, Chile

Cara Mudah Putar MP3 Online di Google

Posted by Andi Update on 18 April 2016 in Indonesian (Bahasa Indonesia)

Perkembangan dunia musik saat ini berkembang pesat jadi tidak heran jika penggemar atau pencinta musik mengoleksi hingga berpuluh-puluh album,bahkan beratus-ratus album. Apalagi ngefans sama band atau vokalis sebuah Lagu, membuat hobi ngoleksi setiap updatetan Lagu.Tapi tidak semua Lagu anda miliki mungkin hanya sebagian. Mungkin kalian memiliki keterbatasan untuk memiliki Lagu tersebut,sehingga kalian tidak memilikinya, banyak faktor sehingga kalian tidak mempunyai Lagu terupdate.Ada yang tidak tau cari dimana, atau masalah penyimpanan yang ngak muat akibat sudah terlalu banyak musik yang anda miliki . Pada kesempatan ini Saya akan berbagi mengenai Cara putar musik MP3 di google..iss pasti banyak yang Belum tau ya, masa sihh digoogle bisa putar musik? bisalah , jadi ya baca postingan ini sangat beruntung dehh. saya sedikit infokan, apasih manfaat putar musik MP3 di google Manfaat putar musik MP3 di google diantaranya: Manfaat pertama yang anda dapatkan ,jika kalian putar musik digoogle adalah play full versi, jadi kalian dapat memutar musik yang full versi di google ,tanpa hanya satu versi saja jadi anda bisa temukan lagu versi dangdut,pop, dll . Manfaat kedua yang anda dapatkan adalah anda dapat menemukan musik terbaru yang terupdate ,melalui Cara yang Saya berikan, jadi musik yang udah kuno sebaiknya anda museumkan hehehe Manfaat ketiga yang anda dapatkan adalah berkurangnya penyimpanan data di memory,kita ketahui bahwasannya musik yang anda simpan dalam memory, memiliki penyimpanan yang cukup tinggi ,apabila memory yang anda miliki adalah kapasitas rendah , itu membuat kalian tidak bisa menyimpan Lagu favorit sebanyak mungkin,jadi trik ini sangat membantu,Sehingga tidak perlu menyimpan kalian sudah dapat memutar Lagu yang anda sukai. Yang pertama yang harus anda lakukan. masuk ke-google seperti gambar dibawah ini. Cara Mudah Putar MP3 Online di Google setelah anda masuk di google seperti gambar diatas,tulis intitle:index.of?mp3( nama lagu yang hendak didengarkan) lebih jelasnya lihat gambar dibawah ini. Cara Mudah Putar MP3 Online di Google seperti contoh saya berikan ,saya hendak mencari lagu justien bieber, maka akan muncul situs-situs penyedia lagu MP3, klik bagian atas, yakni situs media.radiojavani yang sering saya gunakan untuk pemutar MP3

Cara Mudah Putar MP3 Online di Google Setelah masuk kesitus tersebut,kalian tinggal memilih lagu apa yang hendak anda putar, tampilannya seperti ini:

Cara Mudah Putar MP3 Online di Google setelah kalian masuk,maka tampilannya seperti diatas,kumpulan lagu justien bieber yang tinggal anda pilih ,lagu mana yang hendak anda putar, setelah itu ,klik PLAY ,seperti gambar dibawah ini dan selamat mendengarkan.

Cara Mudah Putar MP3 Online di Google

Cara Mudah Putar MP3 Online di Google yang sangat membantu untuk mendengarkan lagu-lagu MP3 terbaru dan terlengkap.semoga artikel ini bermanfaat untuk kalian.

selamat mencoba,salam dahsyat.

Location: Jalan Desa Bontosunggu, Bontosunggu, Galesong Selatan, Sulawesi Selatan, Indonesia

Desenvolvimento de marcações na parte baixa da Bacia Hidrográfica do Rio Jacaraípe

Posted by Patrícia Silva Leal Coelho on 17 April 2016 in Brazilian Portuguese (Português do Brasil)

Mapeamento utilizando OSM, Arc Gis 10.1, e aplicativo GPS Essentials. Trajeto realizado por um grupo de estudantes da Escola Estadual de Ensino Fundamental e Médio Jacaraípe. Preteritamente os estudantes analisaram as àreas, utilizando o catálogo de imagens disponível em www.veracidade.com (hiparc). Durante o trajeto utilizou-se o aplicativo de celular. A área escolhida é um córrego chamado Córrego das Laranjeiras, localizado na Grande Jacaraípe, no município da Serra, no Espírito Santo.

