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Titlebook: Exploratory Analysis of Spatial and Temporal Data; A Systematic Approac Natalia Andrienko,Gennady Andrienko Book 2006 Springer-Verlag Berli

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書目名稱Exploratory Analysis of Spatial and Temporal Data
副標題A Systematic Approac
編輯Natalia Andrienko,Gennady Andrienko
視頻videohttp://file.papertrans.cn/321/320232/320232.mp4
概述Includes supplementary material:
圖書封面Titlebook: Exploratory Analysis of Spatial and Temporal Data; A Systematic Approac Natalia Andrienko,Gennady Andrienko Book 2006 Springer-Verlag Berli
描述.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
出版日期Book 2006
關鍵詞Data Visualization; GIS; Geographical Information Systems; Spatial Data; Temporal Data; Visual Analytics;
版次1
doihttps://doi.org/10.1007/3-540-31190-4
isbn_softcover978-3-662-49996-2
isbn_ebook978-3-540-31190-4
copyrightSpringer-Verlag Berlin Heidelberg 2006
The information of publication is updating

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Principles,explain the overall behaviour of the characteristics over the entire reference set. In the course of the exploration, this general task is decomposed into subtasks of various types. We illustrate this view by several examples, in which datasets with different structures are considered and the explor
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Book 2006ration. ..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
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