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Raising the bar: Improved labeling for web maps

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#1
Kartograph

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Hi guys, long time* no post!

 

 

I wanted to share with you some labelling & styling improvements we made at our department, using OSM as example. Please check it out and tell us what you think. Suggestions for improvement are very welcome. The main work was done by Maxim, so if you have praise, he'll appreciate. There's also an experimental hillshading layer for the curious.

 

 

http://openmapsurfer...ers=B000000FFFF

the layer you want ot look at is OSM Roads (new)

 

also check out a comparison with MapCompare

http://mc.bbbike.org...i&mt3=osm-roads

 

 

 

 

*I only recently remebered the fine times I had on this forum back then. I think this is still the best place to discuss cartographic design on the web.



#2
Hans van der Maarel

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Looks great! Definitely a big improvement over the standard OSM style and the text placement makes the overall map a lot more readable.

 

And welcome back ;)


Hans van der Maarel - Cartotalk Editor
Red Geographics
Email: hans@redgeographics.com / Twitter: @redgeographics

#3
Kartograph

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Hi good to see you!

 

Did I mention the labelling is 100% automated?

 

 

Looks great! Definitely a big improvement over the standard OSM style and the text placement makes the overall map a lot more readable.

 

And welcome back ;)



#4
rudy

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So, what's your secret? Do tell!



#5
Kartograph

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So, what's your secret? Do tell!

We can't spill all the beans yet, the papers are still under review ;-).

 

Some more info here:

http://k1z.blog.uni-...-osm-based-map/

 

The gist of it is:

- we modelled way more cartographic requirements than comparable state-of-the-art approaches do (AFA we K ofc, we did look far and wide, though)

- especially disambiguation between potentially ambiguous labels and figure-ground relations (we keep clear of obfuscating roads and especially road junctions for example)

- we researched, modelled and provide parametrisation for those requirements, though parameters of course can be adjusted for special needs

 

Some of the currently "secret" ingredients are about how to (asmyptotically as well as practically) efficiently calculate the measures so they can be optimised and lead to the results we wanted in a realistic timeframe. We will definitely share that further down the line.
 

Glad some people like it! Will forward that to colleagues.

 

Any further design input appreciated!



#6
Kartograph

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The first paper is available now online:

 

http://utpjournals.m...476e054fd0&pi=4

 

A preprint can be found through research gate.






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