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Exploratory Analysis of Spatial and Temporal Data : A Systematic Approach by ...
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Exploratory Analysis of Spatial and Temporal Data : A Systematic Approach by ...

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Exploratory Analysis of Spatial and Temporal DataA Systematic Approach\nAuthor(s): Natalia Andrienko, Gennady Andrienko\nFormat: Paperback\nPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Germany\nImprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K\nISBN-13: 9783662499962, 978-3662499962\nSynopsis\nExploratory 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.\n\nThe 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 bet.

Exploratory Analysis of Spatial and Temporal Data : A Systematic Approach by ...

Exploratory Analysis of Spatial and Temporal DataA Systematic Approach\nAuthor(s): Natalia Andrienko, Gennady Andrienko\nFormat: Paperback\nPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Germany\nImprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K\nISBN-13: 9783662499962, 978-3662499962\nSynopsis\nExploratory 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.\n\nThe 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 bet.

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