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Geographic Data Science with R
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Geographic Data Science with R

Visualizing and Analyzing Environmental Change
Livre (relié)env. 146.00 CHF
livrable dans env. 10-20 jours

There is a lack of books on the broader topic of scientific workflows for geospatial data processing and analysis. This book aims to fill this gap by providing a series of tutorials aimed at teaching good practices for using geospatial data to address problems in environmental geography.

mai 2023, env. 284 pages, Chapman & Hall/CRC Data Science Series, Anglais
Taylor and Francis
978-1-03-234771-4

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

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The Data Preparation Journey
Finding Your Way with R
Taylor and Francis, 2024
978-1-03-219231-4
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Data Science for Sensory and Consumer Scientists
Taylor and Francis, 2023
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Big Data Analytics
A Guide to Data Science Practitioners Making the Transition to Big Data
Taylor and Francis, 2023
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Data Science for Water Utilities
Data as a Source of Value
Taylor and Francis, 2023
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livrable dans env. 10-20 jours
Data Science and Analytics Strategy
An Emergent Design Approach
Taylor and Francis, 2023
978-1-03-219632-9
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Introduction to Environmental Data Science
Taylor and Francis, 2023
978-1-03-232218-6
env. 140.00 CHF
livrable dans env. 10-20 jours
Data Science for Infectious Disease Data Analytics
An Introduction with R
Taylor and Francis, 2022
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env. 146.00 CHF
livrable dans env. 10-20 jours
Explanatory Model Analysis
Explore, Explain, and Examine Predictive Models
Taylor and Francis, 2022
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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
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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
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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

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