Imgur

Como usar el plugin de Buildings en JOSM

Posted by AngocA on 17 April 2016 in Spanish (Español)

El plugin de buildings en JOSM es muy bueno para labores humanitarias que requieren levantar la ubicación de construcciones en zonas muy grandes.

El plugin se descarga como cualquier otro plugin en Preferencias > plugins > Buscar buildings_tools. El ícono es un edificio es perspectiva. Más información de este plugin en http://wiki.openstreetmap.org/wiki/JOSM/Plugins/BuildingsTools

El objetivo puntual del plugin es hacer un rectángulo para los edificios más rápido y fácilmente. Con la edición de líneas hay que hacer click en cada punta (vértice) de la construcción rectangular. Posteriormente ortogonizarlo (letra Q) para que quede como un paralelogramo y no desproporcionado.

Como esta tarea para muchas construcciones es agotadora, el script permite hacer los rectángulos más rápidos con dos mecanismos:

1) Una vez seleccionada la herramienta, el ícono del edificio a la izquierda, se hace click en un vértice. Se desplaza el mouse, sin mantener el click sostenido, y se hace un segundo click en el vértice adyacente. Hasta aquí se ha trazado una línea. Finalmente, se mueve el mouse al tercer vértice y se va construyendo el área de la construcción rectangular.

2) Se selecciona una línea o área, preferiblemente un edificio existente. Posteriormente, se hace click en un vértice del edificio a mapear. Se desplaza al vértice opuesto, y va construyendo el área. Este mecanismo es muy útil para edificios que tienen la misma inclinación con respecto al norte, o dicho de otra manera son paralelos.

Tips:

  • Se recomienda hacer los dos primeros click sobre el lado más largo de la construcción, de manera que el ancho es más preciso. Si se hace primero el ancho, y después el largo, puede quedar mucho más distorsionado.
  • Cuando se comienza un trazo y se hace mal, se puede oprimir Escape para cancelar alguno de los dos primeros clicks.
  • Para identificar una construcción a partir de una imagen satelital, uno puede basarse en la perspectiva, y la proyección de la sombra del sol. Dependiente de la hora en que fueron tomadas las fotos, y la ubicación en la tierra, se podrá ver una parte negra que es la silueta del edificio proyectada en la sombra.

Este plugin crea un área con la etiqueta building=yes. Sin embargo no indica qué tipo de construcción es. Puede ser casa, edificio, o cualquier cosa. Por lo que es importante conocer a qué hace referencia esta etiqueta http://wiki.openstreetmap.org/wiki/Key:building

Este plugin es muy bueno para tarea humanitarias, pero para trazar detalles de una ciudad no lo recomiendo ya que se omiten los detalles de un mapping party o similares, en donde lo importante no es mapear mucho terreno, sino poco y con alto detalle.

NGA 1:50k topo maps into OSM

Posted by miluethi on 17 April 2016 in English (English)

I'm trying to define a project entering the free data of the NGA topo maps of Central America (only Nicaragua, Honduras, Guatemala & El Salvador) into OSM. Highest priority have water layers and mountains, less important would be names of settlements.

The NGA maps were all published between 1965 and 2003, most of them in the sixties and seventies. A lot of settlements are inaccurate, because they became bigger or even changed their names. Peaks and water entities are more reliable.

My idea is to get some funding and work with local universities and student to enter the data. At the moment, I'm running tests to figure out how much work in hours needs to be done. After serveral checks, I think, we have to calculate about 2 days (15 hours) per 1:50k map for mountains and water bodies.

If anybody would like to be included in this project, contact me at miluethi@rucksackradar.net.

Cheers

Location: CA-6, Las Mesas, Francisco Morazán, Honduras

Fermate SAF Udine/2

Posted by Gabriele Dri on 17 April 2016 in Italian (Italiano)

17/4: aggiunte tutte le fermate della Linea 2: solo localizzazione fermata e nome con formato "lungo". Nessuna altra indicazione quale pensilina/riparo/panchina, nè tag ref=n°fermata.

Нарын

Posted by Syrga on 17 April 2016 in Russian (Русский)

17.04.2016 Сегодня мы в Нарыне, здесь проводится тренинг. Начиная с 17.04.2016 до 23.04.2016 г.

Fermate SAF Udine

Posted by Gabriele Dri on 16 April 2016 in Italian (Italiano)

16/4: aggiunte tutte le fermate della Linea 1: solo localizzazione fermata e nome con formato "lungo". Nessuna altra indicazione quale pensilina/riparo/panchina, nè tag ref=n°fermata.

