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National Environmental Research Institute, University of Aarhus, Denmark GIS Guidance update.

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Presentation on theme: "National Environmental Research Institute, University of Aarhus, Denmark GIS Guidance update."— Presentation transcript:

1 National Environmental Research Institute, University of Aarhus, Denmark GIS Guidance update

2 National Environmental Research Institute, University of Aarhus, Denmark GIS Guidance – WISE TG 5-6 Nov 2007 Vienna Overview Purpose Current status Priority chapters Time plan

3 National Environmental Research Institute, University of Aarhus, Denmark GIS Guidance – WISE TG 5-6 Nov 2007 Vienna Purpose of updating guidance document The updated guidance document is based on the assumption that the GIS component of WISE will be a building block of the future European Spatial Data Infrastructure. The key services of WISE will be the visualisation of geographic and geo-referenced data, the integration of data from different sources and at various levels (European and national levels), the compliance assessment of data related to the implementation of the water Directives, and policy assessment through the creation and analysis of scenarios. The purpose of updating the guidance document is to support the development of WISE by providing technical specifications, IT tools and digital resources to be used by data providers and WISE developers. The existing guidance from 2003 forms the starting point for the work.

4 National Environmental Research Institute, University of Aarhus, Denmark GIS Guidance – WISE TG 5-6 Nov 2007 Vienna INSPIRE Data harmonisation Components

5 National Environmental Research Institute, University of Aarhus, Denmark GIS Guidance – WISE TG 5-6 Nov 2007 Vienna Current status Agreement on Extended TOC Priority chapters identified Consortium to draft all chapters New time plan

6 National Environmental Research Institute, University of Aarhus, Denmark GIS Guidance – WISE TG 5-6 Nov 2007 Vienna Extended TOC Overview of chapters and annexes distributed (circa) Based on a background document

7 National Environmental Research Institute, University of Aarhus, Denmark GIS Guidance – WISE TG 5-6 Nov 2007 Vienna Priority chapters 3.1 Reference datasets (maps) 4.1 What is WISE compatible? 4.2 Update of existing datasets 4.3 Creation of new datasets 5.1 General approach for definition of datasets 5.2 Overview of GIS layers and their relationships 5.3 Data model definition 5.4 Feature coding General principles Implementation of coding of surface waters 5.5 Metadata implementation

8 National Environmental Research Institute, University of Aarhus, Denmark GIS Guidance – WISE TG 5-6 Nov 2007 Vienna Time table on Priority chapters 5-6 November 2007: Consultation with WISE TG + copy to WISE SG 20 November 2007: Second draft after consultation with TG Internal consultation 20 Dec 2007: 3rd draft of priority chapter to circa 15 January 2008: –GIS group meeting Dublin –Third draft of priority chapters and first draft of remaining chapters of the guidance Mid February 2008: Meeting of GIS group End of February 2008: Final draft of all chapters and any other deliverables of the guidance document March – June 2008: Consultation WG D, SCG and Water Directors)

9 National Environmental Research Institute, University of Aarhus, Denmark GIS Guidance – WISE TG 5-6 Nov 2007 Vienna 3.1 Reference data sets (JC)

10 National Environmental Research Institute, University of Aarhus, Denmark GIS Guidance – WISE TG 5-6 Nov 2007 Vienna 4.1 What is WISE compatible WISE applying standards –OGC -> ISO -> INSPIRE WISE compatibility –Principles WISE interoperability –Built on distributed nodes –Scale dependent node level

11 National Environmental Research Institute, University of Aarhus, Denmark GIS Guidance – WISE TG 5-6 Nov 2007 Vienna Principles from WISE IP (4.1 cont’d) Key principle: "Report once use many[1] – harmonise reporting tools"[1] WISE will integrate State-of-the-Environment (SoE) and compliance (and where appropriate other) reporting data flows. Free use of MS data for visualisation and analytical purposes. WISE is built as distributed data nodes Users can build own services to connect their data to WISE or access WISE data [1] Data should be collected once, maintained at most appropriate level and shared between all levels. [1]

12 National Environmental Research Institute, University of Aarhus, Denmark GIS Guidance – WISE TG 5-6 Nov 2007 Vienna Principles inherited from INSPIRE (4.1 cont’d) Shared information system Data should be stored at different nodes and information should be shared between all participating nodes. Interoperable system For the sake of information sharing and exchange all participating nodes have to be interoperable data should be exchangeable and services should be able to access and process data from different nodes. Follow subsidiarity principle Data should be maintained at the most appropriate level and shared between all other levels. Transparent (open) It should be possible to discover easily data and services. User should be able to determine data’s fitness for use and the conditions of usage should be clearly described

13 National Environmental Research Institute, University of Aarhus, Denmark GIS Guidance – WISE TG 5-6 Nov 2007 Vienna Additional principles ? (4.1 cont’d) Free use of MS data for visualisation and analytical purposes. Vertical integration, from local operational to pan- European scale, by specifying spatial objects which can serve as references to more detailed information at national / local level. Reporting based on public schemas and multi- approach tools. Collaborative process of CIS for gradually refining specifications Keep It Simple

14 National Environmental Research Institute, University of Aarhus, Denmark GIS Guidance – WISE TG 5-6 Nov 2007 Vienna Workflow diagrams (4.1 cont’d) CIS Specification process Data delivery > QC > Harmonisation > Analysis > Visualization

15 National Environmental Research Institute, University of Aarhus, Denmark GIS Guidance – WISE TG 5-6 Nov 2007 Vienna 5.1 General approach for definition of datasets How to develop the data specifications Principles to be applied during data specification work General specifications Data layer characteristics Two “new” major reference documents: –INSPIRE D2.5 Generic Conceptual Model (93 p) –INSPIRE D2.6 Methodology for the development of Data specifications (151 p)

16 National Environmental Research Institute, University of Aarhus, Denmark GIS Guidance – WISE TG 5-6 Nov 2007 Vienna INSPIRE Data harmonisation Components

17 National Environmental Research Institute, University of Aarhus, Denmark GIS Guidance – WISE TG 5-6 Nov 2007 Vienna Data specifications Which set of elements make a full specification document ? –Reportnet structure sufficient? –UML conceptual model (existing) –data dictionary (existing) –(New) Structured table /schema for Data capturing, validation rules, reference systems.. Versioning ? Data capturing (selection of objects) Rules for generalisation of geometry ? Use of points only to represent small objects ? Lighter semantics ? Will it always only be simple geometry types – not coverages !


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