I took a look at a bunch of cities around Europe, North America and some of Asia. I convert the OSM data into a compressed vector form that scales pretty linearly with node density, way density and POI metadata. For these cities, I try to fit as much city as I can into less than 20MB. I use Lambert Conic projection to try to reduce the latitude spread effect. Short answer, less data means larger area of city. Paris has the highest density in the world (I fit 16 4km x 4km tiles in 20MB), Boston has the highest density in North America (49 tiles).

You might be able to do the same just looking at the size of the PNG tiles at a certain zoom, but PNG tiles will grow in proportion to the number of edges in the scene and some ways (like dotted paths and rail) would give a disproportionate density.

YVR Vancouver: 1124
http://www.openstreetmap.org/index.html?minlat=49.0000&maxlat=50.1920&minlon=-123.3170&maxlon=-121.9600&layers=B000FTFT&box=yes
SEA Seattle: 495
http://www.openstreetmap.org/index.html?minlat=47.0810&maxlat=48.0000&minlon=-122.7700&maxlon=-122.0000&layers=B000FTFT&box=yes
SFO San Francisco: 297
http://www.openstreetmap.org/index.html?minlat=37.3790&maxlat=38.0890&minlon=-122.6620&maxlon=-122.0090&layers=B000FTFT&box=yes
LAX Los Angeles: 325
http://www.openstreetmap.org/index.html?minlat=33.6000&maxlat=34.3000&minlon=-118.5500&maxlon=-117.7900&layers=B000FTFT&box=yes
PDX Portland, Or: 768
http://www.openstreetmap.org/index.html?minlat=44.8000&maxlat=45.8830&minlon=-123.3850&maxlon=-122.3140&layers=B000FTFT&box=yes
SAN San Diego: 470
http://www.openstreetmap.org/index.html?minlat=32.3570&maxlat=33.3360&minlon=-117.4650&maxlon=-116.6560&layers=B000FTFT&box=yes
YYZ Toronto: 309
http://www.openstreetmap.org/index.html?minlat=43.4250&maxlat=43.9200&minlon=-79.8500&maxlon=-78.9440&layers=B000FTFT&box=yes
YUL Montreal: 1330
http://www.openstreetmap.org/index.html?minlat=45.1230&maxlat=46.1000&minlon=-74.8140&maxlon=-72.7270&layers=B000FTFT&box=yes
NYC New York: 213
http://www.openstreetmap.org/index.html?minlat=40.4660&maxlat=41.0230&minlon=-74.3000&maxlon=-73.7400&layers=B000FTFT&box=yes
ORD Chicago: 423
http://www.openstreetmap.org/index.html?minlat=41.4640&maxlat=42.2800&minlon=-88.1500&maxlon=-87.3630&layers=B000FTFT&box=yes
DTW Detroit: 345
http://www.openstreetmap.org/index.html?minlat=42.0860&maxlat=42.7750&minlon=-83.5870&maxlon=-82.8120&layers=B000FTFT&box=yes
STL St. Louis: 900
http://www.openstreetmap.org/index.html?minlat=38.2860&maxlat=39.2070&minlon=-91.0940&maxlon=-89.4900&layers=B000FTFT&box=yes
DEN Denver: 560
http://www.openstreetmap.org/index.html?minlat=39.4000&maxlat=40.6400&minlon=-105.3500&maxlon=-104.6500&layers=B000FTFT&box=yes
IAH Houston: 405
http://www.openstreetmap.org/index.html?minlat=29.4520&maxlat=30.1270&minlon=-95.8870&maxlon=-94.8630&layers=B000FTFT&box=yes
DFW Dallas: 396
http://www.openstreetmap.org/index.html?minlat=32.6000&maxlat=33.2740&minlon=-97.5000&maxlon=-96.5000&layers=B000FTFT&box=yes
MIA Miami: 493
http://www.openstreetmap.org/index.html?minlat=25.4110&maxlat=27.0020&minlon=-80.5200&maxlon=-79.9960&layers=B000FTFT&box=yes
PHL Philadelphia: 219
http://www.openstreetmap.org/index.html?minlat=39.8000&maxlat=40.2620&minlon=-75.4000&maxlon=-74.7040&layers=B000FTFT&box=yes
PIT Pittsburgh: 673
http://www.openstreetmap.org/index.html?minlat=39.9440&maxlat=40.8850&minlon=-80.5400&maxlon=-79.4000&layers=B000FTFT&box=yes
WAS Washington, DC: 116
http://www.openstreetmap.org/index.html?minlat=38.7000&maxlat=39.1000&minlon=-77.2500&maxlon=-76.8000&layers=B000FTFT&box=yes
BOS Boston: 49
http://www.openstreetmap.org/index.html?minlat=42.2200&maxlat=42.4500&minlon=-71.2300&maxlon=-70.9500&layers=B000FTFT&box=yes
PHX Phoenix: 1693
http://www.openstreetmap.org/index.html?minlat=32.1000&maxlat=33.7500&minlon=-112.5000&maxlon=-110.7000&layers=B000FTFT&box=yes
ATL Atlanta: 227
http://www.openstreetmap.org/index.html?minlat=33.5000&maxlat=34.1000&minlon=-84.6500&maxlon=-84.0500&layers=B000FTFT&box=yes
MEM Memphis: 992
http://www.openstreetmap.org/index.html?minlat=34.7070&maxlat=35.9870&minlon=-90.8280&maxlon=-89.4850&layers=B000FTFT&box=yes
BWI Baltimore: 193
http://www.openstreetmap.org/index.html?minlat=39.0380&maxlat=39.5220&minlon=-76.9150&maxlon=-76.3070&layers=B000FTFT&box=yes
YYC Calgary: 1770
http://www.openstreetmap.org/index.html?minlat=50.7330&maxlat=51.5360&minlon=-115.7110&maxlon=-112.5880&layers=B000FTFT&box=yes
YEG Edmonton: 4790
http://www.openstreetmap.org/index.html?minlat=52.0300&maxlat=54.1800&minlon=-115.3600&maxlon=-112.2300&layers=B000FTFT&box=yes
YWG Winnipeg: 1207
http://www.openstreetmap.org/index.html?minlat=49.4710&maxlat=50.3810&minlon=-98.4500&maxlon=-96.5470&layers=B000FTFT&box=yes
LAS Las Vegas: 3094
http://www.openstreetmap.org/index.html?minlat=35.1200&maxlat=36.5000&minlon=-115.4000&maxlon=-111.5000&layers=B000FTFT&box=yes



