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Figure 8 - Dating precision
3.5 Selection by location
This type of query allows the selection of different entities
which are on different layers of the G.I.S.
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modified or destroyed. In some cases the same building, or
road, is mentioned in more than a document by using
different name but other information seem to demonstrate the
coincidence between the different objects described.
In order to help the archaeologies to solve the correct
identification of the elements, each information, also the less
meaningful ones (names of the sites, etc.), has been recorded
in a separate structure of the database.
A specific algorithm has been developed in order to merge in
an appropriate way all the acquired information about an
object (e.g. a building, a road, a site, etc.) and to visualize the
areas of different location likelihood.
The specialist can choose, between all the selected areas the
more interesting in order to make deeper investigations.
4. PHOTO INTERPRETATION, REMOTE SENSING
AND FIELD SURVEYS
After the relational database structure design and
implementation, the second step consisted in an
archaeological survey, aimed to find out and locate all the
structures mentioned in bibliographical sources. For almost
everyone of these structures was extremely difficult to find
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Figure 9 - Select by location of the quartz mines in a
village coherent with geology information
The selection can be done by intersection (e.g. the selection
of an area crossed by a line), distance (e.g. the selection of al
the entities with a fixed distance from a specified element),
pattern (e.g. the selection of the entities completely enclosed
in a different entity), superimposition (e.g. the section of the
entities completely superimposed on other entities or which
have line or point shared with other entities).
A common application in the project has been the control of
the material extracted form the mines and the geology of the
area. Thanks to archaeological field survey we has been able
to analyze the materials and to assume where were the mines
they came from. The pattern analysis made by merging the
document information and the actual geology confirmed or
disproved the conjecture
Another interesting application of the selection by location
has been the selection of the building which could be used for
activities needing water (see fig. 10): only the buildings far
less than an appropriate distance can accomplish this
hypothesis.
3.6 Location likelihood
One of the more difficult parts of the research has been the
correct localisation of the sites and buildings mentioned by
the documents.
For examples, many buildings are well preserved and still
used, but in many cases the building has been completely
□ %
Figure 10 — Selection by location of buildings with a distance
form the river less than 50, 150, 200 and 250 m
out the geospatial location. Sometime very precise details
have been extracted from the documents but it was not
possible to geo-referencing them by points on cartographic
maps. Sometimes it was also possible to guess the area where
the structure were probably located (see par. 3.6)
In these cases, the data have been stored waiting for more
accurate information (e.g. deriving by field survey) and G.I.S.