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Big data analysis with Tile Reduce and Turf.js

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No logo availableFOSS4G
Logo of Open Source Geospatial Foundation (OSGeo)Open Source Geospatial Foundation (OSGeo)
 Lee, Tom

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Big data analysis with Tile Reduce and Turf.js
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CC Attribution - NonCommercial - ShareAlike 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
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Production Year2015
Production PlaceSeoul, South Korea

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Abstract
Tile Reduce is a new open source map reduce frame work for analyzing massive geo data. Tile reduce is a tile analysis framework built on the javascript GIS library Turf.js. It runs on your local computer or in the AWS cloud and scales to run thousands of processors in parallel. At Mapbox we use Tile Reduce to detect issues in global street vector data like OpenStreetMap, data comparison and data conflation. This talk will walk through the architecture of Tile Reduce, highlight advantages, limitations and future developments.