Introduction to Environmental Data Science

Davis, Jerry

  • 出版商: CRC
  • 出版日期: 2023-03-13
  • 售價: $4,050
  • 貴賓價: 9.5$3,848
  • 語言: 英文
  • 頁數: 382
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032322187
  • ISBN-13: 9781032322186
  • 相關分類: Data Science
  • 海外代購書籍(需單獨結帳)

商品描述

Introduction to Environmental Data Science focuses on data science methods in the R language applied to environmental research, with sections on exploratory data analysis in R including data abstraction, transformation, and visualization; spatial data analysis in vector and raster models; statistics and modelling ranging from exploratory to modelling, considering confirmatory statistics and extending to machine learning models; time series analysis, focusing especially on carbon and micrometeorological flux; and communication. Introduction to Environmental Data Science is an ideal textbook to teach undergraduate to graduate level students in environmental science, environmental studies, geography, earth science, and biology, but can also serve as a reference for environmental professionals working in consulting, NGOs, and government agencies at the local, state, federal, and international levels.

Features

- Gives thorough consideration of the needs for environmental research in both spatial and temporal domains.

- Features examples of applications involving field-collected data ranging from individual observations to data logging.

- Includes examples also of applications involving government and NGO sources, ranging from satellite imagery to environmental data collected by regulators such as EPA.

- Contains class-tested exercises in all chapters other than case studies. Solutions manual available for instructors.

- All examples and exercises make use of a GitHub package for functions and especially data.

商品描述(中文翻譯)

《環境數據科學入門》專注於應用於環境研究的R語言中的數據科學方法,內容包括R中的探索性數據分析,包括數據抽象、轉換和可視化;向量和光柵模型中的空間數據分析;從探索性到建模的統計和建模,考慮確認性統計並擴展到機器學習模型;時間序列分析,特別關注碳和微氣象通量;以及溝通。《環境數據科學入門》是一本理想的教科書,適用於環境科學、環境研究、地理學、地球科學和生物學的本科到研究生水平的學生,同時也可作為在諮詢、非政府組織和地方、州、聯邦和國際政府機構工作的環境專業人士的參考資料。

特點:
- 充分考慮了空間和時間領域中環境研究的需求。
- 提供了涉及從個別觀察到數據記錄的現場收集數據的應用示例。
- 包括涉及政府和非政府組織來源的應用示例,範圍從衛星圖像到由EPA等監管機構收集的環境數據。
- 所有章節(案例研究除外)都包含經過班級測試的練習題。教師可獲得解答手冊。
- 所有示例和練習都使用GitHub套件中的函數和數據。

作者簡介

Jerry Douglas Davis is a Professor of Geography & Environment (https: //geog.sfsu.edu/) and the Director of the Institute for Geographic Information Science (https: //gis.sfsu.edu/) at San Francisco State University, and borrows heavily from his and his students' field-based environmental research for examples in the book.

作者簡介(中文翻譯)

Jerry Douglas Davis是舊金山州立大學地理與環境學教授(https://geog.sfsu.edu/),也是地理信息科學研究所(https://gis.sfsu.edu/)的主任。他在書中大量借鑒了他和他的學生在田野環境研究中的例子。