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商品描述
Using R for Modelling and Quantitative Methods in Fisheries has evolved and adapted from an earlier book by the same author and provides a detailed introduction to analytical methods commonly used by fishery scientists, ecologists, and advanced students using the open source software R as a programming tool. Some knowledge of R is assumed, as this is a book about using R, but an introduction to the development and working of functions, and how one can explore the contents of R functions and packages, is provided.
The example analyses proceed step-by-step using code listed in the book and from the book's companion R package, MQMF, available from GitHub and the standard archive, CRAN. The examples are designed to be simple to modify so the reader can quickly adapt the methods described to use with their own data. A primary aim of the book is to be a useful resource to natural resource practitioners and students.
Features:
- Model Parameter Estimation provides a detailed explanation of the requirements and steps involved in fitting models to data, using R and, mainly, maximum likelihood methods
- On Uncertainty uses R to implement bootstrapping, likelihood profiles, asymptotic errors, and Bayesian posteriors to characterize any uncertainty in an analysis. The use of the Monte Carlo Markov Chain methodology is examined in some detail
- Surplus Production Models applies all the methods examined in the earlier parts of the book to conducting a stock assessment. This included fitting alternative models to the available data, characterizing the uncertainty in different ways, and projecting the optimum models forward in time as the basis for providing useful management advice
商品描述(中文翻譯)
《使用 R 進行漁業建模與定量方法》是基於同一作者早期的書籍進行演變和調整，詳細介紹了漁業科學家、生態學家和高級學生常用的分析方法，並使用開源軟體 R 作為編程工具。本書假設讀者對 R 有一定的了解，因為這是一本關於使用 R 的書，但也提供了對函數的開發和運作的介紹，以及如何探索 R 函數和套件的內容。
示例分析逐步進行，使用書中列出的代碼和書籍的伴隨 R 套件 MQMF，該套件可從 GitHub 和標準存檔 CRAN 獲得。這些示例旨在簡單易改，以便讀者能夠快速調整所描述的方法以適用於自己的數據。本書的主要目標是成為自然資源從業者和學生的有用資源。
**特色：**
- *模型參數估計* 提供了使用 R 進行數據擬合模型的要求和步驟的詳細解釋，主要使用最大似然方法。
- *關於不確定性* 使用 R 實現自助法、似然輪廓、漸近誤差和貝葉斯後驗，以表徵分析中的任何不確定性。對蒙地卡羅馬可夫鏈方法的使用進行了詳細檢查。
- *盈餘生產模型* 將書中早期部分檢查的所有方法應用於進行庫存評估。這包括擬合可用數據的替代模型，以不同方式表徵不確定性，並將最佳模型向前推進，以提供有用的管理建議。
作者簡介
Dr. Malcolm Haddon has at least 35 years of experience in fisheries science, having worked in the Department of New Zealand Fisheries, the University of Sydney, the Australian Maritime College, the University of Tasmania, and, most recently, in Australia's Commonwealth Scientific and Industrial Research Organization (CSIRO), from which he recently retired. He has worked with: Crustacea, including crabs, prawns, and rock lobster; Mollusca, including scallops and abalone; and scale-fish, many and various. Dr. Haddon's interests are these days focussed on all aspects of resource assessment and simulation testing of resource management using management strategy evaluation. He considers himself fortunate to have become an adjunct professor in the Institute of Marine and Antarctic Sciences at the University of Tasmania and an Honorary Research Fellow at Oceans and Atmosphere, CSIRO, in Hobart, Tasmania. In both institutions he continues to collaborate with colleagues, most recently beginning to contribute to two research programs at the university on abalone population dynamics and management.
作者簡介(中文翻譯)
馬爾科姆·哈登博士在漁業科學領域擁有至少35年的經驗，曾在紐西蘭漁業部、悉尼大學、澳大利亞海事學院、塔斯馬尼亞大學工作，最近則在澳大利亞聯邦科學與工業研究組織（CSIRO）工作，並已於近期退休。他的研究對象包括：甲殼類動物，如螃蟹、蝦和岩龍蝦；軟體動物，如扇貝和鮑魚；以及各種鱗魚。哈登博士目前的興趣集中在資源評估的各個方面，以及使用管理策略評估進行資源管理的模擬測試。他認為自己很幸運，成為塔斯馬尼亞大學海洋與南極科學研究所的兼任教授，以及在塔斯馬尼亞霍巴特的CSIRO海洋與大氣部門的榮譽研究員。在這兩個機構中，他持續與同事合作，最近開始參與大學的兩個研究計畫，研究鮑魚的種群動態和管理。
