Work Package 2 - Geostatistics Marja Tammilehto-Luode

Work Package 2 - Geostatistics Objectives Tasks Organisation Timing Connections to other tasks Marja Tammilehto-Luode 2.1.2019

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 2.1.2019

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 2.1.2019

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 2.1.2019

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 2.1.2019

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 2.1.2019

Task 2.4 ? Examples - case studies Marja Tammilehto-Luode 2.1.2019

Task 2.4. Examples of using harmonised European population grid data 2.4.1. 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 2.1.2019

Marja Tammilehto-Luode 2.1.2019

? All members of EFGS as a reference group Participants of WP 2 ? All members of EFGS as a reference group Marja Tammilehto-Luode 2.1.2019

Timing of Work package 2 Marja Tammilehto-Luode 2.1.2019

Marja Tammilehto-Luode 2.1.2019

Major connections 1.1. Data specifications 2.1. Disaggergation 2.2 Aggregation 1.2. Vision 2.3. Integration 2.4. Examples 3.2. Format for metadata 3.4. Business model 4.1 Dissemination 4.3 Distribution Marja Tammilehto-Luode 2.1.2019