CIPA 2003 XIX th International Symposium, 30 September - 04 October, 2003, Antalya, Turkey
model and GIS data model are considered together, the
requirement of a time and object oriented data structure occurs.
Hence, in the GIS data model of this study, each element of
analysis for each stratigraphic unit is handled as a single layer
and presented in vector format so as to allow accurate spatial
analysis. Raster data format is only used when an additional
image, such as scanned photos or inventory forms, are to be
hyperlinked to the geographical object or when only the
visualization of the image at the background of the vector data
is necessary. Thereupon, the data produced in each layer in
each AutoCAD file are transferred to a GIS project file (.apr) as
shape files (.shp) in connection with database files (.dbs), each
defining a geographical object with a unique spatial object
group definition and are added to the views as separate layers
called themes in ArcView 3.2. Different views are created for
topographical features, elements of analysis reflecting the
existing situation and those reflecting the urban form of
different historic periods, in which legend and theme properties
are defined, including minimum and maximum display scales
according to the level of geographical space. Even though they
can be presented in different views, the utilization of the same
projection and coordinate system for all the themes allow them
to be geographically referenced with each other. Just like the
vector data, raster-formatted images forming the background of
the spatial data, such as aerial photos, plans and drawings, are
also placed in their exact geographical position and saved in
georeferenced file format.
The other component of GIS data structure is the attribute data,
which are descriptive data stored in tables concerning the
geographical objects. Each geographical object belonging to a
layer is represented as a record, and each category of
information is represented as a field in the attribute tables. In
order to define the categories, the information types for the
study are defined. With the aim to inform identity, reveal
sensitivity and resolve continuity about the urban form and its
components, for this study, necessary information types are
defined as, information for identification, information for
characterizing historical stratification and information for
decision-making. Information for identification consists of
record number, type, name, address information, current legal
status and the sources of information concerning the element of
analysis. Drawings, photographs, legal documents like
registration and inventory forms concerning the element of
analysis also supplement information for identification when
necessary. Information for characterizing historical
stratification encompasses period of settlement / construction,
date of construction, provisional / known minimum and
maximum altitudes with respect to current ground level, and
geometric information concerning the element of analysis. Last
but not least is the information for decision-making, which is
the information required for conservation decisions and
described within the legal structure of the country in concern.
For the case of Turkey, even though the criteria for decision
making are not defined explicitly, laws, principles and decisions
made by the conservation councils reveal that information for
decision-making should cover position and perception, state of
survival and degree of knowledge on existence. Following the
constitution of GIS data model, the attribute data entry is made
for each geographical object as different records, as a result of
which the information system becomes ready for different data
manipulation and analysis functions.
2.1.3 Stratigraphic Correlation, Analysis and Evaluation:
Data Manipulation and Analysis: Stratigraphic correlation is
the direct outcome of geographically referenced data model
designed for Bergama. Hence, it is possible to visualize spatial
data both in time oriented correlation and in object oriented
correlation. Time oriented correlation allows visualization of
data in sequent snapshots model, whereas, object oriented
correlation allows visualization of relation between the same
elements of analysis in different periods. The stratigraphic
correlations are also visualized over the 3-dimensional digital
terrain model (DIM) with vectoral and image coverages (figure
2).
Figure 2. DTM of Bergama with vector coverages, which
represents the time oriented correlation of the
geographical objects belonging to urban form of
Hellenistic and Roman eras.
Stratigraphic analyses are realized through the spatial and
attribute data concerning geographical objects through the data
analysis and manipulation functions of GIS. There are mainly
three groups of analysis by using the three main operation types
of data analysis and manipulation functions. Those are:
• Overlay operation, which allows overlaying different
geographical objects to provide a new layer with new
attribute data table. In Bergama this analysis is carried on
for:
• Settled areas of different historic periods and existing
town as a result of which different sensitivity zones in
the contemporary town with different stratification and
different degrees of knowledge on existence, state of
survival, and position and perception are provided.
• Components of the urban form including the edifices
and street axis as a result of which streets, blocks and
edifices with different stratification options are
determined.
• Comparison and search operations, by which attributes of
geographical objects are compared with each other and the
ones fitting the defined criteria are selected among them. In
Bergama, there was a strict grid-iron system in Hellenistic
and Roman eras according to the specialists of these
periods. The angle of the assumed grid-iron system is still
traceable in the streets and built up areas of the
contemporary town, which may indicate material existence
or trace continuity and sensitivity concerning these periods
below the contemporary tissue. Hence, angles of street axes
and outlines of built up areas are analyzed through the
attribute data that store the angle information. Making an
allowance for possible deformations of the grid-iron system
in time, an angle range is defined which is then compared
with the angles of existing street axes and the built up area
outlines stored in attribute tables. The geographical objects
having outline or axis angles within the defined range are
selected and converted into a new theme as a result of this
analysis (figure 3).
• Connectivity and neighbourhood operations, which provide