EAN: 9783540259947

EXPLORATORY ANALYSIS OF SPATIAL AND TEMPORAL DA...

Exploratory data analysis (EDA) is about detecting and describing patterns  trends  and
relations in data  motivated by certain purposes of investigation. As something relevant is
detected in data  new questions arise  causing specific parts to be viewed in more detail. So
EDA has a significant appeal: it involves hypothesis generation rather than mere hypothesis
testing. The authors describe in detail and systemize approaches  techniques  and methods for
exploring spatial and temporal data in particular. They start by developing a general view of
data structures and characteristics and then build on top of this a general task typology 
distinguishing between elementary and synoptic tasks. This typology is then applied to the
description of existing approaches and technologies  resulting not just in recommendations for
choosing methods but in a set of generic procedures for data exploration. Professionals
practicing analysis will profit from tested solutions - illustrated in many examples - for
reuse in the catalogue of techniques presented. Students and researchers will appreciate the
detailed description and classification of exploration techniques  which are not limited to
spatial data only. In addition  the general principles and approaches described will be useful
for designers of new methods for EDA.

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