Spatializing your Data with PostGIS, GeoDjango & OpenLayers

Chander Ganesan (Open Technology Group, Inc)
Databases, Programming, Web Applications
Location: Ballroom A2
Average rating: ****.
(4.00, 5 ratings)

Today, spatially enabled applications provide a fast and flexible way to better understand and analyze information. From locating the nearest grocery store to back-tracking sources of environmental pollution, GIS technologies and skills are rapidly moving from the realm of “highly specialized” to “commonplace”.

This tutorial covers some of the most common Open Source GIS technologies available today – PostGIS, a set of spatial extensions to PostgreSQL; OSGeo’s OpenLayers, a client-side JavaScript map “mash-up” application; and GeoDjango, a set of Geospatial extensions to the Django framework. Using these technologies we will explain and implement a web application using municipal street, school, police, and property data from a typical US municipality (Wake County, NC).

Attendees will learn how to import and manage spatial data using GeoDjango, perform basic spatial queries using the GeoDjango database model, and develop and deploy web-based mapping services using OpenLayers.

Photo of Chander Ganesan

Chander Ganesan

Open Technology Group, Inc

An experienced Open Source developer with over a decade of experience, Chander develops and delivers training and consulting services focused around Open Source technologies. His programming language experience includes Python, PHP, Django, JavaScript, and PERL, and his database experience includes PostgreSQL, Oracle, MS SQL Server, and MySQL . Chander also works extensively with Open Source geospatial solutions, including PostGIS, OpenLayers, GeoDjango, and MapServer.

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Comments

Frank Tsay
07/21/2009 1:59pm PDT

This presentation is exactly what I expected. It covered all the tools I would need to finish my project.

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