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FOSS4G North America Conference 2013 Preliminary Program

FOSS4G North America Conference 2013 Preliminary Program

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LIDAR in PostgreSQL with PointCloud<br />

Paul Ramsey, OpenGeo<br />

How do you store massive point cloud data sets in a database for easy access, filtering and<br />

analysis? The new PointCloud extension for PostgreSQL allows LIDAR data to be loaded,<br />

filtered by spatial and attribute values, and analyzed via integration with PostGIS. We'll discuss<br />

the extension implementation, basics of loading data with PDAL, and how to use PointCloud with<br />

PostGIS to do on­the­fly LIDAR analysis inside the database.<br />

Dynamic Geospatial: Polygon Indexing and GeoJSON Support in MongoDB<br />

Greg Studer, 10gen ­ the MongoDB Company<br />

This talk will go through new geospatial features added in MongoDB v2.4 and outline some of the<br />

work done "under the hood" to build out more sophisticated geospatial capabilities.<br />

MongoDB v2.4 adds two major features to its current geospatial querying capabilities­ support<br />

for GeoJSON documents and querying based on polygon and line geometries. Both of these<br />

features are based on the open­source Google S2 spherical geometry library. As the most<br />

visible JSON format for geospatial data, GeoJSON data is a natural fit to MongoDB's<br />

BSON­based document structure, and allows better interactivity with tools that understand<br />

GeoJSON.<br />

The move to GeoJSON is coupled with a number of indexing improvements long­requested by<br />

users (true wrapping spherical searches, geo­index reordering, and searches over multiple<br />

geospatial fields). A roadmap for future development is currently being defined based off this<br />

new work, where the goal is to further integrate the current 2d and 2dsphere indexing capabilities<br />

into a general solution for flat­map and spherical­world applications.

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