Geodata of international countries with locals, municipalities and postal codes. Georeferences as UTM- and geographic coordinates (WGS84, ETRS89). Suitable for branch searches, periphery searches and distance computations. These countries are available: Albania, Andorra, Belgium, Bosnia, Bulgaria, Denmark, Estonia, Finland, France, Georgia, Gibraltar, Greece, Great Britain, Ireland, Italy, Ex Yugoslavia, Canada, Croatia, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Macedonia, Mexico, Moldavia, Monaco, Netherlands, Norway, Austria, Poland, Portugal, Romania, Russia, San Marino, Sweden, Switzerland, Slovakia, Slovenia, Spain, Czech Republic, Turkey, Ukraine, Hungary, Vatican, White Russia, USA, Australia, Cyprus and many more. The download contains a test composition of data cutouts of a lot of countries in different file formates and the exact data description. Here the available data fields of the tables are specified: National identification of the country, local identification for the place within the country, postal zip code, place name, local part name, local administrative identification (municipality key), geographical longitude and geographical latitude in degree and deg/min/sec notation, UTM easting and UTM northing on the natural and an uniformal meridian strip, local size (categories), local meaning (categories), 4 hierarchical administrative units, which are superordinate the place. First the data base tables are present in a standard file format (dBase, ASCII / OEM character set). They can be imported directly into MS-EXCEL, MS-ACCESS and in Borlands dBase. In addition the data base tables can be converted with the downloadable freeware program CONVERT into different data formats with the necessary characteristics, selections and sort sequences. For example you can convert the data into the SDF format (Simple Document Format) or into the CSV format (Comma Separated Value) using character sets ASCII / OEM or ANSI / WINDOWS or direct in MySQL.
Tags: Address , Calculation , Code , Coding , Coordinates , Correlation , Database , Distance , Geo , Geographic