1. The launch version of the WISE public website and viewer
The access limitations etc. Is handled in the WISE portal user administration.
The resulting flash application(s) made available at the client PC will be dependent on the user credentials.

2. Entry page to the WISE public web site

3. The WISE public web site – what it is:
Public interface to water related information
Single gateway to European datasets (spatial and non-spatial) with water related content
In future providing a gateway to related reports and information, link to national systems
Target Group
Experts (EU, Member countries)
Informed Public
WISE map viewer is key part of the service
You should explain some basics about the user and find some feedback for items of discussion, such as; ‘What will be the final Target Group’ The system as we see it now will allow for the Informed Public, but also caters for more advanced users

4. Prototype WISE public viewer
Advantages of a WISE map viewer
Visualisation of reported data and EU-level assessments improving communication with MS
Combining disparate datasets including the spatial dimension gives a new perspective
E.g. looking at nitrate levels in River Basin Districts rather than at country level
In future gateway links from map based visualisation
Here you can cover some initial advantages of such a viewer. There are advantages in combining disparate data sets, also if the viewer allows the user to find links to more information on datasets this is very useful. There are many more points you can discuss here, such as the linking to analytical servers

5. Functions behind the WISE public viewer
Using and displaying physically stored data
Tabular data
Map services (spatial data)
Exchanging distributed stored data through
Data synchronisation/mirroring (XML files, Shape files)
Web mapping services (spatial data)
Here you can cover some initial advantages of such a viewer. There are advantages in combining disparate data sets, also if the viewer allows the user to find links to more information on datasets this is very useful. There are many more points you can discuss here, such as the linking to analytical servers

6. Common Data in the WISE public viewer I
Europe-wide background maps and datasets
CORINE Landcover
IMAGE 2000
Digital elevation model
CCM 1 / 2
TELEATLAS water layers (for reference only)
Europe-wide SoE data
EIONET Rivers, Lakes, Groundwater
Here you can cover some initial advantages of such a viewer. There are advantages in combining disparate data sets, also if the viewer allows the user to find links to more information on datasets this is very useful. There are many more points you can discuss here, such as the linking to analytical servers

7. Data in the WISE public viewer II
WfD related data
Art3 data
Intercalibration data
Selected/available Art5 data
Water data from other directives
Selected data from the UWWT database
Selected data on bathing water quality
Here you can cover some initial advantages of such a viewer. There are advantages in combining disparate data sets, also if the viewer allows the user to find links to more information on datasets this is very useful. There are many more points you can discuss here, such as the linking to analytical servers

8. Functions for users of the WISE public viewer
Map based
Dynamic viewing, zooming, selection of thematic layers
Dataset based
Pre-defined expert queries combining datasets and showing tabular and mapping results
Factual/textual information
Displayed for selected thematic layers
PLUS
General information and portal functions related to WfD and WISE
Here you can cover some initial advantages of such a viewer. There are advantages in combining disparate data sets, also if the viewer allows the user to find links to more information on datasets this is very useful. There are many more points you can discuss here, such as the linking to analytical servers

9. Development phases First prototype Second prototype Third prototype
Basic mapping fucntions
December 2005
Second prototype
More advanced mapping fuctions
Integrating e.g. 20 expert queries
June 2006
Third prototype
Adtitonal data display functions
Integrating more expert queries and more quality assured data
WD November 2006
Fourth prototype
Integrating full initial functionality
Early 2007
Launch March 22nd 2007
Here you can cover some initial advantages of such a viewer. There are advantages in combining disparate data sets, also if the viewer allows the user to find links to more information on datasets this is very useful. There are many more points you can discuss here, such as the linking to analytical servers

10. Access under http://dataservice.eea.eu.int/wise Viewer options
Explain that more than one viewer can be hooked up here

11. Searching for Copenhagen and showing EIONET water stations and classified land use
Search information. The WISE viewer might give you several different ways of searching information and jump to that location.

12. CCM, WfD and EIONET water information mapped on Sicily
You should note that it is simply a viewer with limited analytical functionality. If queries were to be made between different servers on big datasets, this will slow the service down and probably frustrate the user.
Also the Viewer is totally dependent on the quality of the data supplied by the members of state. Expertise is needed on these datasets to pull the maximum value from them. Therefore close collaboration will be needed between the different parties involved.

13. UWWTD data in the north of England
You should note that it is simply a viewer with limited analytical functionality. If queries were to be made between different servers on big datasets, this will slow the service down and probably frustrate the user.
Also the Viewer is totally dependent on the quality of the data supplied by the members of state. Expertise is needed on these datasets to pull the maximum value from them. Therefore close collaboration will be needed between the different parties involved.

14. Selecting and querying of EIONET water station data around Hull (Northern England)
You should note that it is simply a viewer with limited analytical functionality. If queries were to be made between different servers on big datasets, this will slow the service down and probably frustrate the user.
Also the Viewer is totally dependent on the quality of the data supplied by the members of state. Expertise is needed on these datasets to pull the maximum value from them. Therefore close collaboration will be needed between the different parties involved.

15. Future ‘Gateway’ functionality – semantic links
Here you can see the functionality where the EEA ALISS server will be integrated into the viewer to provide the user the option to discover more information on layers and topics he / she browse. In this example the user switched on the Intercalibration layer, the viewer then picks up on the keyword ‘Intercalibration’ and searches for relevant topics on that keyword. Links to these are then provided in a popup window

16. The WISE web site acts as a portal to other mapping services
Services Page
Explain that the viewer is based on background services – these being BOTH ESRI AXL and WMS which allows anybody to connect to it with any technology of their choice. Thus the JRC could connect to the WISE data easily without a viewer and more importantly experts can connect with a bespoke GIS platform such as ArcInfo to do expert queries.