Statistical Methods for Spatial Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)
暫譯: 空間數據分析的統計方法（Chapman & Hall/CRC 統計科學系列）
Oliver Schabenberger, Carol A. Gotway
- 出版商: Chapman and Hall/CRC
- 出版日期: 2004-12-20
- 售價: $6,150
- 貴賓價: 9.5 折 $5,843
- 語言: 英文
- 頁數: 512
- 裝訂: Hardcover
- ISBN: 1584883227
- ISBN-13: 9781584883227
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相關分類:
Data Science
海外代購書籍(需單獨結帳)
商品描述
Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that incorporates all of these factors by presenting a balanced exposition that explores both the theoretical foundations of the field of spatial statistics as well as practical methods for the analysis of spatial data.
This book is a comprehensive and illustrative treatment of basic statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. It introduces essential tools and approaches including: measures of autocorrelation and their role in data analysis; the background and theoretical framework supporting random fields; the analysis of mapped spatial point patterns; estimation and modeling of the covariance function and semivariogram; a comprehensive treatment of spatial analysis in the spectral domain; and spatial prediction and kriging. The volume also delivers a thorough analysis of spatial regression, providing a detailed development of linear models with uncorrelated errors, linear models with spatially-correlated errors and generalized linear mixed models for spatial data. It succinctly discusses Bayesian hierarchical models and concludes with reviews on simulating random fields, non-stationary covariance, and spatio-temporal processes.
Additional material on the CRC Press website supplements the content of this book. The site provides data sets used as examples in the text, software code that can be used to implement many of the principal methods described and illustrated, and updates to the text itself.
This book is a comprehensive and illustrative treatment of basic statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. It introduces essential tools and approaches including: measures of autocorrelation and their role in data analysis; the background and theoretical framework supporting random fields; the analysis of mapped spatial point patterns; estimation and modeling of the covariance function and semivariogram; a comprehensive treatment of spatial analysis in the spectral domain; and spatial prediction and kriging. The volume also delivers a thorough analysis of spatial regression, providing a detailed development of linear models with uncorrelated errors, linear models with spatially-correlated errors and generalized linear mixed models for spatial data. It succinctly discusses Bayesian hierarchical models and concludes with reviews on simulating random fields, non-stationary covariance, and spatio-temporal processes.
Additional material on the CRC Press website supplements the content of this book. The site provides data sets used as examples in the text, software code that can be used to implement many of the principal methods described and illustrated, and updates to the text itself.
商品描述(中文翻譯)
理解空間統計需要應用統計學和數學統計的工具、線性模型理論、迴歸、時間序列以及隨機過程。它還需要一種專注於空間數據獨特特徵的思維方式，以及專門為空間數據分析設計的分析工具的開發。《空間數據分析的統計方法》滿足了這一需求，通過呈現一個平衡的論述，探索空間統計領域的理論基礎以及空間數據分析的實用方法。
本書全面且具說明性地處理了空間數據分析的基本統計理論和方法，採用基於模型的頻率主義方法，強調空間領域。它介紹了包括自相關度量及其在數據分析中的作用；支持隨機場的背景和理論框架；映射空間點模式的分析；協方差函數和半變異數的估計與建模；光譜領域的空間分析的全面處理；以及空間預測和克里金法等基本工具和方法。本書還對空間迴歸進行了徹底分析，詳細發展了具有不相關誤差的線性模型、具有空間相關誤差的線性模型以及用於空間數據的廣義線性混合模型。它簡明地討論了貝葉斯層級模型，並以隨機場模擬、非平穩協方差和時空過程的回顧作結。
CRC Press網站上的附加材料補充了本書的內容。該網站提供了文本中用作示例的數據集、可用於實現許多主要方法的軟體代碼，以及文本本身的更新。
