The document discusses how to analyze OpenStreetMap (OSM) data using CartoDB. It explains that CartoDB makes it easy to import OSM data by directly importing files or from a URL. The imported OSM data is automatically organized into four tables representing points, polygons, roads, and linestrings. It then describes how users can perform analysis on the imported OSM data using SQL and APIs to combine, filter, and visualize the geospatial data in creative ways. Visualizations can be embedded or built using client-side technologies like Leaflet, Google Maps, and D3.

1. Analyzing OpenStreetMap
using CartoDB
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2. Senior scientist and developer @vizzuality
Find me @andrewxhill
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3. User, developer, and pusher of limits @cartodb
Find me @andrewxhill
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4. blog.cartodb.com
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5. So tell me already,
What is CartoDB?
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15. CartoDB is a tool to build applications
and master your geospatial data
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22. Importing OSM data into CartoDB
it’s sooooo easy
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23. We support directly importing OSM
and other formats too!
shp, csv, kml, etc
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24. CartoDB uses osm2pgsql
it keeps it simple
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26. 1 OSM file becomes 4 CartoDB tables
1. Points
2. Polygons
3. Roads
4. Linestrings
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27. Import local data from .org or mirror
simple drag-drop support on most browsers
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28. Or! Import directly from URL
www.openstreetmap.org
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36. From here the sky is the limit
combine SQL, CartoCSS, and APIs with ease
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37. no. seriously.
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38. SQL
remember. it’s everywhere
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41. EMBED
sql is everywhere
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43. SQL API
sql is everywhere
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45. youraccount/osmtable/11/1022/679.png
youraccount/osmtable/11/1022/679.png?yada WHERE rail
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46. CREATIVITY sql is everywhere
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47. not for me
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48. http://goo.gl/orkoq
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54. CLIENT SIDE Leaflet, Google Maps, Backbone, D3
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56. OR
more practical things
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62. INNOVATION they don’t let us sleep...
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68. _I want to see ‘X’ over time
using the SQL API with big data
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70. WITH
hgrid
AS
(SELECT
Cdb_rectanglegrid(Cdb_xyz_extent(8,
12,
5),
Cdb_xyz_resolution(5)
*
4,
Cdb_xyz_resolution(5)
*
4)
AS
cell)
SELECT
x,
y,
Array_agg(c)
vals,
Array_agg(d)
dates
FROM
(SELECT
St_xmax(hgrid.cell)
x,
St_ymax(hgrid.cell)
y,
Count(i.cartodb_id)
c,
Floor((
Date_part('epoch',
built)
-­‐
-­‐10418716800
)
/
32837875)
d
FROM
hgrid,
us_po_offices
i
WHERE
St_intersects(i.the_geom_webmercator,
hgrid.cell)
GROUP
BY
hgrid.cell,
Floor((
Date_part('epoch',
built)
-­‐
-­‐10418716800
)
/
32837875)
)
f
GROUP
BY
x,
y
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71. Raw Datacube
1000
300
100
70
10
3
2
1 1.5
1.2
3mb 70mb 300mb
Payload sizes
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72. http://goo.gl/TsGsr
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73. https://dl.dropbox.com/u/580074/osm_edits_in_madrid.mov
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77. That’s CartoDB +
OpenStreetMap in a nutshell
come talk to me, I’m sure I missed much more
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80. xº
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81. Thanks!
@andrewxhill
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