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Spatial-temporal Data Mining
Spatial-temporal data mining
involves
extracting meaningful patterns
and
knowledge from data
that has both spatial and
temporal dimensions
, enabling
insights into phenomena
that
change over space and time
. This field is crucial for applications such as
climate change analysis
, urban planning, and
transportation management
, where understanding the
dynamics of data
in both space and time is essential.
Relevant Degrees
Data Management and Processing 40%
Database Structures 30%
Probability and Statistics 20%
Kinds and Techniques of Geographical Exploration 10%
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