At State of the Map US a few weeks ago in Minneapolis, Minnesota, Seth and I presented a session titled:
PostCards from the Edge: A Tour of OSM Data Analyses + Visualizations
The recording and description of the presentation is available here.
Our goal was to curate a collection of OSM data visualizations from over the years that tell the story of OSM’s evolution, both as a map and a community, as well as highlight a few innovative data visualizations that show new ways to interact with OSM data to learn more about an area of the map.
We produced this spreadsheet (same as the table below) with links and author information for each of the visualizations that we showed and discussed in the talk. Since many of them are interactive, we chose to link to the original source:
|2 weeks of bicycle courier data in London||Tom Carden / eCourier||2005|
|OSM Node Density||Martin Raifer||2013-present|
|Man-made vs. Natural feature density||Jennings Anderson||2016|
|Object Density||Jennings Anderson||2019|
|Non-diverse Mapping Density||Jennings Anderson||2019|
|Haiti Earthquake Response||Mikel Maron||2010|
|Edits with HOT||Jennings Anderson||2019|
|HOT Project Activity Timeline||Martin Dittus||2015|
|The life cycle of contributors in collaborative online communities—The case of OpenStreetMap||Daniel Bégin et al.||2018|
|Timespan of OSM Contributor Engagement||Jennings Anderson||2019|
|Cartographers of North Korea||Wonyoung So||2019|
|Pipelines||Tim Meko, Washington Post||2016|
|City Street Network Orientations||Geoff Boeing||2018|
|OpenStreetMap past(s), OpenStreetMap future(s)||Alan McConchie||2016|
|Optimal Routes by Car from the Geographic Center of the Contiguous United States to all Counties||Topi Tjukanov||2017|
A few of the visualizations were from my OSM research work, so I’m compiling them here:
Man Made & Natural Features in OSM
Made with tile-reduce & datamaps, this rendering of OSM data shows
natural features (such as ways tagged as
natural=coastline) in blue and all other features in orange. Do you know what those large orange rectangles in the Barents and Kara Seas are? View them on OSM.
Object Densities at Zoom level 12
Also made with tile-reduce, this visualization shows the density of objects in OSM as calculated by the number of objects in each zoom-level 12 osm-qa-tile.* At first glance, this figure shows there are few parts of the map that have no data. This is misleading, however. This is really a diverging color scheme where areas that appear blue or purple are unmapped. There are 0-100 objects representing areas of more than 60 square kilometers. In reality, these purple dots are showing us where we know something is there (such as the name of a town, a road, a river, etc.), but it has yet to be more completely mapped.
*Zoom level 12 tiles represent the area of about a small city. Their area decreases at higher latitudes, so normalizing against this would absolve cartographic sin. However, having done this and seen little affect to the message being conveyed here, I present the raw, non-normalized numbers.
Object Densities Broken Down by Contributor Count
Less than 10 mappers since 2018
More than 10 mappers since 2018
These two visualizations show the same density counts as the previous map, but exclusively show only tiles where more than or less than 10 mappers have been active since 2018-01-01. For many parts of the world, these appear to be a population density map (as many maps do). The takeaway here, however, is that while there may not be a lot of contributors active everywhere, there are at least a few contributors active most everywhere.
These charts are recreations of a chart first presented in Bégin et al. 2018. These charts are all derived from data obtained by querying the history of all OSM changesets (just under 70M) on the OSM public dataset on Amazon AWS with Amazon Athena.
Both axes represent time and each dot represents 1 user. Users that fall along the x=y diagonal are on-time contributors: Meaning their first edit and their last edit are on the same day. The vertical lines that begin to appear represent times when many users made their first edit (x-axis), and then some users continued to contribute for days, weeks, months, and years, creating the line.
Users along the top are still active, meaning their most-recent edit in OSM was near the time when we downloaded the data. The thick line across top means that there are many users who frequently edit the map, regardless of when they made their first edit.
Contributors with at least 1 changeset with the text
Contributors whose first edit was in 2015.
The impact of HOT editing on the growth of OSM
This figure shows the number of changes to the map per day, as calculated from all of the changesets in OSM. The area between the blue and orange lines represents edits in changesets that include the term “hotosm” in the comment.