Tag: maps

Your Explored OSM World

Gregory Marler had the great idea to implement an “explored” map, based on a concept that some of you might know as “fog of war” from strategy video games. So here you go: I extended my OSM Heat Map with the “Explored Map Style”. It essentially reveals the contribution areas of an OpenStreetMap member in a “fog of war” style. The following figure shows Gregory’s amazing “explored” OSM map.

ExploredMapStyleToner

The Heat & Explored Maps are available for almost all OSM members who contributed at least several changesets here: http://yosmhm.neis-one.org (The new “Explored Map Style” can be selected in the layer panel (upper right corner). Additionally, I added the awesome looking and well known Watercolor and Toner map styles from Stamen design)

Thanks to maɪˈæmɪ Dennis

The OpenStreetMap Contributors Map aka Who’s around me?

The wait is over! As I mentioned in December, I have been working on an interactive online map, which shows you all volunteers of the OpenStreetMap world on a map. The first three layers contain the activity center of a contributor, her or his first created and latest modified node. The algorithm to determine the activity area of an OSM volunteer has been described in my publication here. I should mention that I used all changeset centers instead of all created nodes of a contributor. This way the computations don’t take as long and the process can be repeated every week based on the weekly OSM changeset dump.

The above image shows the created map for the center of London. As you can see, there are several Mapper-Types to choose from on the left side. Each mapper type is distinguished by the number of changesets that were created (shown in parentheses). However, most of the time you will see many orange or red figures on the map , which means that the OSM project has a lot of members who only made a few changes. This “issue” or “phenomenon” has also been mentioned in the publication.

Below the map you can find additional information which shows the current number of mappers in your map’s bbox. Sometimes the number is a little bit larger than the real number of contributors in your area. This depends on the method that Openlayers uses to load the mappers from my server onto the map. For the next update, I maybe plan to add the dates of the latest contribution of a member. This way you can get current information about the number of (active) contributors for your area.

The data will be updated on a daily and weekly base. It is also important to mention that each layer has a limit of 1.000 contributors to show on the map. Thus, if you zoom out, you will always see contributors, but sometimes the real number is much higher than the number of mapper icons you see on the map.

Last but not least some stats: Today (Jan 6th, 2012) the OpenStreetMap project has  reached 1 000 000 registered members. Around 300 000 (30%) of all contributors created at least one changeset and about 200 000 (20%) volunteers created at least one Node.  Of the 300 000 contributors who created at least one changeset, around 240 000 created less than 10 changesets, 45 000 (4.5%) between 10 and 100 changesets and 17 000 more than 100 changesets. I think this amount of 17 000 mappers or 1.7% of all registered members is obviously the amount of active OSM members. This is also comparable with the official OSM “highly active users” stats from here.

The map is online here:
Overview of OpenStreetMap Contributors aka Who’s around me?

¡Muchas gracias maɪˈæmɪ Dennis!

Distribution of Active Users in OpenStreetMap – Oct-Nov 2012

Two years ago, we created some maps which showed you the number of users per country for a timeframe of one month. Maybe some of you remember that the highest concentration of active contributors in relation to the countries’ population could be found in Europe. We thought it was about time to make some new maps to see if things have changed. The following map shows you the number of active contributors per day per country.

Similar to our results two years ago, the above map only gives some general information about the total number of users per country and does not consider the population for each country. Therefore we created a second map which shows you the relation between active users and the population in each country per day.

Overall the maps show a slightly similar activity pattern of the OSM users as in our previous results two years ago. The major concentration of the project still lies in Europe expanding more and more to the east. However, you can see certain changes in other areas of the world too. First improvements have been made in Africa, South America and South-East Asia. Greenland of course is looking quite exceptional due to the low population value.

So, what do you think? Where are you located and how would you describe the mapping activity development in your country?

***Update: Nov. 20th, 2012***

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.

The following image shows the plugin in more detail, including the “like” and “dislike” buttons to provide feedback about the area on the map.

An additional feature of the plugin shows how many users have been viewing the same area of the map that the current user is taking a look at. More precisely: How many other users have been viewing a similar area of the map within the past two minutes with a zoom level of +-3 to yours. All components of the plugin are Open Source and available on github. The database which saves the likes and dislikes is running on a German OSM Dev server. A database dump file can be downloaded on a daily basis. It is important to note at this point that no private data is saved in the database when a user leaves his or her feedback. The plugin only saves an independent, randomly generated user ID, the feedback type i.e. thumbs up/down, the zoom level, the layer name and the bounding box of the map section. A map view is generally not saved to the database until the user accepts to do so via a pop up window.

Do you like this feature?
It is quite easy to integrate it into your own webpage. Here is how it works:
1. Add the following line below your OpenLayers script-tag:
<script src=”http://ilike.openstreetmap.de/ILikeOSM.min.js” type=”text/javascript”></script>
2. Then add the following lines to your OpenLayers Controls:
new OpenLayers.ILikeOSM()
3. Styling
<style type="text/css">
div.olILikeOSM { position: absolute; top: 15px; left: 50px; padding: 7px; color:white; border-radius: 10px; background: rgba(0, 0, 0, 0.6); }
div.olILikeOSM a { color: white; font-size:12px; text-decoration: underline; }
</style>
4. That’s it!

What is the benefit of this plugin or of the saved ILikeOSM data?
Based on the saved likes, dislikes and map views we can generate some statistics to provide you with information about the number of people who like or dislike your particular area of interest. Maybe we can even see some prove of Linu’s law “given enough eyeballs, all bugs are shallow”; meaning in this case, that a larger number of users that check a certain region of the map, results in “better” OSM data quality. As a first prototype, I generated a static webpage which shows an example result map.

Further ideas?
The plugin could potentially be expanded with an additional textbox in which a user could leave a comment why the area is not well represented in OSM. This information could then be saved e.g. in OpenStreetBugs. Anyway, we think that the current version of the plugin could provide some very useful information. You will find a webpage with all information, examples and downloads here: http://ilike.openstreetmap.de As a first step we integrated the plugin into the OpenStreetMap Germany webpage.

Frederik will give a short talk about the ILikeOSM plugin at the upcoming State of the Map 2012 in Tokyo. If our proposed session abstract about another topic for the State of the Map 2012 US gets accepted, Dennis will try to present it there too.

Thank you very much for your feedback: Frederik, Jonas, Dennis, Sven & Marc

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!