1# Library to Find Best eBook for Read
Author : William W. Hsieh
Release : 2023-03-31
Genre : Computers
Kind : eBook
Book Rating : 550/5 ( reviews)
Book Synopsis Introduction to Environmental Data Science by : William W. Hsieh
Download or read book Introduction to Environmental Data Science written by William W. Hsieh. This book was released on 2023-03-31. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to machine learning and statistics for students and researchers of environmental data science.
Author : Jerry Davis
Release : 2023-03-13
Genre : Business & Economics
Kind : eBook
Book Rating : 41X/5 ( reviews)
Book Synopsis Introduction to Environmental Data Science by : Jerry Davis
Download or read book Introduction to Environmental Data Science written by Jerry Davis. This book was released on 2023-03-13. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Moses Eterigho Emetere
Release : 2020-01-03
Genre : Technology & Engineering
Kind : eBook
Book Rating : 078/5 ( reviews)
Book Synopsis Introduction to Environmental Data Analysis and Modeling by : Moses Eterigho Emetere
Download or read book Introduction to Environmental Data Analysis and Modeling written by Moses Eterigho Emetere. This book was released on 2020-01-03. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces numerical methods for processing datasets which may be of any form, illustrating adequately computational resolution of environmental alongside the use of open source libraries. This book solves the challenges of misrepresentation of datasets that are relevant directly or indirectly to the research. It illustrates new ways of screening datasets or images for maximum utilization. The adoption of various numerical methods in dataset treatment would certainly create a new scientific approach. The book enlightens researchers on how to analyse measurements to ensure 100% utilization. It introduces new ways of data treatment that are based on a sound mathematical and computational approach.
Author : Carsten Dormann
Release : 2020-12-20
Genre : Medical
Kind : eBook
Book Rating : 206/5 ( reviews)
Book Synopsis Environmental Data Analysis by : Carsten Dormann
Download or read book Environmental Data Analysis written by Carsten Dormann. This book was released on 2020-12-20. Available in PDF, EPUB and Kindle. Book excerpt: Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and predictive statistics, centred on the Generalized Linear Model. The key idea behind this book is to approach statistical analyses from the perspective of maximum likelihood, essentially treating most analyses as (multiple) regression problems. The reader will be introduced to statistical distributions early on, and will learn to deploy models suitable for the data at hand, which in environmental science are often not normally distributed. To make the initially steep learning curve more manageable, each statistical chapter is followed by a walk-through in a corresponding R-based how-to chapter, which reviews the theory and applies it to environmental data. In this way, a coherent and expandable foundation in parametric statistics is laid, which can be expanded in advanced courses.The content has been “field-tested” in several years of courses on statistics for Environmental Science, Geography and Forestry taught at the University of Freiburg.
Author : Jerry D. Davis
Release : 2023
Genre : Environmental sciences
Kind : eBook
Book Rating : 341/5 ( reviews)
Book Synopsis Introduction to Environmental Data Science by : Jerry D. Davis
Download or read book Introduction to Environmental Data Science written by Jerry D. Davis. This book was released on 2023. Available in PDF, EPUB and Kindle. Book excerpt: "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 & 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. It 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"--
