Tag: Analysis

A précis: Where are the US mappers at?

This blog post is a summary of Dennis’ and my State of the Map (SotM) United States presentation. Maybe some of you already know about our publication: “Comparison of Volunteered Geographic Information Data Contributions and Community Development for Selected World Regions”. From the abstract: “Our findings showed significantly different results in data collection efforts and local OSM community sizes. European cities provide quantitatively larger amounts of geodata and number of contributors in OSM …”. “Furthermore, the results showed significant data contributions by members whose main territory of interest lies more than one thousand kilometers from the tested areas.” Especially the last finding is quite interesting when considering “arm-chair-mapping” in OSM.

However, for our SotM US session we repeated some of the conducted analyses for 50 urban areas in the United States to see whether similar patterns could be determined. You can find the session abstract here; additionally the ppt slides and also a video are online. The following animation shows the number of contributor’s evolution in the US from 2007 to 2014.

It’s about time – OpenStreetMap Contributor Activity Report 2013

One and a half years ago (end of 2011), one of my open access publications (“Analyzing the Contributor Activity of a Volunteered Geographic Information Project — The Case of OpenStreetMap“) was published. It contained several interesting findings about the contributions made by the community of the OSM project. The results showed that the community follows a particular pattern that many other online community based projects tend to struggle with too. Only a small number of the members really contribute in a meaningful way to the project. Additionally, the publication illustrated how many contributors are located in Europe and other areas of the world and how and where mappers contribute data over a certain period time.

The State of the Map. United States. Street Network. 2013

Last year we wrote a journal paper in which we analyzed the OpenStreetMap (OSM) dataset of the United States which was published on May 28th, 2013 in the Transactions in GIS Journal. You can download a free pre-print version here. This paper has been published just on time to add to the discussion at the upcoming State of the Map United States conference which will take place in San Francisco and includes some presentations about data imports to OSM. Unfortunately, Dennis and I cannot attend the conference this year, so we decided to write a blog post with some additional and up-to-date numbers.

I Like OpenStreetMap (OpenLayers Plugin)

A few months ago, Frederik Ramm posted an idea on the German OpenStreetMap mailing list about a new (stochastic) approach to OSM data quality assurance. You can find his original German post here. His idea was to create a way to allow users to “like” or “dislike” a specific region on the OSM map, a function that other popular websites such as YouTube or Facebook implemented to allow users to provide feedback to videos or status updates. For OSM this particular function could give some indicators or trends about the OSM map data.

I really liked his idea and in collaboration with Frederik I created an Open Source OpenLayers plugin. For all new readers: OpenLayers is an Open Source library which can implement a dynamic (OSM) map into more or less any webpage. One of our goals was to make the integration of the ILikeOSM plugin as easy as adding a tile server to your OpenLayers map.

Where are the new OpenStreetMap Contributors?

Since past Friday the OpenStreetMap project has more than 600 000 registered members. As many of you may know, not every new registered member starts contributing to the project right away. Based on my “How did you contribute to OSM?” database I created a small (but neat) webpage which shows where the newest registered OpenStreetMap (OSM) members made one of their first edits. The following image shows a screenshot of the new webpage:

The visualized data will be updated on a daily basis. At the moment there are two layers available: one layer displays the latest members of the past two days, while the other layer does the same for the past seven days. At lower zoom-levels the icons are clustered and only show the number of new members. However, on higher zoom-levels you can click on the individual icons to get further information about the new project member. Thanks to Stamen for their really nice looking watercolor map. Would you like to see more statistics about the number of new contributors for each individual country?

Which country has the most OpenStreetMap GPS Points?

Some of you might already know that OpenStreetMap released a first bulk GPS point dataset last weekend. It contains almost 2.8 milliard (or for readers in the US 2.8 billion) points and is provided in its raw format, which means that only coordinate information is available for each point. Unfortunately it does not include any additional information or metadata. You can read more about it at the OSM Foundation Blog.

