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In-Depth Information
of visited mobile cells with the characteristics of personal temporal signatures
on these places. In addition, we implement the STKDE to analyze the conti-
nuous spatio-temporal density structure for the georeferenced phone call
activities and this technique can facilitate the identification of spatio-temporal
patterns. Furthermore, to understand the phone-call spatial interaction
structure, we introduce a novel 3D flow visualization approach of generating
vertical Bézier curves in the 3D-GIS environment which also support
interactive analysis of spatial information and thematic attributes.
Moreover, we have investigated different statistical measures
(I
st
, C
st
and
G
st
) which extended the classic spatial association indices for the spatio-
temporal autocorrelation analysis.
The spatial order of weighted matrix was found to have more significant
effects than the temporal neighbors on influencing the autocorrelation strength
of hourly phone-call volume across the whole study area.
The spatio-temporal analytical framework introduced in this paper can be
also applied in other spatio-temporal datasets (e.g., infectious diseases, crimes,
and GPS tracks) for facilitating knowledge discovery and decision support in
urban informatics and social sciences.
R
EFERENCES
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