000			01469cam a22001938i 4500
999			_c38182 _d38182
020			_a9781032330341
041			_aeng
082	0	0	_a363.700285 _bDAV-I
100	1		_aDavis, Jerry D. _eauthor.
245	1	0	_aIntroduction to environmental data science / _cJerry D. Davis.
260			_aFlorida : _bCRC, _c2023.
300			_axx, 382p.
504			_aIncludes bibliographical references and index.
520			_a"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"--
546			_aEnglish.
650		0	_aEnvironmental sciences _xData processing.
650		0	_aR (Computer program language)
942			_2ddc _cBK