Chair: Janusz Dygaszewicz
Room: S4B Lajkonik
Time: 14:30 - 16:00
Date: 28 June
Session 9 - papers & presentations
| Presenting Author | Abstract |
|---|---|
| Valeriya Angelova Tosheva e-mail: Valeriya.ANGELOVA-TOSHEVA@ec.europa.eu | Title: <<< How geospatial information adds value to existing sub-national data and territorial typologies >>> The mission of Eurostat is to provide high-quality statistics for Europe to e.g. support policy decisions. In line with a service oriented offering the regional statistics and geographical information team is providing methodological support to policy-makers, researchers and the general public to better understand the existing data but also offering new ways of meeting data requirements in an innovative and flexible manner. Within Eurostat, GISCO is responsible for meeting the European Commission's geographical information needs. Statistics in GIS environment makes it possible to process, store, analyse, aggregate and integrate different data sources with the final aim to visualize and support policy decisions. Additional, it allows to produce unique sub-national indicators that are out of the scope of the existing at Eurostat and the National Statistical Institutes data collections. Thereby, GIS enables a transformation of data available by official territorial typologies into data by a customised territorial type. This paper describes two recent examples from the Eurostat's everyday practice of how geospatial information has been used in order to satisfy data requests. We show how for Directorate General for Agriculture and Rural Development (DG AGRI) the number of schools, kindergartens, post offices, sport clubs and bars as social meeting points in individual rural regions per 100 000 inhabitants have been derived. Second, how for the Directorate General for Maritime Affairs and Fisheries (DG MARE) various demographics and socio-economic data by maritime ports in Europe have been derived. Geospatial information proved essential to support policy decisions in the impact assessment of the Common Agricultural Policy domain as well as providing reliable statistical estimates for the blue growth. |
| Włodzimierz Okrasa e-mail: wlodek.okrasa@wanadoo.fr | Title: <<< Communictation as a Quality Factor in Multi-source Spatial Data Integration Process. >>> The two-fold goal of the proposed presentation - Communication as a Quality Factor in Multi-source Spatial Data Integration Process - is (first) to explore and systematize the quality-related issues arising specifically in the context of work with spatial / geo-referenced data, and (second) to recognize and discuss the role of communication within the statistical process and, subsequently, in constructing an analytical (multi-source) database through integration of data from different sources. The main focus will be on integrating survey and administrative data for the purpose of multi-level spatial modeling of community well-being and subjective (individual) well-being, toward a general methodological framework of 'spatially integrated statistical research'. With 'horizontal' - across space - and 'vertical' - across different types of units, like persons or households and local communities -dimensions of producing and linking/matching the geo-referenced data, taking an evaluation-oriented policy analysis perspective. Communication is then understood both as an intra-statistical and between data producers and data users occurrence, including methodological (error -reduction) and institutional (e. g. 'statistical knowledge' communication) procedures, remaining basically under responsibility of the official statistics. Since modeling relationships (interaction and influence) between community well-being and individual (household) well-being provides most of the challenges associated with multi-level analysis (modeling) of spatially dependent phenomena, this problem will constitute the main part of the empirical demonstration of the proposed 'better communication for better quality' approach. |
| Karin Hedeklint e-mail: karin.hedeklint@scb.se | Title: <<< GEOSTAT 3 – A European Statistical Geospatial Framework >>> Members of the ESS (European Statistical System) are currently seeking to collectively modernise their statistical production systems, to transform their operations and to derive new relevant metrics and indicators. This modernisation process involves an ambition to level up integration of geospatial information in statistical production. One of the main goals of the GEOSTAT 3 project is to develop a European Statistical Geospatial Framework (ESGF), building on the principles of the Global Statistical Geospatial Framework (GSGF). The development of an ESGF is believed to be an important step towards a better and more coordinated integration of statistical and geospatial information. The ultimate objective of the ESGF is to increase resource efficiency, to obtain a higher degree of harmonisation between countries and to support creation of a more flexible statistical production. Whereas the Global Statistical Geospatial Framework is a high-level framework consisting of five generic principles broad enough to apply to any region around the globe, the ESGF aims to be a tighter framework reflecting the specific European situation. It will build on the major achievement already been done for the availability of geospatial information through the INSPIRE directive and the Spatial Data Infrastructures set up by Member States. The GEOSTAT 3 project runs until the end of 2018, but for the 2018 Quality conference, a presentation will be made on the key-elements of the framework as proposed by the project. |