European Monitoring Platform for Mapping of QoS and QoE March 1st 2016 QoS /QoE Data collection & Provision of results Stefania Morrone www.epsilon-italia.it

Outline INSPIRE in pills INSPIRE management of Statistical Data The OGC TJS standard TJS + INSPIRE Statistical Units QoS / QoE mapping: the INSPIRE + TJS solution Mapping of the telecom infrastructure: successful experiences with INSPIRE – extended US theme

INSPIRE in pills What: Why: How to hit the target: INSPIRE is a European Directive, entered into force in 2007, establishing an INfrastructure for SPatial InfoRmation in Europe. Why: The aim of INSPIRE is to make environmental data easily discoverable, accessible and interoperable to support European policies and activities which may have an impact on the environment. How to hit the target: Adopting commonly agreed models to describe and share information.

Monitoring & Reporting INSPIRE in pills Implementing Rules addressing the following components of the infrastructure have been specified: Metadata Datasets Data Services Data & Service Sharing Monitoring & Reporting Annex I discovery Annex II view Annex III download transform Invoke (SDS) INSPIRE Implementing Rules are binding for all public environmental data management activities

INSPIRE in pills What Member States must implement: INSPIRE Implementing Rules (IR) How Member States might implement it : INSPIRE Data Specifications – Technical Guidelines for the Annex I, II and III Spatial Data Themes and Technical Guidelines for INSPIRE Spatial Data Services TG also contain additional requirements and recommendations that, although not included in the IR, are relevant to guarantee or to increase data interoperability. Following TG recommendations as much as possible is in practice the best way to reach interoperability.

INSPIRE Statistical Units Data Theme and the management of Statistical Data Definitions: Statistical data: any numerical representation of a phenomenon. Statistical unit : informs on the Statistical data location. Principles: Statistical Units are given stable identifiers, which are built according to commonly agreed rules Statistical data refers to statistical units through their common identifier, e.g. NUTS codes. Aim: INSPIRE aims at improving the integration of spatial and statistic analyses. Linking statistical data to spatial object is more than only linking a database object to another one. The challenge is to improve the interaction between the statistics and the GIS worlds. The result of the integration of spatial and statistic analyses makes the treasure of statistical data available for the GIS world in context of a spatial data infrastructure of the administration. integration of spatial and statistic analyses to make QoS and QoE statistical data available for the GIS world is as well the aim of this broadmapping project so INSPIRE can be definitely of help.

QoS and QoE mapping: which data model? “Classical” INSPIRE-based data model “ Better performing “data model INSPIRE SU + INSPIRE PD INSPIRE SU + OGC TJS INSPIRE Statistical data representation is handled in the Data Specification on Population Distribution – TG

What is TJS? The Table Joining Service (TJS) is an OGC standard that defines how to join attribute data to its associated geographic framework, or framework data. Attribute data refers to data that can be mapped, but is not directly attached to and bundled with geographic coordinates. Attribute data uses an identifier, found in a framework key field, to indicate the geographic feature to which it applies. Framework data refers to data that describes the positioning on the surface of the earth of a set of geographic features such as countries. Framework data must include a framework key field, an identifier that allows attribute data to be attached to an individual geographic feature. TJS offers a simple web-based method of finding, accessing, and using attribute data from multiple sources dynamically, in order to populate databases, perform analyses, and/or make maps. All TJS operations create or use XML documents based on GDAS encoding

GDAS: the Geographic Data Attribute Set encoding "GDAS“ - Geographic Data Attribute Set -is an XML encoding, it contains XML elements needed to describe a spatial framework.

INSPIRE + TJS Annex D of the INSPIRE Data Specification for the Statistical Units theme already foresees the use of TJS services for INSPIRE

QoS / QoE mapping: the INSPIRE + TJS solution

TJS implementation and available software Health data from environmental, health and statistical agencies have been linked to administrative units and statistical units. Output: WMS, WFS (GeoJSON, GML) Eurostat’s health statistics (>300 tables) Input : SDMX REST API TJS EuroboundaryMap Input: WFS

The implementation for health statistics

TJS implementation and available software The Oskari client could useTJS to create joins of statistical data with geographic data. The result is a WMS layer + WFS featuretype containing both the geographical data and the statistical data. Find an example on how to join statistical data from Eurostat to a NUTS2 dataset at https://bitbucket.org/thijsbrentjens/geoservertjs/wiki/TJS%20in%20Oskari. Eurostat offers an REST API to get SDMX data. SDMX is an XML encoding for statistical data TJS plugin available on GitHub: https://github.com/thijsbrentjens/geoserver/tree/tjs_ 2.2.x/

Mapping of the telecom infrastructure INSPIRE Data Specification on Utility and Government Services (US) Utility Networks Profile: is based on a node-arc-node structure and network concept information is detailed in : one “Common Utility Networks Elements” application schema, that contains all the common elements shared among the different utility network type six network - specific application schemas Electricity network Oil, Gas & Chemicals network Sewer network Telecommunications network (only proposed in the technical guidance, out of legislation) Thermal network Water network

INSPIRE US implementation INSPIRE Utility Networks data model used in the management of the Smart Cities.

the GeoSmartCity US data model: an extension to INSPIRE US data model

THANK YOU Stefania Morrone, s.morrone@epsilon-italia.it Updated video-tutorial on INSPIRE? Follow playlist «INSPIRE in pills» on @EpsilonItaliasrl