1. WORKING GROUP MEETING - INTEGRATION OF STATISTICAL AND GEOSPATIAL INFORMATION
A reusable WebGIS application and a geospatial database schema for EU country comparisons
Grant agreement number –
Action: MERGING STATISTICS AND GEOSPATIAL INFORMATION
IN MEMBER STATES
Pina G. Ticca and Anna Pia Mirto
Istat – Italy
17 April Luxembourg

2. The web gis application
Summary
The web gis application
Grant Project
UE Coast: the web GIS application
Objective, methodology and technical functionalities
Future development: re-use of experiences for the integration and lessons learnt

3. Istat organisation Grant Objective Istat GRANT
The project rises from the collaboration between different Italian National Statistical Institute (Istat) Departments: Regional office for Sicily and Territorial and IT Directorate that have participated to a EU Grant launched in 2016 on “Merging statistics and geospatial information”.
Grant Objective
Implementation of innovative visualization systems to develop a model for integrating statistical and geographical information on EU coastal countries bordering the Mediterranean Sea and, in a second step, enlarging the prototype to all the European countries.

4. Four interactive independent MAP panels
UE Coast: the web GIS application
Four interactive independent MAP panels
Thematic Geographical Historical comparability

5. Sources and Methodologies
Istat GRANT
Gistat templates
Application is based on Gistat, Istat Geographic Information System for Statistics. it is composed up to 4 interactive independent map panels.
Sources and Methodologies
Geographical data are referred to NUTS 2 and 3 level, coastal areas according to the availability of time series concern different thematic areas: tourism, environment, transportation, population, economic growth, social inclusion and education, indicators are selected by DB Region and Census Hub Eurostat Databases.

6. 4. Development of prototype
Steps
1.Dominia definition
Territorial area, thematisms and temporal reference
2. Selection of sources
Selection and calculation
of Indicators
3. Map creation
Structure and functionality application
4. Development of prototype
5. Project extension
Litteracy and dissemination of the project

7. SUSTAINIBLE DEVELOPMNET
Key indicators belonging to UE Coast Med thematic areas according to EU Policies
COHESION POLICY
Environment, Transportation, Poverty, Labour Market
EUROPE 2020
Labour Market, Education, Poverty, Economical Account
SUSTAINIBLE DEVELOPMNET
Environment, Labour Market, Education, Poverty
MARITIME POLICIES
Demography, Tourism, Transportation, Labour Market

8. THEMATIC AREA INDICATORS YEARS GEOGRAPHICAL AREA EUROSTAT SOURCE
Tourism
Net Occupancy Rate of Bedrooms (%)
Night spents per residents
Arrivals per residents
Receptive accommodations  
NUTS 2
Db Regio – Tourism
Transportation
Air transport of passengers – Departures
Air transport of passengers – Arrivals
Passenger cars per inhabitants
Maritime transport of passenger per in. – Departures
Maritime transport of passengers per in. – Arrivals  
Db Regio – Transport
Environment
Soil erosion by water (tonnes per hectare)
Waste generated per capita (kg per inhabitants)
NUTS 3
DB Regio –Environment and Energy
Education and Labour
Young people neither in employment nor in education and training (%)
Employment rates from 15 to 64 years
Unemployment rates 15 years or over  
DB Regio – Labour Market and Education
Social Inclusion
Medics per hundred thousand inhabitants
Available beds in hospitals per hundred thousand inhabitants
People at risk of poverty or social exclusion (%)
DB Regio – Health care resources, Income and living condition
Economic Development
Gross domestic product (GDP) at current market prices
Local units
DB Regio – Economic account, SBS
Population
Proportion of population aged 65 years and more
Proportion of population less than 15 years
Proportion of buildings since 2001
Proportion of foreign people
 2011
2011
Census Hub

9. Types of metadata represented on EU Coast application
General Metadata
Thematic Area
Survey main characteristics of EU country system
Legislative reference: Directive and Regulation
Link to EUROSTAT site
Indicator Metadata
Defintion
Unit of measure
Geographical Metadata for every cell
Alert e notes: provisional, estimated,...
Territorial area
NUTS_ID
Link to Meta information
Representation Metadata
Classification system
Legenda

10. UE Coast: the web GIS application
- Based on GISTAT, Istat GIS for statistics
- GIS ETL procedures to transform and harmonize the data
- A GeoData model to publish WebMapServices optimized to be consumed by WebGIS apps
- A metadata template site used and customized to provide documentation information
- Localization to English implemented

11. UE Coast: the web GIS application
Example of users Navigation and Interaction
the users can interact with the application choosing the statistical indicators, the year of reference and the territorial level of analysis
GIS tools such as pan, zoom, objects click,…available

12. The re-use of experiences for the integration
- Statistical data chosen are serialised in years and the GDB schema is based on that time units
- In the GDB geographical entities are defined and stored by year
- The relationships to the blocks of indicators are based on the yearly keys of statistical data

13. The re-use of experiences for the integration
- The reuse of experiences, data models, web apps templates has been promoted to reduce the preparation and the maintenance steps
- The reuse of a data model designed to link statistical and geographic data
- The data model is suitable to design and publish WebMapServices optimized to be consumed by WebGIS applications
- The reuse of WebGIS applications templates oriented to the dissemination of georeferenced statistical information

14. CRITICAL ISSUES
Indicator selection: according to qualitative criteria, time, coverage, available metadata, EU relevance.
Class breakdown: statistical criteria chosen on the basis of frequency distribution (Natural break, Standard Deviation, Quantile, Equal Interval, Defined and Geometric Interval
Coastal areas according to different NUTS classifications

15. Future perspectives: re-usability
Within the same country (by NUTS and LAU)
With other thematic data (for ex. Census on PA and non profit institutions)
Comparison by 2,3, 4 areas with/without benchmark ……
Project reusability

16. GRANT: opportunities and lessons learnt
Functionality
The success in setup a re-usable geospatial workflow for Istat (less time, more functions,…)
Human resources
Team integration of statistical researchers and GIS people inside Istat
Training for sharing knowledge and re-usability
Database
Updating time series and territories has been a re-use

17. Thanks for your attention
References
Poster ” Gistat-ConfrontaCoste. Un’applicazione GIS per le coste dei Paesi UE”, XII Conferenza nazionale di statistica “Più forza ai dati: un valore per il paese”, Roma, june 2016,
Poster “Integrating statistical and geospatial information for EU coastal Mediterranean countries”, European Forum for Geography and Statistics (EFGS 2017), Dublino, november 2017,
Paper “The Experience of reusing WebGIS application templates applied to the integration of statistical and geospatial information”, UNECE/UN-GGIM Workshop on Integrating Geospatial and Statistical Standards, Stoccolma, november 2917,
Dissemination of prototype UE Coast Istat website, february 2018.
Thanks for your attention