9:05-09:15 Introduction to the role of INSPIRE and JRC and Digital ...inspire.ec.europa.eu ›...
Transcript of 9:05-09:15 Introduction to the role of INSPIRE and JRC and Digital ...inspire.ec.europa.eu ›...
9:00-9:05 Welcome and introductionsVanda Nunes de Lima, DG JRC
9:05-09:15 Introduction to the role of INSPIRE and JRC and Digital Earth & Reference Data Unit in the health, safety and the environment domainsJiri Hradec, DG JRC
9:15-9:40 EU Health Information System: Linking environmental geodatawith health data and added value for policy and researchStefan Schreck, DG SANCO
9:40-10:00 Risk assessment toolboxes and spatial dimensionHai-Ying Liu, NILU (NO)
10:00-10:30 INSPIRE data, tools and people available to health communityRound table and discussion
www.jrc.ec.europa.eu
Serving societyStimulating innovationSupporting legislation
Expanding horizons: INSPIRE in the health and the environment domain
Vanda Lima, Jiri Hradec
Why Europe needs a spatial data infrastructure (SDI)?• Natural Disasters and as well as
other environmental phenomena do not stop at national borders!
• 20% of the EU citizens (115 million) live within50 Km from a border
• 70% of all fresh water bodies in Europe are part of a trans-boundary river basin !!
INSPIRE Directive
Cross-sector data interoperability
EL:Elevation
BU:BuildingsSO:Soil
PF:Production and industrial facilities
AF:Agricultural and aquaculture facilities
ER:Energy Resources
HB:Habitats and biotopes
SD:Species distribution
AM:Area management/ restriction/ regulation zones & reporting units
PD: Population Distribution
US: Utilities and Governmental Services (Waste Management)
Urban Planning
Waste Management Plans
Environmental Impact Assessment
Risk Management
…
PRTR
SEVESO
Waste
INSPIRE dataData from
other sectors
A collaborative effort• Transparency and
inclusiveness • Stakeholder consultations • Support to Member States on
the implementation• Extend INSPIRE to and ensure
consistency of different policy domains
• Promote INSPIRE in international standardisation
Conceptual data models Registers
• objects types, properties & relationships
• cross-domain harmonization
• based on a common modellingframework
• managed in a common UML repository
Harmonised vocabularies
• achieve better interoperability than free-text and/or multi-lingual content
• allow additional terms from local vocabularies
• 400 code lists & almost 5000 values in central register
Encoding
• conceptual models independent of concrete encodings
• standard encoding: GML, but also possible to derive other encodings (e.g. based on RDF)
• provide unique and persistent identifiers for reference to resources
• allow their consistent management and versioning
Key pillars of data interoperability
INSPIRE thematic scopeAnnex I1. Coordinate reference
systems2. Geographical grid systems3. Geographical names4. Administrative units5. Addresses6. Cadastral parcels7. Transport networks8. Hydrography9. Protected sites
Annex II1. Elevation2. Land cover3. Ortho-imagery4. Geology
Annex III1. Statistical units2. Buildings3. Soil4. Land use5. Human health and safety6. Utility and governmental
services7. Environmental monitoring
facilities8. Production and industrial
facilities9. Agricultural and
aquaculture facilities10.Population distribution –
demography
11. Area management/ restriction/regulation zones & reporting units
12. Natural risk zones13. Atmospheric conditions14. Meteorological
geographical features15. Oceanographic
geographical features16. Sea regions17. Bio-geographical regions18. Habitats and biotopes19. Species distribution20. Energy Resources21. Mineral resources
Implementation 2012/2017
Implementation 2015/2020
Administrative Units (AU)
• Definition Units of administration, dividing areas where Member
States have and/or exercise jurisdictional rights, for local, regional and national governance, separated by administrative boundaries
• Overview description Each national territory is divided into administrative
units. The administrative units are separated by administrative boundaries. Administrative units and administrative boundaries form a partition of space. According to user requirements it can be distinguished between land and (coastal) water parts of administrative units
Data specifications examples
Package: Administrative Units
Administrative Boundary
Administrative Unit
Condominium
Administrative Units (AU)
Layers for the data theme AU
Statistical Units (SU)
• Definition: Unit for dissemination or use of statistical information. In: The unit + the way to refer to it Out: The statistical data
• Statistical grids• Vector statistical units
Geographical Grid Systems (GGS)
• Definition: Harmonised multi-resolution grid with a common point of origin and standardisedlocation and size of grid cells.
• INSPIRE data specification do not provide a data model for all grids, but describe a candidate grid instance projected to be used for Pan-European applications.
• Workshop on European ReferenceGrids in Ispra, 27-29 October 2003 http://www.ec-gis.org/sdi/publist/pdfs/
annoni-etal2003eur.pdf
Population distribution (PD)
• Definition: Geographical distribution of people, including population characteristics and activity levels, aggregated by grid, region, administrative unit or other analytical unit
• Spatial representation fully based on statistical units theme no new spatial feature introduced in PD
Health statistical data
• Based on statistical units( SU) Diseases General health status Biomarker Health services NB: Health care
services US(GovernmentalService)
• Based on ICD and COD standards
Health determinants
• Raw measurements based on ISO 19103
• Models for noise, air and water quality (based on EIONET)
• Can be extended for other health determinants
• Aggregated measures based on statistical units
• Continuous coverages based on ISO 19123
Safety (not in IR)
• Accidents happening somewhere Traffic accidents Natural hazard accidents Hazardous material related events Fire or explosion Etc.
• Location: Can be another INSPIRE object (AU, etc.) or on a network
• Hierarchical structure (major accident composed of other accidents)
• Chain of consequences• Description: Date of event, Gravity, casualities
Additional models
• Base types for referring to documents and legal
acts thematic identifiers
• Common base model for activity complexes used in AF, PF, US
• Zoned geographical grid
• Maritime units and boundaries
What INSPIRE already has in common with H/E
Data discovery and increased availability
Take home messages
• INSPIRE provides a comprehensive framework for interoperability of spatial data inventory data & service sharing data & service discovery network services data interoperability
• INSPIRE data can be combined with other data to enable cross-sector & cross-border “location-aware” analyses
• INSPIRE is a highly scalable infrastructure waiting to be just used by other Commission services.
Where INSPIRE can be of use to DG SANCO
• INSPIRE-enabled registers of DG SANCO Data Inventory system individual registers, e.g. pesticide register
• INSPIRE-compliant reporting Animal and Plant Health Package Data collection by the EFSA, CHAFEA, EMA, ECDC, CPVO
• Risk assessment and modelling incorporating (also environmental) spatial data and services.
• Geoportals, geoapplications, visualisations
Where INSPIRE can be of use to DG SANCO
• Innovation and co-development (MIDAS, IPCHem, WFD/WISE)
• Demand driven MS networking• Risk assessment ready data discovery and
availability• Interoperable data across different domains
(statistics/environment/national governmentalservices…)
• Example of ECDC (disease vectors)
What JRC IES DERDU (H.06) seeks
• Identification of DG SANCO needs and requirements regarding spatial data interoperability Reporting, data publishing, applications
• Sharing of best practices for data interoperability/harmonisation exercises
• DG SANCO spatial data in INSPIRE infrastructure if possible
www.jrc.ec.europa.eu
Serving societyStimulating innovationSupporting legislation
Invitation to a training and action planner
Introduction to INSPIRE
17 June 2014 14:00 auditorium 7