Data Science and Human-Environment Systems - Image 1

£93.77

Cambridge University Press Data Science and Human-Environment Systems

Name: Data Science and Human-Environment Systems
Brand: Cambridge University Press
Price: 93.77 GBP
Availability: InStock

Environmental & Natural Resources Law

Same price for 6 weeks. Today is much like next week.

£94 for 40 days straight · last change was Aug 2026

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 89 days · 89 data points

Historical

Generating forecast…

Price Distribution

Price distribution over 89 days • 4 price levels

Days at Price

Current Price

Price Analysis

Most common price: £94 (55 days, 61.8%)

Price range: £26 - £95

Price levels: 4 different prices over 89 days

Description

Transformation of the Earth's social and ecological systems is occurring at a rate and magnitude unparalleled in human experience. Data science is a revolutionary new way to understand human-environment relationships at the heart of pressing challenges like climate change and sustainable development. However, data science faces serious shortcomings when it comes to human-environment research. There are challenges with social and environmental data, the methods that manipulate and analyze the information, and the theory underlying the data science itself; as well as significant legal, ethical and policy concerns. This timely book offers a comprehensive, balanced, and accessible account of the promise and problems of this work in terms of data, methods, theory, and policy. It demonstrates the need for data scientists to work with human-environment scholars to tackle pressing real-world problems, making it ideal for researchers and graduate students in Earth and environmental science, data science and the environmental social sciences.

Product Specifications

Brand: Cambridge University Press
Format: hardcover
ASIN: 1108486282
Category: Books > Subjects > Business, Finance & Law > Law > Environmental & Natural Resources Law
Domain: Amazon UK
Release Date: 09 February 2023
Listed Since: 28 August 2022

Barcode

No barcode data available

Cambridge University Press Data Science and Human-Environment Systems

Same price for 6 weeks. Today is much like next week.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Critical Perspectives on Data Access for Research

Big Data in the Psychological Sciences

Mathematical Methods in Data Science: Bridging Theory and Applications with Python (Cambridge Mathematical Textbooks)

A Hands-On Introduction to Data Science with R

Elsevier Mathematical Methods in Data Science Textbook

Advances in Intelligent Data Analysis XVIII

Kendall Hunt Publishing Exploratory Data Analysis Book

Data Science for Engineers

Data Science for Engineers

A Hands-On Introduction to Data Science with Python

Our Data, Ourselves: A Personal Guide to Digital Privacy

Language and Meaning in Literature

Hands-On Data Science for Librarians (Chapman & Hall/CRC Data Science Series)

Data Science in the Medical Field - Academic Press

Data Analytics & Statistics

Mastering Health Data Science Using R - Programming Guide

Expressivity in European Languages

Data Science for Sustainable Development Goals: Indian Case Studies

Computational Data Analysis Techniques in Economics and Finance (Studies in Financial Optimization and Risk Management)

How Data Need People: The Social and Epistemic Practice of a Data-Rich Science

Supervised and Unsupervised Data Engineering for Multimedia Data

Data Science: Foundations and Hands-on Experience: Handling Economic, Spatial, and Multidimensional Data with R

Environment, Energy and Sustainable Development

Data Science in Engineering and Management: Applications, New Developments, and Future Trends