LON London: 80
http://www.openstreetmap.org/index.html?minlat=51.3800&maxlat=51.6000&minlon=-0.3500&maxlon=0.1500&layers=B000FTFT&box=yes
PAR Paris: 16
http://www.openstreetmap.org/index.html?minlat=48.8100&maxlat=48.9100&minlon=2.2500&maxlon=2.4200&layers=B000FTFT&box=yes
OSL Oslo: 456
http://www.openstreetmap.org/index.html?minlat=59.4000&maxlat=60.1000&minlon=10.0000&maxlon=11.0000&layers=B000FTFT&box=yes
ARN Stockholm: 457
http://www.openstreetmap.org/index.html?minlat=59.0900&maxlat=59.6300&minlon=17.3700&maxlon=18.6400&layers=B000FTFT&box=yes
AMS Amsterdam: 56
http://www.openstreetmap.org/index.html?minlat=52.2200&maxlat=52.4700&minlon=4.7100&maxlon=5.0500&layers=B000FTFT&box=yes
HEL Helsinki: 188
http://www.openstreetmap.org/index.html?minlat=60.0230&maxlat=60.4290&minlon=24.6000&maxlon=25.2000&layers=B000FTFT&box=yes
FCO Rome: 418
http://www.openstreetmap.org/index.html?minlat=41.3590&maxlat=42.2090&minlon=11.9800&maxlon=12.9350&layers=B000FTFT&box=yes
BRN Bern: 195
http://www.openstreetmap.org/index.html?minlat=46.6780&maxlat=47.2000&minlon=7.0920&maxlon=7.7150&layers=B000FTFT&box=yes
BRU Brussels: 180
http://www.openstreetmap.org/index.html?minlat=50.5160&maxlat=51.0450&minlon=4.1170&maxlon=4.6660&layers=B000FTFT&box=yes
BER Berlin: 90
http://www.openstreetmap.org/index.html?minlat=52.3750&maxlat=52.6500&minlon=13.1200&maxlon=13.6500&layers=B000FTFT&box=yes
HAM Hamburg: 100
http://www.openstreetmap.org/index.html?minlat=53.4200&maxlat=53.7200&minlon=9.7400&maxlon=10.2500&layers=B000FTFT&box=yes
MUC Munich: 90
http://www.openstreetmap.org/index.html?minlat=48.0000&maxlat=48.3000&minlon=11.3000&maxlon=11.7700&layers=B000FTFT&box=yes
CGN Cologne: 120
http://www.openstreetmap.org/index.html?minlat=50.6300&maxlat=51.0900&minlon=6.7900&maxlon=7.2100&layers=B000FTFT&box=yes
FRA Frankfurt: 117
http://www.openstreetmap.org/index.html?minlat=49.9100&maxlat=50.2000&minlon=8.1600&maxlon=8.8000&layers=B000FTFT&box=yes
VIE Vienna: 130
http://www.openstreetmap.org/index.html?minlat=47.9840&maxlat=48.4250&minlon=16.1210&maxlon=16.6260&layers=B000FTFT&box=yes
ZRH Zurich: 115
http://www.openstreetmap.org/index.html?minlat=47.1510&maxlat=47.5630&minlon=8.3500&maxlon=8.7500&layers=B000FTFT&box=yes
CPH Copenhagen: 300
http://www.openstreetmap.org/index.html?minlat=55.3860&maxlat=56.1530&minlon=12.0850&maxlon=12.7220&layers=B000FTFT&box=yes
DUS Dusseldorf: 74
http://www.openstreetmap.org/index.html?minlat=51.3460&maxlat=51.5350&minlon=6.8500&maxlon=7.1350&layers=B000FTFT&box=yes http://www.openstreetmap.org/index.html?minlat=51.1250&maxlat=51.3550&minlon=6.6900&maxlon=6.9200&layers=B000FTFT&box=yes
STR Stuttgart: 70
http://www.openstreetmap.org/index.html?minlat=48.6590&maxlat=48.9040&minlon=8.9060&maxlon=9.4220&layers=B000FTFT&box=yes
GLA Glasgow: 860
http://www.openstreetmap.org/index.html?minlat=55.7000&maxlat=56.5000&minlon=-4.5700&maxlon=-2.8000&layers=B000FTFT&box=yes



