Go to file
2013-08-22 15:13:29 +02:00
css/jqueryui-smoothness scrubbable torque 2013-03-29 18:43:29 -07:00
dist dist files 2013-08-06 18:18:55 +02:00
doc apichanges 2013-08-20 15:07:26 +02:00
examples migrated to leaflet 0.6.4 2013-08-01 12:04:39 +02:00
img added example pause/play button 2013-04-02 20:50:49 -04:00
lib/torque added a todo 2013-08-22 15:13:29 +02:00
src Rewrite the queries to perform a single scan per tile 2013-05-14 17:27:14 +02:00
template recenter 2013-04-22 11:37:12 -04:00
test wip 2013-07-24 12:20:53 +02:00
vendor migrated to leaflet 0.6.4 2013-08-01 12:04:39 +02:00
.gitignore build scripts 2013-07-30 10:45:35 +02:00
index.html Remove non-puntal examples (not supported by snapToGrid based query) 2013-05-14 18:13:52 +02:00
LICENSE.txt more cleanup 2012-09-30 20:50:13 -04:00
Makefile added all as default 2013-08-06 18:19:01 +02:00
package.json build scripts 2013-07-30 10:45:35 +02:00
README.md Update README.md 2013-08-19 10:39:42 -04:00

Torque

Render big, timeseries data in the client. Uses CartoDB to generate a datacube format. For a brief introduction to the format and methods, see our presentation slides

CartoDB users can use this code right away. Specify your username/tablename and datecolumn to get mapping time immediatley.

Have fun!

Torque library reference

Torque lets you render big, timeseries or categorical data in the client. This is useful for many modern applications that need more than just a static map. Early versions of Torque have been used to visualize human movement, Twitter activity, biodiversity data, and many more large-scale datasets.

The library uses CartoDB to generate a layercube format. For a brief introduction to the format and methods, see our presentation slides. If you are not using CartoDB to host your data, you can modify the input parameters to point toward any layercube service.

Getting started

The simplest way to use a visualization with Torque is...

Create a simple Torque visualization
``` javascript ...
...