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iSMART5 - Leading GeoSpatial platform for development of integrated, enterprise grade spatially enabled applications


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Download Oracle Podcast - eSpatial & Verizon succeed with Oracle Spatial

Click here to Download iSMART 5.4 Webinar

Verizon Wins Verizon Wins "GITA 2008 Innovator Award" with Web Mapping Application, built on eSpatial's iSMART

Oracle 10g Spatial white paper View Case Study here
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eSpatial Case studies in Oracle Book Two eSpatial Case studies have been included in the latest Oracle Book 'Pro Oracle Spatial':

DOD Case Study
USGS Case Study


iSMART 5.4, the most advanced Web 2.0 GIS Software Product suite available on the market today.Oracle 10g Spatial white paper Download data sheet


Click here to view Live recording of recent eSpatial & Oracle hosted Webinar







Solutions - Spatial Data Warehouse

Data itself is rarely of value to an organisation. It is the information that can be derived from that data that is valuable. Deriving information means analysing and understanding the relationships between the various data.

In the spatial arena this could be as simple as measuring the distance between two points or deriving how many customers live within a certain catchment area. What is important is that the data is amenable to analysis.

Most large organisations have many sources and formats of spatial data, or data that is spatially referenced e.g., a customer name and address. For example a utility company may source base-map data from their national mapping agency, customer demographic data from the census agency, network data from their own surveyors and geological data from yet another. If this data is to be of use then it must be:

* Converted or transformed into a common format and data model * Stored in a common data store that allows meaningful searches across the data * Accessible in whatever format that the user requires.

eSpatial's standards based technology supports the consolidation, transformation and referencing of most forms of spatial data. Stored in an oracle spatial database, the data is easily queried and analysed, and can be distributed in multiple formats to any device, anywhere.