Introduction to R for Terrestrial Ecology: Basics of Numerical Analysis, Mapping, Statistical Tests and Advanced Application of R
暫譯: R在陸地生態學中的應用入門：數值分析、地圖製作、統計測試及R的進階應用基礎

這本教科書涵蓋與環境科學相關的 R 數據分析，從基本範例開始，逐步進入 R 程式語言的進階應用。這本教科書的主要目標是作為本科生的指南，這些學生對 R 沒有任何先前的經驗，但書中也有部分內容專門針對進階 R 應用，對碩士和博士生以及專業人士也會有幫助。

這本教科書處理在 R 中解決特定程式設計任務的問題，任務的組織方式是根據 R 的熟練程度逐漸增加，隨著章節的進展，範例變得越來越具挑戰性。學生從這本教科書中將獲得的主要能力包括：

- 操作和處理數據表
- 執行統計測試
- 在 R 中創建地圖

這本教科書將在本科和研究生課程中對進階景觀生態學、生態和環境數據分析、生態建模、生態學的分析方法、應用研究的統計推斷、統計方法的基本元素、計算生態學、景觀指標和空間統計等領域非常有用。

Dr. Milena Lakicevic is an Assistant Professor at University of Novi Sad, Faculty of Agriculture in Novi Sad, Serbia. She holds a PhD in biotechnical sciences and her primary area of expertise is application of R programming, multi-criteria analysis and decision support systems in landscape and natural resources management. Dr. Lakicevic spent six months (January-July 2018) at the Pacific Northwest Research Station (US Department of Agriculture, Forest Service) as a Fulbright Visiting Scholar, working on spatial decision support systems under supervision of Dr. Keith Reynolds. She has published over 60 scientific papers and served as a reviewer for international journals and gave guest lectures at several Universities in Europe.

Dr. Nicholas Povak is a Postdoctoral Fellow with the Oak Ridge Associated Universities and the Pacific Northwest Research Station (US Forest Service). He received his PhD from the University of Washington - Seattle, where he explored the application of machine learning algorithms for the prediction of ecological processes such as stream water quality and cavity nesting bird habitat. Dr. Povak worked as a Post-doc with the Institute of Pacific Islands Forestry (Hilo, HI) developing decision support models to help manage invasive species, hydrologic flows, and sediment yields in tropical forested watersheds. Currently, Dr. Povak is applying machine learning algorithms in the R programming environment to predict fire severity patterns and controls on fire spread from satellite data and to better understand biophysical drivers of post-fire conifer regeneration. He also creates web applications using the Shiny R package to provide a portal for stakeholders to interact with decision support models to aid in their decision making process.

Dr. Keith Reynolds is a research forester with the Pacific Northwest Research Station (US Department of Agriculture, Forest Service) and is located at the Corvallis Forestry Sciences Laboratory in Corvallis, OR. Although Dr. Reynolds' advanced degrees are in quantitative plant epidemiology, his primary areas of expertise are in statistics, biomathematics, and knowledge-based systems theory and application. He has been the team leader of the Ecosystem Management Decision Support project at the PNW Station since 1993, designing and implementing new spatially enabled knowledge-based systems technologies for environmental analysis and planning. For the past 20 years, Dr. Reynolds also has been working in a wide variety of specific application areas, including watershed assessment, forest ecosystem sustainability, fish and wildlife habitat suitability, Regional Planning, national forest-fuels management, landscape restoration, environmental effects of atmospheric sulfur deposition, maintenance of national environmental infrastructure for the Army Corps of Engineers, and the national Terrestrial Condition Assessment of the US Forest Service. He has published over 125 refereed articles and book chapters, and has edited five volumes, including Making Transparent Environmental Management Decisions: Applications of the Ecosystem Management Decision Support System (Springer, 2014).

米蓮娜·拉基切維奇博士（Dr. Milena Lakicevic）是塞爾維亞諾維薩德大學農業學院的助理教授。她擁有生物技術科學的博士學位，主要專長於R程式設計的應用、多準則分析及決策支援系統在景觀與自然資源管理中的應用。拉基切維奇博士於2018年1月至7月在美國農業部森林服務局的太平洋西北研究站擔任富布賴特訪問學者，並在基思·雷諾茲博士的指導下研究空間決策支援系統。她已發表超過60篇科學論文，並擔任國際期刊的審稿人，並在歐洲的幾所大學進行過客座講座。

尼古拉斯·波瓦克博士（Dr. Nicholas Povak）是橡樹嶺聯合大學和太平洋西北研究站（美國森林服務局）的博士後研究員。他在華盛頓大學（西雅圖）獲得博士學位，研究機器學習演算法在預測生態過程（如溪流水質和洞巢鳥棲息地）中的應用。波瓦克博士曾在太平洋島嶼林業研究所（夏威夷希洛）擔任博士後，開發決策支援模型以幫助管理入侵物種、水文流動和熱帶森林流域的沉積物產量。目前，波瓦克博士正在R程式設計環境中應用機器學習演算法，以預測火災嚴重程度模式及火災擴散的控制因素，並更好地理解火災後針葉樹再生的生物物理驅動因素。他還使用Shiny R套件創建網頁應用程式，為利益相關者提供與決策支援模型互動的入口，以協助他們的決策過程。

基思·雷諾茲博士（Dr. Keith Reynolds）是美國農業部森林服務局的太平洋西北研究站的研究林務員，位於俄勒岡州科瓦利斯的林業科學實驗室。儘管雷諾茲博士的高級學位是量化植物流行病學，但他的主要專長領域是統計學、生物數學以及知識基礎系統的理論與應用。自1993年以來，他一直是PNW研究站生態系統管理決策支援項目的團隊負責人，設計並實施新的空間啟用知識基礎系統技術，用於環境分析和規劃。在過去20年中，雷諾茲博士還在多個特定應用領域工作，包括流域評估、森林生態系統可持續性、魚類和野生動物棲息地適宜性、區域規劃、國家森林燃料管理、景觀修復、大氣硫沉積的環境影響、維護工程兵團的國家環境基礎設施，以及美國森林服務局的國家陸地狀況評估。他已發表超過125篇經審核的文章和書籍章節，並編輯了五卷書籍，包括《透明的環境管理決策：生態系統管理決策支援系統的應用》（Springer, 2014）。