Introduction To Environmental Data Science Av Jerry (professor Of Geography And Environmental Science San Francisco State Uni Usa) Davis

<P>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. <I>Introduction to Environmental Data Science </I>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.</P><B><P> </P><P>Features</P></B><P>¿ Gives thorough consideration of the needs

Pris: kr 919.00 fra Norli