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© 1Spatial 2012. All rights reserved. The cloud roadmap for MapRoad data validation GIS Ireland 2012 Barry Doyle, Roscommon County Council and Chris Tagg,

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Presentation on theme: "© 1Spatial 2012. All rights reserved. The cloud roadmap for MapRoad data validation GIS Ireland 2012 Barry Doyle, Roscommon County Council and Chris Tagg,"— Presentation transcript:

1 © 1Spatial 2012. All rights reserved. The cloud roadmap for MapRoad data validation GIS Ireland 2012 Barry Doyle, Roscommon County Council and Chris Tagg, 1Spatial

2 MapRoad Background  GIS application used by Local Authorities to manage road related data such as the road itself, road condition data, road maintenance data, accident data, bridge data, and traffic data.  Desktop based \ Runs on top of MapInfo.  Functionality available through a number of modules.  To be used for the planning, creation, estimation of Works Programmes.  Developed, Implemented, Supported by LGMA (Previously LGCSB). 2

3 Road Network Module  Main module used to manage and maintain the Road Schedule. (Roads taken in charge by the Council).  Roads are represented as road segments, with nodes identifying start and end points.  Attribution stored against road segments and nodes. 3

4 4

5 Project Drivers 5  Recognition of need to improve accuracy of Road schedule.  Various issues identified including:  Accuracy issues (Originally digitised from OSi 6” map series)  Connectivity issues (Road to Road / Road to node)  Geometric issues  Support evidence based grant submissions.  Upgrade to MapRoad 2.3.

6 Online Validation Service 6 Baseline assessment Kickbacks, spikes, dup points Continuous network Accurate alignment Quantitative benefit analysis

7 Results  Automated workflow reduced number of non- conformances from 12, 312 to only 161 7

8 Benefits  Validation  Service gives a picture of data prior to any processing  Can be used to identify internal process issues and define business cases  Identification of all issues and errors  MapRoad specific  Geometric  Identification of errors that couldn’t be identified manually  Time and resource savings  Auto-correction  Re-alignment with OSi large scale vectors 8

9 Benefits  Future Proof  Utilisation for other purposes e.g. INSPIRE  Easy integration with OSi PRIME2  Flexible  Rules can be added or modified within a relatively short timeframe  The cloud approach  No implementation costs (hardware / software /development)  Subscription cost model 9

10 10 Barry Doyle bdoyle@roscommoncoco.ie Chris Tagg chris.tagg@1spatial.com


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