David Muñoz Novoa, Benoit Beckers, Gonzalo Besuievsky, and
Gustavo Patow
In many applications, such as in urban physical
simulations or in the study of the effect of the solar impact at different
scales, models with different levels of detail are required. In this paper
we propose an efficient system for quickly computing the Sky View Factor
(SVF) for any point inside a large city. To do that, we embed the city into
a regular grid, and for each cell we select a subset of the geometry
consisting of a square area centered on the cell and including it. Then, we
remove the selected geometry from the city model and we project the rest
onto a panoramic image (in our case, the sides of a box). Later, when
several SVF evaluations are required, we only need to determine the cell
that the evaluation point belongs to, and compute the SVF with the cell's
geometry plus the environment map. To test our system, we perform several
evaluations inside a cell's area, and compare the results with the ground
truth SVF evaluation. Our results show the feasibility of the method and
its advantages when used for a large set of computations. We show that our
tool provides a way to handle the complexity of urban scale models, and
specifically to study the sensitivity of the geometry.
full paper
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