GIS in ISTAT (National Institute of Statistics) DCIQ – DIQR - INT ESTP course on Geographic Information Systems (GIS): Use of GIS for making statistics in a production environment Statistics Norway, Oslo, 26th to 30th of March 2012 Name Stefano Mugnoli Title Dr Position Researcher Employer ISTAT Street address Via dell’Oceano Pacifico 171 Post address, City, Country 00144, Rome Italy Tel : / Attribution (by) Licensees may copy, distribute, display and perform the work and make derivative works based on it only if they give the author or licensor the credits in the manner specified by these. Name Raffaella Chiocchini Title Dr Position Researcher Employer ISTAT Street address Via dell’Oceano Pacifico 171 Post address, City, Country 00144, Rome Italy Tel : /

Essential Information Attribution (by) Licensees may copy, distribute, display and perform the work and make derivative works based on it only if they give the author or licensor the credits in the manner specified by these. The Italian National Institute of Statistics is a public research organization. It has been present in Italy since 1926, and is the main producer of official statistics in the service of citizens and policy-makers. Since 1989 Istat has been performing the role of directing, coordinating, and providing technical assistance and training within the National Statistical System (Sistan).National Statistical System SW: ESRI ARC/INFO, ARCMAP

GIS in ISTAT Attribution (by) Licensees may copy, distribute, display and perform the work and make derivative works based on it only if they give the author or licensor the credits in the manner specified by these. GIS are used mainly:  to produce Census geographical data (since 1990);  to integrate Census parcels & other GEODB data (i.e AGEA, LUCAS, Corine) to produce thematic maps;  to produce a sort of ‘statistics maps’ that comes from the integration of data between census parcels & census data;  to upgrade italian administrative boundaries (communes, provinces, regions);  Geocoding address administrative records & Point of Interest.  to calculate distance matrix  INT service is consisting of 30 people

Some examples (ISTAT data) Attribution (by) Licensees may copy, distribute, display and perform the work and make derivative works based on it only if they give the author or licensor the credits in the manner specified by these. Census parcels In urban areas ISTAT Census data attribute could represent one of the most important source of information to produce statistics

Some examples Attribution (by) Licensees may copy, distribute, display and perform the work and make derivative works based on it only if they give the author or licensor the credits in the manner specified by these. AGEA & ISTAT data integration to produce a Statistics Land Cover Map

Attribution (by) Licensees may copy, distribute, display and perform the work and make derivative works based on it only if they give the author or licensor the credits in the manner specified by these. Geocoding address and Point of Interest The process of geocodind address consists of: -Acquisition of some administrative address data records coming from Public Institution address archieves; - Normalization of address records with sotftware to produce an output file with geographic coordinates; - georeferencing data and producing a shp output file The georeferenced infrastructural data are: -Airports; -Ports; -Primary and secondary school; -Hospitals; -University; -Railways stations; -Historical and cultural sites; -Public libraries.

Attribution (by) Licensees may copy, distribute, display and perform the work and make derivative works based on it only if they give the author or licensor the credits in the manner specified by these. Distance matrix Distance matrix are calculated with GIS on grapho vector dataset that represent the Italian network viability by car. These data are calculated in Kilometres and in minutes (drivetime) and can be used in many institutional project. Distance euclidean matrix too is used to populate many statistical model that are used to calculate accessibility and peripherality indicator and some indicator that have many application in Statistics for Rural Areas.