Analysis
The original goal of this project was to create a relational
database to catalogue the artifacts and
features for Area A of the study site. Due to time constraints,
we only worked with features within
an 8m x 8m area. Once this information was collected and inputted
into the database it was then
displayed in various layouts and 3D views.
The ability to view and perform temporal (depth)
queries on these features was the primary
objective of the project. These queries would mainly be concerned
with trying to locate which
features are associated with the different soil layers, and identified
cultural horizons at the site. For
analysis purposes the post hole and pit features were extruded, using
3D Analyst, by their length
(average z_top minus average z_bottom). This method displayed these
features in 3D while
preserving their accurate width. This important when comparing
the temporal distribution of the
features with their spatial distribution.
Two types of ArcView projects were created with the
data, one that allows the user to display
and query all the features together (Fig. 1a, b &c), and one that
allows the user to display and query
feature types separately (Fig. 2a, b &c).
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Figure 1a, 1b, & 1c
Figures 1a, b and c are examples of the types of maps that can be
produced using all the
features.
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Figure 1a is a general 2D top view of all the features in the study
area.
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Figure 1b shows a temporal query of all polygon features in a 2D
view. Highlighted
are the features between average Z_top <= 99.17 m and average
z_bottom >= 98.61
m. This view is the traditional way a query like this could be
seen.
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Figure 1c shows the same query in Fig. 1b of all the polygon features
in a 3D view.
With the use of Arcviews 3D Analyst extension, results of temporal
queries can be
shown more effectively.
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Figure 2a, 2b, &2c
Figures 2a, b and c are examples of the types of maps that can be
produced using specified
feature types.
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Figure 2a is a general top view, 2D spatial map, of only the postholes
and burn
features.
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Figure 2b is a vertical 3D view of the features in Fig. 2a showing
a depth (time) scale
relative to the horizontal datum.
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Figure 2c shows a temporal query of the features in Fig. 2b, with
the highlighted
features located between average z_top<= 98.91 m and average z_bottom
>= 98.47
m.
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Figure 3
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Figure 3 shows the depth differences according to z points of all
soil layers which
were then interpolated into a TIN(110 minus z_top). All themes
within the 3D view
were extruded to the base surface of the TIN. Any new data can
be added according
to the above calculation.
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