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Databases
of archaeological sites provide a huge amount of information
on the archaeological landscape. This information does not
only refer to the location of a site but also to exactness
of dating, number of reports and their temporal distribution
thus providing an important source for assessing the state
of the art in an archaeological perspective.
To analyse this information, each site is scored according
to formal aspects (location, dating etc.) as prescribed by
the data model of the database to which the information is
stored and weightened against the maximum possible score of
a site.
The spatial distribution of the scores is then analysed by
means of Geostatistics, spatial autocorrelation and Geographically
Weightened Regression (GWR) to provide an overview over the
knowledge of the archaeological landscape under investigation.
The paper will present a study of about 25 000 sites from
about 9 000 geographical units in Austria where information
is taken from the National Archaeological Survey conducted
by the Federal Commission on Historical Monuments, Vienna.
Aim of the study is to explain the local differences in knowledge
of Austria's archaeological landscape such determining regions
of poor archaeological provision.
Key words: GIS, spatial statistics
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