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Vector data have been provided by Shape project partners. "Shape Adriatic Atlas" administrators have harmonized all the data and their attributes in a unique layer covering the entire adriatic coast. The original data in Italy has been collected from ISPRA database, updated and integrated by Shape Project partners on the base of Port Authorities informations. EUROSTAT lineage statement: Port names and Locodes were mainly taken from the Eurostat list "Ports Estat 2009", or the UN/LOCODE 2007 list. Port regions were derived from Corine Land Cover 2000 vector version (CLC class "1.2.3") or EuroRegionalMap v3.0 (HarbourA class). Point location sources were, in decreasing order of preference:1. European Maritime Safety Agency (EMSA) list of ports by calls2. Lloyds MIU list of European ports3. GISCO Ports 2008 dataset (PORT_2008). This was derived from some of the same sources used for this dataset, plus Norie’s Seaports of the World list (in Norie’s Nautical Tables, Imray, 2007)4. UN/LOCODE 2007 list (UNECE, 2007)The point location may then have been moved inside a port polygon, inside the land polygon (GISCO CNTR_RG_100K_2006), inside a settlement polygon (STTL_RG_250K_V3) or made coincident with a settlement point (STTL_PT_V3).Port polygons within 200m of a STTL_RG_250K_V3 were named according to the settlement. The named port polygons were matched to port points within 1 arc minute based on name and coordinate coincidence (fuzzy matching), in order of source preference. Some named polygons not near a point were assigned Locodes by name match with the UN list. The unnamed port polygons were matched to points within 1 arc minute, considering the agreement between the different point sources. These steps created initial point and polygon datasets that were harmonised with each other. Port points were added from PORT_PT_2008, the EMSA dataset or the Estat 2009 list (where possible) where the Locode was not already represented, and these additional points were harmonised with nearby STTL_V3.Many of the processing steps included some manual matching, editing or checking steps to improve data quality. Reference sources used included port organisation websites, online port lists, and aerial imagery. The busiest 60 ports according to the "EU Energy and Transport in Figures: Statistical Pocketbook 2009" were visually checked against input and reference sources. Effort was also focussed on Eurostat statistical ports. All matching steps included manual checks of join tables or the spatial data to help overcome naming or conceptual differences between sources. Some expected errors were manually fixed.LOCD_STTS_CODE port attributes derived from UN/LOCODE 2007, and LOCD_STTS_DOM table copied from the StatusIndicator table of the UN database. PORT_COOR_RELI_CODE positional reliability attributes were calculated for port points based on the process for reaching the final point coordinate. PORT_LOCD_RELI_CODE attributes were derived depending on the port’s proximity to settlement features that verify the port name (and hence Locode). TEN_CODE and PROC_TEN_CODE attributes provided by GISCO. STAT_PORT_CODE and REMK are Eurostat attributes from the "Ports Estat 2009" list.REPUBLIC OF CROATIA ISTRIAN REGION lineage: Data is provided by Republic of Croatia Istrian Region, Shapefile contains points representing ports and harbours in Istrian Region of the Republic of Croatia. Each point contains information on type of port/harbour (Type 2). Data is provided by Istrian Region. Typology of ports and harbors (Type 1)was extracted from "Pagine Azzurre Online" - nautical chart classification (October, 2013) and supplemented with information from IMO Global Integrated Shipping Information System site and United Nations Code for Trade and Transport Locations (UN/LOCODE).

This layer is provided through the Adriatic Altas of SHAPE project: http://atlas.shape-ipaproject.eu/

Additional information:
http://atlas.shape-ipaproject.eu/shape/getMetadata.php?LAYER=bs_port_and_harbour_pt