@morganherlocker
TileReduce

Parallel Spatial Analysis

...in
javascript

or more specifically,
node.js
Why node.js?
-
fast computation (vs Python)
-
algorithm friendly (vs SQL)
-
package management (vs C/C++)
-
zillions of libraries (vs everything)
a strength of node.js is that it is single threaded
...but that means cores spend time waiting around

TileReduce
distributes spatial analysis
across CPU
cores
give TileReduce an area and it will split it into tiles
tiles,
how do they work?
z7

The
Map

...no, not that kind of
map

each tile is processed through a
map script

this is where the work gets done
-
count things
-
aggregate things
-
measure things
-
manipulate things
-
whatever you want

Data Sources
raw or
geojson
remote or
local
to scale:
- add more computers
- give each a low zoom tile
- tiles stack!

@mapbox + @openstreetmap
- changeset analysis
- finding bogus data
- vandalism detection
- machine learning (tiles fit models nicely)
- automated mapping (see above)
- understanding large datasets quickly
MIT
https://github.com/
mapbox/
tile-reduce

???