Ha Pham, A. Ruas, and T. Libourel
More than half of the world population lives in
cities today. This proportion rises to 80% in developed countries. The
density of urban population causes environmental troubles such as noise,
urban heat waves, and chemical pollutions or magnetic pollution. Sensors
and models are used to improve knowledge related to these phenomena
particularly in cities. The aim of our research is to propose methods to
view these phenomena in contextualised ways and at different levels of
details. In the context of data exploration, we wish to generate from the
initial phenomena data other levels of detail to allow the visual
perception of the information at different visual scale. We also propose
symbols that resist as well as possible to scale change and without
excessive covering the other information such as streets, buildings or
names. The first solutions presented in this paper are implemented and
illustrated through two examples: nocturne temperature in Paris with very
sparse initial data and concentration of chlorine with very dense initial
data.
urban phenomena mapping, multi-scale, LoD, multiple representations,
generalization, interpolation, semiotics
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