Data analysis for predictive
surveys is very similar to data analysis for passive surveys; it is
described in detail in the Analyzing Data – Passive and
Predictive Surveys chapter. In brief, you simply need to
select a visualization from the drop-down list on the toolbar.
However, in case of predictive surveys, you can also control
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.