PostGIS

PostGIS Resources

OpenGeo Services

OpenGeo offers PostGIS training, including introductory and advanced sessions, as well as PostGIS core development to add new features to the project.

Our PostGIS Team

Sam Smith

Sam Smith

Samuel has worn multiple hats during his 12-year affair with spatial technologies: user, print cartographer, web-mapper, integrator, scripter/programmer, trainer, analyst, manager.

Paul Ramsey

Paul Ramsey

Paul has worked on geospatial software for over 13 years, as a programmer and consultant. He co-founded the PostGIS spatial database project in 2001, and is an active developer and project steering committee member.

About PostGIS

PostGIS

PostGIS “spatially enables” the PostgreSQL open source relational database. The database can then be used to store and query spatial data (points, lines and polygons).

PostGIS is widely supported as a spatial database back-end to client and server software, including:

PostGIS @ OpenGeo

Recent Contributions

OpenGeo funds ongoing development of PostGIS as part of our larger mission to make public geodata more accessible and usable to civil society. Recent contributions include:

  • Addition of a "geography" type, allowing native indexing and functions on spherical (latitude/longitude) coordinates.
  • Performance improvements to the ST_Union() aggregate and all other geometry aggregates.
  • Addition of a GUI for Shape file loading.
  • Upgrading the underlying geometry libraries.
  • Coordination of the release of PostGIS 1.5.
  • Coordination and maintenance work around the release of GEOS 3.2.2.
  • Organization of a second code sprint for PostGIS.

Core Development Roadmap

Asset Tracking Model

Tracking collections of moving objects, querying the historical data for relationships, and maintaining alarms when objects enter/leave areas is now a very common use case. The objects might be trucks, planes, boats, people, and so on. A standard data model, support functions, and API for efficient handling of this case would be helpful.

Loose Geometry Matching

Geometry matching function in PostGIS are currently biased toward exact matches. However, spatial data is often “logically equivalent but physically disjoint” – the machine representations are close but not exact even though the geometries represent the same features.

R-Tree Index Packing

The PostGIS spatial index currently splits pages based on longest edge. This results in trees that have sub-optimal spatial clustering in the branches, which in turn makes for sub-optimal clustering. A packed R-Tree would provide the highest performance clustering.

More development items...