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Data analysis for predictive models is very similar to data
analysis for passive surveys; it is described in detail in
the
Analyzing Data –
Passive Surveys and Predictive Models
chapter. In brief, you simply need to select a visualization from
the drop-down list on the toolbar. However, in case of predictive
models, you can also control the
Visualization quality
by using the corresponding control on the tool bar. Visualization
quality is an important parameter that defines how precise the
calculations are. High-precision calculations come at a cost: the
higher the precision, the longer the computation time. The
application offers four quality presets:
Low,
Medium,
Good,
and
Best.
They differ in grid size and in applying advanced RF propagation
effects, such as reflection and Fresnel zones. We suggest that you
use
low
or
medium
visualization quality while you design your WLAN and make
adjustments to your design. When the design is ready, you can
use
good
or
best
visualization quality for the final verification and/or report
generation.
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