Tag: Stats

Routing View EU 2011-01

Overall the following amount of errors appears for “Europe” at the middle of January 2011:

  • Unconnected Roads: ca. 109600
  • Duplicate Ways (number of duplicate segments): ca. 125900
  • (read more about the error-types here)

This means that altogether there are 3000 unconnected streets and 13400 duplicate way segment errors have been fixed (last month we had 112600 unconnected roads and 139000 duplicate ways errors). In total we have an increment of 1139000 (+3.8%) new OSM way segments for routing during the past 4 weeks in Europe!

  • 12/23/2010: 29400000
  • 01/20/2011: 30600000

The following image shows the amount of errors divided by country for today’s Europe OpenStreetMap dataset:

In the past month several other countries were able to reduce the amount of errors, such as in: France (-2900), Portugal (-2900) and Romania (-2200). So I think the award for this month goes to Portugal 🙂 (Is the reduction a result of this action? However, nice work!). But further countries such as Albania, Belgium, Bosnia and Herzegovina, Bulgaria, Germany, Greece, Slovakia and Sweden were able to reduce more than 1000 errors each. Only Spain (+1200) and the United Kingdom (+2000) have a gained more errors!

The following diagram shows the total amount of errors for 1m, 2m, 5m unconnected & duplicate way segments:

As usual for Germany, the comparison of federal states (includes the error type “Unconnected 1m”):

Yay, nearly all federal states could reduce their amount of errors!

thx @ Dennis

Routing View EU 2010-12

Short update with new statistics for the “Routing View EU“. Overall the following amount of errors appears for “Europe” at the middle of December 2010:

  • Unconnected Roads: ca. 112600
  • Duplicate Ways (number of duplicate segments): ca. 139000
  • read more about the error-types here

This means that altogether there are 5100 new unconnected streets and 20000 duplicate way segment errors have been fixed (last month we had 107500 unconnected roads and 160000 duplicate way errors). In total we have an increment of 1300000 (+4.6%) new OSM way segments for routing in the past 5 weeks in “Europe” (this is nearly twice the number in comparison to one month ago)!

The following image shows the amount of errors divided by country for today’s Europe dataset:

In the past month several other countries were able to reduce the amount of errors, such as in: Austria (-3200), France (-4400), Italy (-2100), Portugal (-1200), Sweden (-2000), Switzerland (-4828 !!) and the United Kingdom (-3700). So I think the award for this month goes to Switzerland 🙂 . Germany keeps going on with its negative trend: A gain of about 2700 errors! It seems like the German OSM community is primarly tracing from Bing-imagerys, doesn®t it?

In the following diagram the bars for each country shows the total amount of errors for 1m, 2m, 5m unconnected & duplicate way segments:

As usual for Germany, the comparison of federal states (includes the error type “Unconnected 1m”):

(Nearly all federal states have a positive value regarding the amount of errors, except Rheinland-Pfalz, Sachsen, Schleswig-Holstein & Hamburg)

This was my last blog post for this year, so Merry Christmas and a Happy New Year 2011!
Bye for now …

Routing View EU 2010-11

And again, here are the new statistics for the “Routing View EU“.

Overall (according to the Geofabrik extract) the following amount of errors appear for Europe at the middle of November 2010:

  • Unconnected Roads: ca. 107500
  • Duplicate Ways (number of duplicate segments): ca. 160000

Unfortunately this means that overall only 500 unconnected streets and 22000 duplicate way segment errors have been fixed (last month we had 108000 unconnected roads and 180000 duplicate way segments errors). As always, the following image shows the amount of errors divided by country:

Wow Italy! It’s really nice to see what’s happening there! During the past month they fixed more than 9000 errors again. And now they are really catching up with Germany 🙂 But also in several other countries some people were able to reduce the amount of errors too, such as in: Albania, Denmark, Greece, Iceland, Norway or Sweden. More than 1000 errors have been fixed here in each country 🙂

Slightly disturbing is the situation in Germany: A gain of more than 3.000 errors! What’s going on?! 🙁

The comparison for each month and country can be seen in the following diagram. (The bars shows the total amount of errors for 1m, 2m, 5m unconnected & duplicate way segments):

As usual, the comparison of federal states of entire Germany that included the error type “Unconnected 1m”:

Overall, nearly all federal states have a positive value regarding the amount of errors 🙁 Not quite good, especially considering the numbers of the past few months. So tell me
what’s going on in Germany? Are you not interested in fixing errors in the map or database?? What do you think is the problem?

thx @ dennis and Good Luck to you for Thursday!

Contribution in percentage

Some time ago I saw a diagram on the OpenStreetMaps statistics pages which showed the contribution of OSM Data by contributor in percent (here). This diagram was created last year (2009).

I tried to repeat this interesting analysis with the latest OSM data to see if there have been any significant changes. The following diagrams show the results of this analysis using the mid-august OSM data. The last modifier of an object is being considered as owner. (I think it has been handled the same way in the diagram of 2009?)

