What is JMap Spatial OLAP?

JMap Spatial OLAP is the first web-enabled technology that completely integrates geospatial dimensions within a business intelligence decision support environment. It offers an intuitive user interface allowing non-technical users to easily access, visualize and analyze their spatial data.

In a nutshell, JMAP Spatial OLAP:

• Aims at supporting the way humans think and analyze data,

• Is used without having to know any query language; mouse clicks are used to interact with the data or the legend,

• Allows the users to focus on the results of data exploration rather than the analysis process itself (i.e. focus on "what to obtain", rather than "how to obtain it")

• Provides practically instantaneous response times

The displays may include several thematic maps, statistical diagrams (bar charts, pie charts, etc.) and tables affected by a symbology defined by values or member classifications. It has never been as easy and rapid to build and compare a year-to-year map series.

Using Spatial OLAP operators, users can easily explore, with a few mouse clicks:

• Different levels of details (e.g. local -> regional -> provincial
• Different themes (e.g. asthma -> greenhouse gas emissions)
• Different times (e.g. 2004 -> 2005, and 2005 -> 06/2005)
• Different analysis elements (e.g. count -> average -> sum) 

JMap Spatial OLAP features

The JMap Spatial OLAP technology supports:

• Multidimensional data structure used in Business Intelligence, which gives a huge advantage over existing web-mapping applications; even though some support drill operations, they are based on the transactional structure;
• Cartographic and non cartographic displays created dynamically with the multidimensional data. This dynamic aspect allows the user to create hundreds of thousands displays (maps, tables and diagrams) using the dataset without having to store each display individually.
• Calculated measures. Users can produce new values using mathematical formulas based on measures that exist in the data cube.
• Spatial dimensions where members are associated to geometric shapes spatially referenced on a map to enable visualization, querying and drilling in a cartographical manner. These spatial dimensions are used to interactively explore data into cartographic displays as well as in tables and charts.
• Cartographic exploration into the map objects and into the map symbols that make use of different spatial drill types that are similar to hyperlinks on web pages. In particular, there are downward, upward, and level drilling features.
• Graphical symbology rules (e.g. background or border colors, patterns) that are used consistently in all types of displays (e.g. tables, maps, and graphics) to produce state-of-the-art views on the data. These rules avoid potential collisions since, theoretically, the same rules do not always apply to maps, pie charts, bar charts, tables, etc.
• Synchronization of interactive exploration between the displays to facilitate the identification and the interpretation of the data. Drill in the map, the corresponding tables and charts are also drilled! This kind of synchronization may only be offered by a fully integrated tool that manages both the OLAP and GIS components such as JMap Spatial OLAP.

JMap Spatial OLAP administration

JMap Spatial OLAP is delivered with a web-enabled administration tool, embedded with the JMapWebAdmin environment, and which is designed to assist the database administrator of the application in:

JMap Spatial OLAP White Paper

Download the JMap Spatial OLAP white paper by clicking on the following button:

Contact information

For sales information regarding JMap Spatial OLAP, contact sales@kheops-tech.com.

The development of JMap Spatial OLAP is a joint effort between KHEOPS and the Centre for Research in Geomatics at Laval University (Quebec), under Dr. Yvan Bedard's team. For more information about Spatial OLAP and the Centre for Research in Geomatics, you can access the following sites:

• Prof. Yvan Bedard' site sirs.scg.ulaval.ca/yvanbedard
• Canada NSERC Industrial Research Chair in Geospatial Databases for Decision Support mdspatialdb.chair.scg.ulaval.ca
• Centre for Research in Geomatics www.crg.ulaval.ca