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商品描述
Since the publication of the second edition of Richard Plant's bestselling textbook "Spatial Data Analysis in Ecology and Agriculture Using R", the methodology of spatial data analysis and the suite of R tools for carrying out this analysis have evolved dramatically. This third edition thus explores both the leading software tools for the analysis of vector and raster data; the first based on sf and associated libraries, the second based on the terra package as it has evolved out of the earlier raster package.
Further, within the methodology of spatial data analysis, the set of methods available has significantly expanded. This book adds several of the most popular and useful, including machine learning methods in spatial data analysis, the use of simulation methods in spatial data analysis, and a new chapter on the analysis of remotely sensed data. These methods are critically compared in the context of addressing the particular goals of the research project.
The book's practical coverage of spatial statistics, real-world examples, and user-friendly approach make this an essential textbook for ecology and agriculture graduate students. Using data sets from cultivated and uncultivated ecosystems, the book guides the reader through the analysis, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions.
Additional material to accompany the book, including a review of mathematical concepts, the full data sets, and a brief introduction to geographic coordinate systems, can be accessed via the Instructor Resources link on www.routledge.com.
商品描述(中文翻譯)
自從Richard Plant的暢銷教科書《使用R進行生態與農業的空間數據分析》第二版出版以來，空間數據分析的方法論以及用於執行此分析的R工具套件已經發生了顯著的變化。因此，本書第三版探討了分析向量和光柵數據的主要軟體工具；第一種基於sf及相關函式庫，第二種則基於terra套件，該套件是從早期的光柵套件演變而來。
此外，在空間數據分析的方法論中，可用的方法集已顯著擴展。本書新增了幾種最受歡迎和實用的方法，包括空間數據分析中的機器學習方法、在空間數據分析中使用模擬方法，以及一章關於遙感數據分析的新章節。這些方法在解決研究項目的特定目標的背景下進行了關鍵比較。
本書對空間統計的實用涵蓋、真實世界的範例以及友好的方法使其成為生態學和農業研究生的必備教科書。使用來自耕作和未耕作生態系統的數據集，本書指導讀者進行分析，包括設定研究目標、設計抽樣計劃、數據質量控制、探索性和確認性數據分析，以及得出科學結論。
可通過www.routledge.com上的Instructor Resources連結訪問與本書相關的附加材料，包括數學概念的回顧、完整的數據集以及地理坐標系的簡要介紹。
作者簡介
Richard E. Plant is a Professor Emeritus of Plant Sciences and Biological and Agricultural Engineering at the University of California, Davis. He is the co-author of Knowledge-Based Systems in Agriculture and is a former Editor-in-Chief of Computers and Electronics in Agriculture and Associate Editor of Precision Agriculture. He has published extensively on applications of crop modeling, expert systems, spatial statistics, remote sensing, and geographic information systems to problems in crop production and natural resource management.
作者簡介(中文翻譯)
理查德·E·普蘭特（Richard E. Plant）是加州大學戴維斯分校植物科學及生物與農業工程的名譽教授。他是《基於知識的農業系統》（Knowledge-Based Systems in Agriculture）的共同作者，曾擔任《農業中的計算機與電子學》（Computers and Electronics in Agriculture）的主編及《精準農業》（Precision Agriculture）的副編輯。他在作物建模、專家系統、空間統計、遙感技術及地理資訊系統在作物生產和自然資源管理問題上的應用方面發表了大量的研究。
