Logo
Introduction to Environmental Data Science
Télécharger la couverture

Introduction to Environmental Data Science

Livre (relié)env. 140.00 CHF
livrable dans env. 10-20 jours

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 and more.

mars 2023, env. 382 pages, Chapman & Hall/CRC Data Science Series, Anglais
Taylor and Francis
978-1-03-232218-6

Autres titres de la collection: Chapman & Hall/CRC Data Science Series

Afficher tout
The Data Preparation Journey
Finding Your Way with R
Taylor and Francis, 2024
978-1-03-219231-4
env. 240.00 CHF
livrable dans env. 10-20 jours
Data Science for Sensory and Consumer Scientists
Taylor and Francis, 2023
978-0-367-86287-9
env. 146.00 CHF
livrable dans env. 10-20 jours
Big Data Analytics
A Guide to Data Science Practitioners Making the Transition to Big Data
Taylor and Francis, 2023
978-1-03-245814-4
env. 76.00 CHF
livrable dans env. 10-20 jours
Data Science for Water Utilities
Data as a Source of Value
Taylor and Francis, 2023
978-1-03-235454-5
env. 80.00 CHF
livrable dans env. 10-20 jours
Geographic Data Science with R
Visualizing and Analyzing Environmental Change
Taylor and Francis, 2023
978-1-03-234771-4
env. 146.00 CHF
livrable dans env. 10-20 jours
Data Science and Analytics Strategy
An Emergent Design Approach
Taylor and Francis, 2023
978-1-03-219632-9
env. 76.00 CHF
livrable dans env. 10-20 jours
Data Science for Infectious Disease Data Analytics
An Introduction with R
Taylor and Francis, 2022
978-1-03-218742-6
env. 146.00 CHF
livrable dans env. 10-20 jours
Explanatory Model Analysis
Explore, Explain, and Examine Predictive Models
Taylor and Francis, 2022
978-0-367-69392-3
env. 86.00 CHF
livrable dans env. 10-20 jours
Massive Graph Analytics
Taylor and Francis, 2022
978-0-367-46412-7
env. 236.00 CHF
livrable dans env. 10-20 jours
Data Science
A First Introduction
Taylor and Francis, 2022
978-0-367-53217-8
env. 226.00 CHF
livrable dans env. 10-20 jours
Tree-Based Methods for Statistical Learning in R
Taylor and Francis, 2022
978-0-367-53246-8
env. 156.00 CHF
livrable dans env. 10-20 jours
Public Policy Analytics
Code and Context for Data Science in Government
Taylor and Francis, 2021
978-0-367-50761-9
env. 86.00 CHF
livrable dans env. 10-20 jours

Autres titres sur ce thème

Design and Analysis of Accelerated Life Tests
Taylor and Francis, 2026
978-1-4987-5344-9
env. 155.00 CHF
paraît en août
Performance Attribution and Attribution Volume Two
Analysis and Reporting
Elsevier, 2026
978-0-12-818301-4
env. 152.00 CHF
livrable dans env. 10-20 jours
The Analysis of Time Series
An Introduction with R
Taylor and Francis, 2026
978-1-041-08586-7
env. 285.00 CHF
paraît en août
Count Time Series
A Generalized Linear Models Approach
Taylor and Francis, 2027
978-1-4822-4805-0
env. 130.00 CHF
livrable dans env. 10-20 jours
Discrete Choice Models
Mathematical Methods, Econometrics, and Data Science
University Presses, 2026
978-0-691-22180-9
env. 85.00 CHF
paraît en avril
Hidden Markov Models in Finance and Other Applications
CRC Press, 2026
978-1-041-00371-7
env. 153.00 CHF
livrable dans env. 15 jours
Business Statistics of the United States 2026
Patterns of Economic Change
Bloomsbury, 2026
979-8-216-44092-5
env. 269.00 CHF
paraît en août
Prescriptions for Quant Traders Using R
Videos & Scripts
Taylor and Francis, 2026
978-1-032-97228-2
env. 125.00 CHF
paraît en avril
Derivatives
Mathematical Foundations for Finance Students
Taylor and Francis, 2026
978-1-032-76219-7
env. 209.00 CHF
paraît en juin
Dynamic Programming for Economists
From Basic Growth Models to Computational Methods
Taylor and Francis, 2026
978-1-041-30342-8
env. 249.00 CHF
paraît en juillet
Dynamic Programming for Economists
From Basic Growth Models to Computational Methods
Taylor and Francis, 2026
978-1-041-30339-8
env. 85.00 CHF
paraît en juillet