My sample for Asia is a bit weird - these are both city states so expanding doesn't make a lot of sense. Singapore takes 213 4km x 4km tiles to total 3.4MB. Hong Kong takes 503 tiles to make up 4.9MB.

SIN Singapore: 213
http://www.openstreetmap.org/index.html?minlat=1.1340&maxlat=1.5230&minlon=103.4990&maxlon=104.1190&layers=B000FTFT&box=yes
HKG Hong Kong: 503
http://www.openstreetmap.org/index.html?minlat=22.0250&maxlat=22.6930&minlon=113.4950&maxlon=114.5190&layers=B000FTFT&box=yes

My data doesn't include turn restrictions and bus route data so I'm blind to that effect on the data. Because buildings can contain a lot nodes, it's possible that cities with a lot of buildings look denser to me than others.

John


On 64-07-22 11:59 AM, Martijn van Exel wrote:
Hi Matthias,

I'd like to see some non-EU quality analysis as well, and I am willing to work on it too. Right now I am just getting settled here in the US and doing some mapping locally, but next on my list is doing some quality analysis for at least some major US metro areas.

If you find anything along those lines that is done already, please share. I have not really looked all that hard but from my previous inquiries into quality analysis, I found most tools / results to be EU based. I would think Cloudmade or MapQuest should have something to say about this - Nick, Ant?

Martijn

On Mon, Aug 22, 2011 at 9:52 AM, Matthias Meisser <[email protected] <mailto:[email protected]>> wrote:

    Hi there,

    well I'm looking for somekind of research/stats on the quality of our
    project especially in US or Asian area.

    I browsed the most of the scientific papers at
    http://wiki.openstreetmap.org/wiki/Research
    but that ones, that concern the quality (and it's metrics) are mostly
    focused on the EU area.

    So did I missed something and there is already a report covering diff.
    metrics of other continents?

    P.S. Yes I know QSMatrix for sure (which is pretty cool), but this
    doesn't cover non EU, too :(
    http://wiki.openstreetmap.org/wiki/OSMatrix


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schaaltreinen.nl <http://schaaltreinen.nl>

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