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Introduction to Environmental Data Science (Hardcover)
Loot Price: R2,377
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Introduction to Environmental Data Science (Hardcover)
Series: Chapman & Hall/CRC Data Science Series
Expected to ship within 9 - 15 working days
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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. Features * Gives thorough consideration of
the needs for environmental research in both spatial and temporal
domains. * Features examples of applications involving
field-collected data ranging from individual observations to data
logging. * Includes examples also of applications involving
government and NGO sources, ranging from satellite imagery to
environmental data collected by regulators such as EPA. * Contains
class-tested exercises in all chapters other than case studies.
Solutions manual available for instructors. * All examples and
exercises make use of a GitHub package for functions and especially
data.
General
Imprint: |
Taylor & Francis
|
Country of origin: |
United Kingdom |
Series: |
Chapman & Hall/CRC Data Science Series |
Release date: |
February 2023 |
First published: |
2023 |
Authors: |
Jerry Davis
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Dimensions: |
254 x 178mm (L x W) |
Format: |
Hardcover
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Pages: |
399 |
ISBN-13: |
978-1-03-232218-6 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
Probability & statistics
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LSN: |
1-03-232218-7 |
Barcode: |
9781032322186 |
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