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For the area of the Federal Republic of Germany more than 19 million House Coordinates with a coverage of 100% are available. The geo data offered here are in high-precision quality and are present in different coordinate and reference systems. House Coordinates are the cartographically representable positions of buildings, which are defined by their postal addresses. They are also called "Geo Coded Building Addresses". The House Coordinates are the basis for applications, which are developed to assign building's exact positions. The possible field of application is very various. So e.g. own address lists can be enriched with geo references and visualized on suitable map material. The application scope reaches from information systems over navigation services, geo marketing, telecommunications and UTMS based services up to Web applications and tasks of the power authorities and security services. Another point of interest can be the establishing relationships between data derived from different hierarchies and levels. For example, it could be desirable to know to which federal state, administrative district and city a building belongs to. The coordinates of the buildings are present as geographic coordinates, UTM coordinates and Gauss Kruger coordinates. Geographical coordinates in degree notation are particularly suitable well for searches with Google Earth. Here is as an example an Internet URL with coordinates from the "Geo Data German Houses", which can represent the location of Killet Software Ing.-GbR point-exactly: "http://maps.google.com/maps?t=k&ll=51.397363,6.450883&spn=0.002,0.002". The first value behind the identifier "ll" (lat / lon) is the geographical latitude, then the geographical longitude follows. The shown URL can be inserted directly into the address field of the browser to represent a map cutout on the screen.
Program system requirements: All systems
New in this version: New test data of all Federal States of Germany. UTM coordinates on the natural and on a uniform country central meridian strip available. Designations of the data fields internationalized.
