1. Work Package 2 - Geostatistics Marja Tammilehto-Luode

2. Work Package 2 - Geostatistics
Objectives
Tasks
Organisation
Timing
Connections to other tasks
Marja Tammilehto-Luode

3. Work package 2 - Geostatistics
To make quidelines for others for making population statistics by grids
To promote/develop data sets and methods to link 2010/2011 statistics to a common harmonised grid
To improve the scope and quality of the existing ESSgrid map
To report obstacles and to propose solution for harmonised grid data and grid data dissemination of the whole of Europe
To visualise grid data and to demonstrate usage of grid data in spatial analysis
Marja Tammilehto-Luode

4. Tasks 2.1. Dissaggregation of data into grids
Definition of methods&data
Testing of methods
Implementation of INSPIRE specs
Confidentiality
2.2. Aggregation of data into grids
Definition of methods&data
Testing of methods
Implementation of INSPIRE specs
Confidentiality
2.3. Integration of national grid data into the European grid data
Obstacles
Methods and quality tests
Solutions/proposals for harmonisation and dissemination
Confidentiality
Marja Tammilehto-Luode

5. Task 2.1 Disaggregation of data into grids Subtasks
2.1.1 Definition of methods & data source Description of used methods for guidelines Description of data sources
2.1.2 Cocrete tests Description of tools and quality indicators
2.1.3 Implementation of INSPIRE Meta data specification
2.1.4 Confidentiality rules and methods Report of different practices
Marja Tammilehto-Luode

6. Task 2.2 Aggregation of data into grids Subtasks
2.2.1 Definition of methods & data source Description of used methods and data for guidelines
2.2.2 Cocrete examples Description of tools and quality indicators with different type of data
2.1.3 Implementation of INSPIRE Meta data specification
2.1.4 Confidentiality rules and methods Report of different practices with different type of data
Marja Tammilehto-Luode

7. Task 2.3 Integration of national grid data into the European grid data Subtasks
2.3.1 Preview of obstacles for harmonisation Report on obstacles to be solved
2.3.2 Integration of grid data from different countries Description of tools and quality indicators for harmonised data
2.3.3 Solutions towards harmonised grid data and grid data dissemination Specifications of harmonised ESS grid data
2.3.4 Confidentiality rules and methods of population variables Solutions for harmonised, European wide population grid data
Marja Tammilehto-Luode

8. Task 2.4 ? Examples - case studies
Marja Tammilehto-Luode

9. Task 2.4. Examples of using harmonised European population grid data
Examples of European harmonised population grid data The European population grid map
2.4.2 Case Studies of spatial analysis with grid data Examples of spatial analysis with harmonised grid data
Marja Tammilehto-Luode

10. Marja Tammilehto-Luode

11. ? All members of EFGS as a reference group
Participants of WP 2
? All members of EFGS as a reference group
Marja Tammilehto-Luode

12. Timing of Work package 2
Marja Tammilehto-Luode

13. Marja Tammilehto-Luode

14. Major connections
1.1. Data specifications Disaggergation Aggregation
1.2. Vision Integration Examples
3.2. Format for metadata
3.4. Business model
4.1 Dissemination
4.3 Distribution
Marja Tammilehto-Luode