The first idea that came to my mind was a simple comparison analysis to answer the following questions: Where are all those points located and which country has the most GPS points? In a first try I conducted some results that showed that all points are distributed over 238 countries. For my analysis I used the OSM Mapnik world boundaries from the wiki. As you can see in the following pie chart, nearly 21% of the points are located in Russia (about 570 million points) and another 18% in Germany (about 500 million points). Does Russia have so many GPS points because of the country size or is the community just exceptionally active with GPS devices? However, the strange thing is that Germany is, with about 18%, “only” on the second place this time, weird isn’t it? 😉

OpenStreetMap in Germany (2007-2011)

Due to some requests by some German OpenStreetMap contributors, here a German blogpost about the results of the article: “The Street Network Evolution of Crowdsourced Maps: OpenStreetMap in Germany 2007–2011.” By Pascal Neis, Dennis Zielstra & Alexander Zipf. 2012. Future Internet 4, no. 1: 1-21. (doi:10.3390/fi4010001) Link: http://www.mdpi.com/1999-5903/4/1/1/

Bemerkung: Im Folgenden sind ausgewählte Ergebnisse und Diagramme aus dem englischen Artikel dargestellt/zusammengefasst. Bei weiterem Interesse bitte das Original Journal Paper lesen. Es beinhaltet bei weitem mehr Informationen und Abbildungen!

Das OpenStreetMap (OSM) Projekt ist das bekannteste Projekt im Bereich Volunteered Geographic Information (VGI). Weltweit beteiligen sich mehrere hundert tausend Mitglieder um Informationen für eine „freie“ Geodatenbank zu sammeln. Der Zuwachs der Daten ist weltweit recht heterogen, Deutschland zählt aber global zu eine der aktivsten Länder und die Anzahl der Projektbeteiligten steigt von Jahr zu Jahr. Aktuell (Juni 2011) haben insgesamt mehr als 40000 unterschiedliche Mitglieder zum Deutschland Datensatz beigetragen. Wie in der folgenden Abbildung zu sehen, haben unterschiedliche Mengen von Mitgliedern, die drei OSM Objektarten (Node, Way & Relation) in Deutschland erzeugt. Eine weitere wichtige Information ist in der Abbildung ebenfalls zu sehen: 98% der Punkte wurden von ca. 8500 Mitgliedern, 98% der Linien von ca. 7500 und 98% der Relations auf ca. 2600 Mitglieder generiert (wenn man den letzten Eigentümer als Ersteller bewertet).

Updated Status for Unmapped Places

The last unmapped places analysis for OpenStreetMap that I conducted is nearly eight months ago. So I figured it was about time to create a new one. You can read in the last blog post how my algorithm exactly works.

However, at the moment (Nov. 4th. 2011) we have (according to the Geofabrik extract) about 597 000 entries in OSM for places that are located within “Europe“. This means we have an overall increase of about 90 000 places within the past eight months. We can separate them into several types with different values:

  • City: 1093 (as of March 11th, 2011 it was 1055 ; +3.6%)
  • Town: 16213 (as of March 11th, 2011 it was 16106 ; +0.7%)
  • Suburb: 29642 (as of March 11th, 2011 it was 24913 ; +19.0%)
  • Village: 301638 (as of March 11th, 2011 it was 278691 ; +8.2%)

Comparison of (OSM) routing-engines – Reloaded

Maybe some of you remember that I conducted a comparison analysis between three OpenStreetMap (OSM) routing engine APIs (CloudMade, MapQuest Open and OSRM) and G**gle Maps API last week. You can find the results in my blog post here. As I mentioned in the article, I wanted to try to do a second analysis with more routing engines.

Thus, I added Bing Maps and two OSM engines (YourNavigation/YOURS and Routino/Roadeeno) to the comparison. All services have a continental coverage with the exception of OSRM. The following table shows an overview of (1) the request-response time of the service, (2) the calculated distance for the test-route and (3) the file size of the service response:

As you can see in the following diagram does the OSM routing engine (OSRM) give the fastest results. A little bit strange is that the Routino/Roadeeno service returns no valid route responses for requests which are longer than 600 km.

Routing View Europe 2011-05

First of all, sorry that I did not create a new stat regarding the Routing View past month. To all the new readers: Usually I create an analysis about the Routing View of the OpenStreetMap Inspector for each month for Europe. You can find more information about the OSM Inspector (OSMI) here. The Routing View within the OSMI “shows problems in the data related to routing and navigation”. You can read more about it here … A direkt link to the OSMI Routing View is here!

However, here are the new stats for May, 2011: we have a total of about 124000 “Unconnected Roads” and about 108000 “Duplicate Ways” (number of duplicate segments). Overall this means that we have about 17000 *new* „Unconnected Roads” errors and only ca. 1300 “Duplicate Ways” have been fixed in Europe. For the past three months we have an increment of about 2850000 new OSM way segments for routing. (May 7th: 34500000, February 20th: 31700000, January 20th: 30600000)