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Table 11.1
Data sources and representation of assessed time horizons as regards area
Year
Pixels (n)
Pixels (f %)
Pixels (F %)
Basic data source
1750
28
1.65
1.65
Old map (I. military mapping)
1850
6
0.35
2.01
Old map (II. military mapping)
1964
374
22.10
24.11
Aerial photo
2000
417
24.65
48.76
Aerial photo
Future
867
51.24
100.00
Strategic plan of development
Years of first two sources are approximated to horizons for other statistical assessments.
The actual statistical analysis was performed by means of map algebra where for
various intervals of the selected factor and also for time horizons of construction
development we allocated values (weights) by means of the simple mathematic pro-
cessing of which it is possible to express a unique resulting value for representation
of each of the factors in the construction in the particular time horizon.
The results of geostatistical analysis of connection of the spatial development of
the town with the selected natural and socio-geographic factors and conditions are
represented in the graphs in Fig. 11.1 and they show changes of dependence of the
location within the scope of the assessed time horizons.
The results divide the regional development of the model settlement into two
longer stages. In the first stage (1750 and 1850) the construction is mostly localised
in two or maximum three intervals of the relevant factor, while in the second stage
represented by the time horizons of 1964, 2000 and Future, the range of intervals
is wider. However, the width of interval range does not mean here a simple trend
towards disadvantageous conditions (e.g. steep slopes). Its reason is rather less con-
centrated regional development in more directions with different conditions. An
example is the condition (criterion) of distance from water courses (DWC), where in
the first stage the intervals of 0-200 and 201-400 m prevail, and water courses are an
important localisation factor for development (both residential and economic). On
the contrary, in the second stage of development, in accordance with the decreasing
importance of the natural localisation factor, which is quite a typical feature of tran-
sition to the post-industrial period, the development is situated in all intervals (max.
1.001-1.200 m). Even more distinct heterogeneity of the range of assessment crite-
ria intervals can then be seen as regards distance from railway (DRW) and distance
from the historic centre (DHC).
11.2.5 From Reconstructive Geovisualisation Towards Landscape
Scenarios
Spatial data visualisation (SDV), sometimes also called geographic visualisation
(or geovisualisation) is part of every study focused on geography. The method of
urban landscape reconstruction was discussed in previous works by the authors
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