Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach
暫譯: 空間與時間數據的探索性分析:系統化方法

Natalia Andrienko, Gennady Andrienko

  • 出版商: Springer
  • 出版日期: 2005-12-02
  • 售價: $7,650
  • 貴賓價: 9.5$7,268
  • 語言: 英文
  • 頁數: 703
  • 裝訂: Hardcover
  • ISBN: 3540259945
  • ISBN-13: 9783540259947
  • 海外代購書籍(需單獨結帳)

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商品描述

Description  

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.

商品描述(中文翻譯)

**描述**

探索性資料分析(Exploratory Data Analysis, EDA)是關於在資料中檢測和描述模式、趨勢和關係,這些都是基於特定的調查目的。當在資料中檢測到相關內容時,新的問題會隨之產生,導致特定部分被更詳細地觀察。因此,EDA 具有顯著的吸引力:它涉及假設生成,而不僅僅是單純的假設檢驗。

作者詳細描述並系統化了探索空間和時間資料的各種方法、技術和手段。他們首先發展出資料結構和特徵的一般觀點,然後在此基礎上建立一個一般任務類型,區分基本任務和綜合任務。這個類型隨後被應用於現有方法和技術的描述,不僅提供了選擇方法的建議,還形成了一套通用的資料探索程序。

從事分析的專業人士將從經過驗證的解決方案中受益——這些解決方案在許多範例中得到了說明——以便在所呈現的技術目錄中重複使用。學生和研究人員將欣賞探索技術的詳細描述和分類,這些技術不僅限於空間資料。此外,所描述的一般原則和方法將對新方法的設計者在 EDA 中非常有用。