Development

Building professional geo-analytical dashboards and reports with GeoBIExt

Session Type: 
Tech Session
Presenter(s): 
Dr Thierry Badard, Spatialytics
Luc Vaillancourt, Spatialytics

Geospatial Business Intelligence (GeoBI), combining GIS and BI technologies, has recently stirred marked interest for the huge potential of combining spatial analysis and map visualization with proven BI tools and techniques such as data warehousing (DW), On-Line Analytical Processing (OLAP), ... A complete open source GeoBI suite is now available at http://www.spatialytics.org. It comprises: 1) GeoKettle, a spatial ETL tool targeted for geo-analytical data warehousing, 2) GeoMondrian, a Spatial OLAP (SOLAP) server which extends the open source Mondrian OLAP server with GIS data types and functions and 3) GeoBIExt (extending the formerly known SOLAPLayers project), a rich client visualization framework for SOLAP data, using GeoExt/OpenLayers as the web mapping front-end. It enables the creation of drillable and interactive geo-analytical dashboards or more static reports, which allow the analyze of data through different representations (maps, charts and cross-tabs) and levels of detail in order to take more informed and hence better decisions. The GeoBIExt framework is composed of a server part which acts as a relay between the different data sources and the client part for interactive visualisation and exploration of geo-analytical data.

Speaker Bio: 

Thierry Badard is professor in geoinformatics at Laval University (Quebec, Canada). He is also a co-founder and the CTO of Spatialytics (http://www.spatialytics.com), a company specialized in GeoBI (Geospatial Business Intelligence) software development.

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Modeling of landslide-generated tsunamis with GRASS

Session Type: 
Academic Session
Presenter(s): 
Dr. Massimiliano Cannata, SUPSI-IST
Roberto Marzocchi

 

Speaker Bio: 

With a PhD in Geodesy and Geomatic Engineering he's the head of the Geomatics Division at the SUPSI; He's interest are in monitoring and natural hazard modelling. He's member of the ZOO and GRASS PSC and OSGeo member.

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PAGC: Geocoding -- Recent Advances and Future Developments

Session Type: 
Tech Session
Presenter(s): 
Dr. Daniel Putler, PAGC Project
Mr. Stephen Woodbridge
Mr. Walter Sinclair

The Postal Address Geocoder (or PAGC) is an open source library and web service framework for geocoding locations based on either postal addresses, street intersections, or landmarks. The system offers a number of features that differentiate it from other open source geocoding software solutions:

  • PAGC is written in ANSI C it runs on all major operating systems, and can be easily ported to nearly all operating systems
  • PAGC is pre-configured to use data from several different providers (TIGER/Line, Statistics Canada's Road Network File, and others), and through the creation of a simple configuration file, it can easily work with data from a large number of other providers
  • PAGC makes use of an advanced three-method probabilistic matching algorithm to provide the greatest possible match rate for street addresses
  • PAGC can be used with multiple input data sources (shapefiles, SQLite database tables, and, soon, PostgreSQL/PostGIS database tables), and data stores (BerkeleyDB, SQLite, with PostgreSQL in the works)
  • PAGC has the ability to provide an ID number in addition to geographic coordinates, which can greatly simplify database operations for location-based applications
  • PAGC allows the user to edit road segment address ranges on the fly, enabling the user to overcome suppressed or altered address ranges frequently encountered in government originated road network layers

In this talk we will briefly discuss the history of the PAGC project, but really focus on the products features and recent developments (particularly as it relates to advances in data source and data store options) and the PAGC feature set road map (including better internationalization, a reverse geocoder, and a number of others) . In addition, we will present a demonstration of a location-based service that is made possible by using PAGC as a core underlying technology.

Speaker Bio: 

Dan Putler is the founder of Anemoi Analytics, a data and professional services provider for spatial business intelligence applications and is the Project Steering Committee chair for the PAGC project.

Stephen Woodbridge is the principal of iMaptools, a geospatial software infrastructure specializing in location and routing services. He is a member of the UMN Mapserver Technical Steering Committee and an active contributor to the PAGC project.

Walter Sinclair is the lead developer for PAGC and the E-Flora BC and E-Fauna BC projects at the University of British Columbia.

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Store, manipulate and analyze raster data within the PostgreSQL/PostGIS spatial database

Session Type: 
Tech Session
Presenter(s): 
Pierre Racine, University Laval

Raster support is the new big feature of PostGIS 2.0. You can now store georeferenced, multiband, multiresolution, with nodata value raster coverages in the popular spatial database. A raster coverage is typically stored as a table of many tiles. You can load rasters in any format supported by GDAL and the list of raster tables is available to applications in a table named raster_columns. You can do raster/vector analysis doing intersections as you are used to do them with vector data stored in PostGIS. You can also do raster analysis in the raster way with a set of map algebra functions working one pixel at a time, on the neighborhood of a pixel, on two rasters, with expressions or custom user PL/pgSQL functions. All analysis takes nodata values into account unless specified. You can edit rasters pixel by pixel, many pixels at a time, using raster coordinates or georeferenced geometries. You can also convert PostGIS rasters to geometries or to any raster format supported by GDAL. You can also dump those rasters in the filesystem using the GDAL driver or display them in QGIS or svSIG. With raster, topology, routing and 3D capabilities, PostGIS is becoming a complete in-the-database GIS driven with the SQL language.

Speaker Bio: 

After working for 5 years as an analyst at Bentley Systems in Quebec city and an doing a master degree in geomatics, Pierre Racine is now research assistant at University Laval. He is the initiator and manager of the PostGIS raster project.

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Open Source Business Intelligence (OSBI): Overview and Geospatial Enablement

Session Type: 
Tech Session
Presenter(s): 
Mr Luc Vaillancourt, Spatialytics
Dr Thierry Badard, Spatialytics

Business Intelligence (BI) Technologies can integrate, compare and analyze large amounts of data from many different sources using tools, software and standards for data integration (ETL), data warehouse, OLAP server (Online Analytical Processing), the MDX query language (MultiDimentional eXpression), data mining, dashboards and reporting. Get an overview of the Open Source Business Intelligence (OSBI) technologies like BIRT, JasperSoft, Pentaho and SpagoBI, who now have millions of users from several millions downloads and how you can integrate geospatial, mapping and thematic mapping using FOSS4G and FOSS4GeoBI.

Speaker Bio: 

Luc Vaillancourt is the CEO of Spatialytics, a company in the Business Intelligence and Geospatial, founded in 2009. Luc Vaillancourt founded BALIZ Inc. in 2007, now dedicated on publishing BALIZ-MEDIA.com, a French speaking online magazine covering the Geospatial industry. Luc Vaillancourt founded KOREM Inc. in 1993 and led the growth of this company until 2005.

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