Spatial Analysis with R: Statistics, Visualization, and Computational Methods

Oyana, Tonny J.

  • 出版商: CRC
  • 出版日期: 2020-09-01
  • 售價: $4,125
  • 貴賓價: 9.5$3,919
  • 語言: 英文
  • 頁數: 334
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0367860856
  • ISBN-13: 9780367860851
  • 相關分類: R 語言機率統計學 Probability-and-statistics
  • 立即出貨 (庫存=1)

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商品描述

In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis. Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes.

New in the Second Edition:

  • Includes new practical exercises and worked-out examples using R
  • Presents a wide range of hands-on spatial analysis worktables and lab exercises
  • All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences
  • Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods
  • Explains big data, data management, and data mining

This second edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first-year graduate students in geography and the geosciences.

商品描述(中文翻譯)

自從第一版的《空間分析:統計、視覺化和計算方法》出版以來的五年間,關於使用R進行空間分析的新工具和方法的實施已經有了許多新的發展。本書的第二版涵蓋了人工智能、機器學習和深度學習算法在空間角度上的使用和發展,以及跨學科使用空間分析的方法。除了傳統的統計方法和算法外,本書還提供了基於概念的問題解決學習方法,以掌握實際的空間分析。《使用R進行空間分析:統計、視覺化和計算方法,第二版》在概念和實踐的空間統計學之間取得了平衡,全面介紹了理解空間數據、分析空間關係和模式、預測空間過程的最重要方法。

第二版的新內容包括:
- 包含使用R的新實際練習和實例
- 提供各種實踐性的空間分析工作表和實驗練習
- 所有章節都經過修訂,並使用來自環境和社會科學的數據來說明不同概念
- 擴展了關於時空方法、視覺分析方法、數據科學和計算方法的內容
- 解釋了大數據、數據管理和數據挖掘

這本已經成為經典教材的第二版,提供了新的數據集、見解、優秀的插圖和許多使用R的實例,非常適合地理學和地球科學的高年級本科生和研究生使用。

作者簡介

Professor Tonny J. Oyana received his Ph.D. and his postdoctoral training from the University of Buffalo, New York, USA. He currently serves as the College Principal at the Makerere University College of Computing and Information Science, Kampala, Uganda. He has served for over 20 years in several academic positions at the Southern Illinois University Carbondale and University of Tennessee Health Science Center, Memphis, USA. His research focuses on establishing whether there is a link between environmental health and exposure; advancing GIS methods, algorithm design, and spatial analytical methods; and understanding the factors that contribute toward land systems change. He has authored or co-authored more than 100 scientific works.

作者簡介(中文翻譯)

Tonny J. Oyana教授在美國紐約州布法羅大學獲得博士學位和博士後培訓。他目前擔任烏干達坎帕拉馬凱雷雷大學計算與資訊科學學院的院長。他在美國南伊利諾伊大學卡本代爾分校和田納西大學健康科學中心擔任多個學術職位超過20年。他的研究重點包括探討環境健康和暴露之間是否存在聯繫;推進地理信息系統方法、算法設計和空間分析方法;以及了解導致土地系統變化的因素。他已經撰寫或合著了100多篇科學論文。