Contribution of Nodes

Contribution of Ways

Contribution of Relations

The results are more or less identical to the ones from last year. 98% of the OSM data are distributed on almost 10000 contributors in 2009 and 12000 contributors in 2010.

Based on my “How did you contribute to OpenStreetMap ?” and the used full planet dump (08/01/2010) I tried to create the same diagrams but based on the contributor who created the objects (version=”1”). The results are as followed:

Contribution of Nodes

Contribution of Ways

Contribution of Relations

I personally expected that the diagrams would change based on the questions “Who created the object?” and “Who worked on the object the last?”, but one needs to take a very close look to determine the differences within the stats. This means that more or less just about 12000 members have been working on the DB and contributed most of the data … what do you think?

thx @ dennis

How did you contribute to OpenStreetMap ? -Update-

Since last week there is a website available, which is able to display how you contributed to the OpenStreetMap (OSM) project: http://hdyc.neis-one.org

Today, I made some small updates. The picture below shows the changes in the website. First (1) I imported the new planet data (Planet Dump 09/15/2010) that shows you on which OSM objects you are the most recent modifier. *NEW* is that the timestamp of your first contribution to OSM is displayed (see (2)!), further a link to your first OSM Node is attached (3).

How did you contribute to OpenStreetMap ?

How did you contribute to OpenStreetMap ?

So: “How did you contribute to OpenStreetMap?” Use your UserLink and share it with other OSM members (3) … 🙂

„Nominal Members“ of OSM?

There has been an exciting question on the German OSM mailing list yesterday (here). To clarify this question a little to the readers of this blog, the OSM member basically asked if anybody knows how many users ever really worked on a single note in OSM at all, and how many so called “nominal members” (members that never touched any node in OSM) can be found in OSM?

It sounded interesting to me, so I started working on a way to figure out the numbers. My results showed that the entire OSM planet file (dated 08/18/2010) has about 735 million nodes that have been provided by about 93.000 OSM members. 60 million ways were mapped by 68.000 members and about 10.000 members were involved with the creation of almost 690.000 relations. The history of the objects could not be considered during the analysis! In total there were about 98.000 members that contributed to the OSM database.

However, these numbers still show an interesting result considering the actual amount of 290.000 registered OSM members. So the question remains if there are a lot of members in OSM who are still standing in the waiting line and will start with their first edits pretty soon?

To see what the numbers looked like one year ago, I changed the tool that I created one more time and repeated the analysis with the planet file of 08/19/2009. I received the following results: At the given time there were about 412 million nodes provided by 49.000 members in the database. 32 million ways were mapped by 41.000 members and about 6.000 members were involved with the creation of almost 180.000 relations.

This means that one year ago all OSM data has been provided by 51.000 members although there were about 145.000 members registered. Thus, in the year 2009 about 35% of registered members did at least one edit on the OSM database. This number does not really change with the latest OSM dataset, with 290.000 registered members and about 98.000 members with at least one edit which represent about 34%!

To give a better overview, here are even more numbers for the year 2008: 253 million nodes provided by 15.000 members. 20 million ways mapped by almost 14.000 members and about 16.000 relations created by 1.600 members. In total there were about 16.000 members that contributed to the OSM database, while there were about 55.000 members registered. Thus, the percentage of active registered members lies around 29%.

In general the remaining question is: What happened to the other 65% that registered for the project but did not contribute to it? Is it too hard or too complicated to contribute to the project? Did those members just collect data for a short period of time? Is that why they do not show up in the analysis shown above?

thx @ Dennis for helping me with the translation!

Stats OSM Routing View 2010-07

FĂŒr die vergangenen fĂŒnf Wochen habe ich heute wieder neue Statistiken fĂŒr den Routing View Deutschland (hier) erstellen lassen. Spitzenreiter im beseitigen möglicher Fehler in der 1m-Klasse ist wie letzen Monat wieder mal das Bundesland Nordrhein-Westfalen (y)

Insgesamt sind inzwischen die HĂ€lfte aller BundeslĂ€nder in der 1m-Klasse, wie im Diagramm zu sehen, unter 100 “Fehler”. Drei BundeslĂ€nder heben sich momentan aufgrund ihrer hohen Anzahl noch etwas von den anderen ab: Niedersachen, Bayern und Hessen.

Die Gesamtanzahl der Fehler (nichtverbundene & doppelte Straßen) liegt im jetzigen Monat fĂŒr Deutschland bei ca. 15.000. Was wiederum einer Verminderung innerhalb des letzten Monats von ca. 10.000 “Problemen” entsprechen wĂŒrde (im Juni waren es insgesamt 25.000) 🙂

Was sehr schön zu sehen ist das die Anzahl der Fehler von doppelten Wegen innerhalb der letzten Zeit sehr stark abgenommen hat. Derzeit verbleiben in Deutschland “nur” noch ca. 2.000 Probleme mit doppelten Wegen …

Auf welche Klassen verteilen sich insgesamt die “Fehler” des Routing Views Deutschland (Juli 2010)?

