Introduction to environmental data science / Jerry D. Davis.

Author/creator Davis, Jerry D.
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton, FL : CRC Press, Taylor & Francis Group, 2023.
Description1 online resource
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects

SeriesData science series
Abstract "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"-- Provided by publisher.
General note"A Chapman & Hall book"
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher.
Issued in other formPrint version: Davis, Jerry D. Introduction to environmental data science First edition. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2023 9781032322186
Genre/formElectronic books.
LCCN 2022041828
ISBN9781003317821 (ebook)
ISBN(hardback)
ISBN(paperback)

Availability

Library Location Call Number Status Item Actions
Electronic Resources Access Content Online ✔ Available