National Missing Maps mapathon

Posted by escada on 16 April 2016 in English (English)

Today, the geography departments of 7 Belgian universities organised a national missing map mapathon. We had about 190 subscriptions divided over 7 locations in Ghent, Brussels, Namur, Liège and Leuven. The organizers had contacted the press (written, radio and TV). So after hearing about the mapathon on the radio a few more people show up.

The team in Ghent

We were lucky enough to find enough experienced mappers to give introductions and help the people in all locations. I had the honor to do that for the session in Ghent. This was my first time, after just helping out on 2 previous missing map parties.

A chat channel was set up so the organisers could stay in contact and around noon we had Pete Masters tuning via Skype to give some background on the projects.

Video chat with the other teams and Pete Masters

The original plan was to map in Swaziland, but on Thursday Pete asked us whether we could work on South Kivu, because they need a map of this area for teams that leaving on Tuesday for a vaccination program against measles. We were more than willing to switch projects. We started around 10am, and by noon all three tasks were finalized.

In the afternoon we worked on some other projects (among them the original one in Swaziland)

Unfortunately, I cannot give you the final numbers, as I was still helping hope some people that showed up after hearing about the mapathon on the radio. I believe more than 23.000 buildings were mapped during the day. Hopefully someone else will report about this.

We also had a visit from the national TV, and they had a pretty long item in their journal at 1pm. the tv team

You can the see the result here (in Dutch). You can also listen to one of the radio interviews.

I would like to thank everybody (mappers, approvers, the universities and the "tutors") for this wonderful experience. Hope the see you again.

Location: St.-Pieters-Aalst, Gent, Ghent, Gent, East Flanders, Flanders, 9000, Belgium

Australia/New Zealand Maps for Garmin - address search problem

Posted by Saffer on 16 April 2016 in English (English)

Hi there

First time here, and super impressed!

I was trying to bring my Nuvi 2200 to life again, and I found this happy days!

However I am not able to search for an address or town - in the Where To? section of the GPS. This function works well when searching within New Zealand, but not in Australia...So I joined OpenStreetMap with the hopes of being able to repair the problem, but alas I do not know where to start, please can someone help!

Thank you!

A walk to the 'Cockburn Coast' development

Posted by Sam Wilson on 16 April 2016 in English (English)

I went for a walk yesterday, to see what I could see: Trace

I was not stopped by this sentry ('though she was about 100 mm long so I did duck off around the other side of the shrub):

Spider

And carried on to map this lovely bit of path:

Path

A while later I found that Cockburn Road has been temporarily realigned while it's being improved (should at least be a tiny bit safer to cycle along once it's all done).

There are a few new roads being built in this area, so I've added stubs for these on the maps pending someone getting in there with a GPS at some point.

Reinforcement Parade

The rest of my photos are on Flickr (and are geocoded, for easier browsing for later verification of any edits).

Location: North Coogee, Perth, Western Australia, Australia

Findings rivers that you can add to a waterway relation

Posted by rorym on 15 April 2016 in English (English)

Waterway relations

The waterway=river tag is used in OSM on ways that make up a river. Like many things in OSM, an actual river will almost certainly be split up into many individual ways. Luckily there is a waterway relation. You can create one relation for each actual river, and then add all the ways that make up the river into that relation. Data consumers can then easily work with one object for a river and reason about it. (e.g. How long is it? What countries is this river in? What other rivers flow into it?)

Using Overpass to find missing waterway relations

Adding rivers to the relation is easy enough. But how do you know how to find them? Overpass Turbo can be used for that.

This overpass query will show you all the rivers in a bbox which are candidates for a waterway relation:

[out:json][timeout:250];
(
  // all ways that are tagged river, and have a name
  way["waterway"~"(river|stream)"]["name"~"."]({{bbox}});
  -
  // minus all the ways that are in a relation
  ( relation["type"="waterway"]({{bbox}}) ; > );
);
// print results
out body;
>;
out skel qt; 

It find all ways with the waterway=river or waterway=stream tag, that also have a name tag, and it excludes all ways that are already in a type=waterway relation.

Loading into JOSM

When you have run that query in Overpass Turbo, you can export the result to JOSM using the remote control feature of JOSM.

However JOSM has a very useful "Download from Overpass API" feature for loading data direct into JOSM, if you want to avoid your browser having to load and display a massive amount of data. However you must use a slightly different overpass format. Instead of {{bbox}} use bbox. This is the query you need for JOSM:

(
  // all ways that are tagged river, and have a name
  way["waterway"~"river|stream"]["name"~"."](bbox);
  -
  // minus all the ways that are in a relation
  ( relation["type"="waterway"](bbox) ; > );
);
// print results
out meta;
>;
out meta;

Examples

Some examples of waterway relations:

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