  • Gesamtanzahl 1m nicht verbunden: 2.700
  • Gesamtanzahl 2m nicht verbunden: 1.500
  • Gesamtanzahl 5m nicht verbunden: 8.600
  • Gesamtanzahl doppelte Ways: 2.000

OSM-“User”-WorldmapS

In the last post “current” OSM user activities per day, week and month were shown. The table providing the information of Users per Country was limited to the “TOP 16” and just a short timeframe. The following world map shows the amount of users per country for one month i.e. 10.05-10.06.2010

However, since this first map just gives some general information about the total amount of users per country and does not consider the population in each country, we made a second map that shows the relation between active users and the population in each country. To develop this map a so called “OSM-User-Ratio” has been created which includes the amount of OSM users per 1 million citizens for each country.

Next to the amount of users also the total amount of new nodes for each country were analyzed and can be seen in the following world map. The total amount of notes does not consider modified or deleted nodes.

So called “Bots” which are able to do certain automatic tagging-changing-actions have not been considered in the world map including the total amount of new nodes. Future analysis should consider these automatically created changes to show the differences between the maps including the nodes with and without the use of bots. Furthermore it would be interesting to see how many nodes in average are being created by one user a day, a week or a month 
 further suggestions or ideas?

thx @ dennis z. for the maps!

Wo erfolgen die meisten Edits in OSM?

Angeregt durch den vorletzten Post ĂŒber die „zunehmende“ Anzahl der Fehler in OpenStreetMap DE stellte sich mir die Frage: In welchem Bundesland wird derzeit am meisten an der Map gearbeitet? Aus den daily-Planet-Changefiles fĂŒr den Zeitraum vom 3.6. bis zum 10.06.2010 (1 Woche) habe ich mal die mittlere Anzahl der Node Edits pro Tag fĂŒr jedes Bundesland in Deutschland ausgewertet (Edits an Ways sind in diesen Diagrammen (noch) nicht enthalten).

Im Diagramm fallen die drei „großen“ BundeslĂ€nder auf. Nordrhein-Westfahlen ist ebenfalls wieder im vorderen Feld der Statistik dabei. Diesmal aber im positiven Sinne 😉 . Bei der Statistik zum Routing View Analyse war es genau andersherum, dort war es das Bundsland mit den meisten Fehlern im Landesvergleich, (vgl. Statistik). Also somit ist NRW das wohl derzeit aktivste Bundesland in OSM DE, aber auch das mit den meisten Fehlern?!

In den Mailinglisten oder auch in den Foren liest man immer wieder eine etwas unterschiedliche Zahle wie groß denn die Beteiligung der deutschen Mapper an der OSM Karte ist. Im folgenden Diagramm sind die Anzahlen der Mapper pro Bundesland fĂŒr DE fĂŒr den oben angegeben Zeitraum, die dort einen oder mehrere Edits ausgefĂŒhrt haben, zu sehen.

Werden die weltweiten OSM Mapper gezĂ€hlt, so kommt man beim oben genannten Zeitraum von einer Woche auf eine tĂ€gliche Durchschnittszahl von ca. 1.710 die jeweils eine oder mehrere Edits an der Map vollbringen. Bei einem Mittelwert in DE von ca. 580 “Mappern” (Usern die in Deutschland an der Map gearbeitet haben) wĂ€ren dies ca. 34% ! Dies wĂŒrde bedeuten, dass derzeit ca. 1/3 der weltweiten OSM-Mapper in Deutschland an der Karte arbeiten. Gut fĂŒr Deutschland, „schlecht“ fĂŒr die restliche weltweite OSM Karte?

Eine Xls-Tabelle mit den Node Changes pro Tag fĂŒr Deutschland kann hier heruntergeladen werden.

Neue Stats zum OSM DE Routing View!

Habe heute wieder neue Statistiken zum OSM Routing View erstellen lassen. Schön zu sehen das Insgesamt die Fehleranzahl bei den nicht verbundenen Straßen (1m) zurĂŒck geht.

Etwas bedenklich ist allerdings die Entwicklung in Hessen. Dort hat sich die Fehleranzahl von ca. 400 auf quasi ĂŒber 800 verdoppelt. Mit dem Saarland ist auch das erste Bundesland fĂŒr den dargestellten Fehlertyp auf 0, GlĂŒckwunsch 🙂 ! Spitzenreiter im beseitigen der Fehler sind fĂŒr den letzten Zeitraum die LĂ€nder NRW & RLP. Beide konnten um die 400 Fehler beheben …

Die Analyse lĂ€uft jetzt etwas weniger als vier Monate und die Gesamtanzahl der Fehler (nicht verbundene Straßen & doppelte Wege) konnte von ĂŒber 50.000 auf ca. die HĂ€lfte (25.900) verringert werden!