Future Sustainable Ecosystems Future Sustainable Ecosystems
Chapman & Hall/CRC Applied Environmental Statistics

Future Sustainable Ecosystems

Complexity, Risk, and Uncertainty

    • 52,99 €
    • 52,99 €

Descrição da editora

Future Sustainable Ecosystems: Complexity, Risk, Uncertainty provides an interdisciplinary, integrative overview of environmental problem-solving using statistics. It shows how statistics can be used to solve diverse environmental and socio-economic problems involving food, water, energy scarcity, and climate change risks. It synthesizes interdisciplinary theory, concepts, definitions, models and findings involved in complex global sustainability problem-solving, making it an essential guide and reference. It includes real-world examples and applications making the book accessible to a broader interdisciplinary readership.

Discussions include a broad, integrated perspective on sustainability, integrated risk, multi-scale changes and impacts taking place within ecosystems worldwide. State-of-the-art statistical techniques, including Bayesian hierarchical, spatio-temporal, agent-based and game-theoretic approaches are explored. The author then focuses on the real-world integration of observational and experimental data and its use within statistical models.

GÉNERO
Ciência e natureza
LANÇADO
2016
3 de outubro
IDIOMA
EN
Inglês
PÁGINAS
409
EDITORA
CRC Press
TAMANHO
10,8
MB

Mais livros de Nathaniel K Newlands

Outros livros desta série

Bayesian Applications in Environmental and Ecological Studies with R and Stan Bayesian Applications in Environmental and Ecological Studies with R and Stan
2022
Bringing Bayesian Models to Life Bringing Bayesian Models to Life
2019
Biometry for Forestry and Environmental Data Biometry for Forestry and Environmental Data
2020
Evaluating Climate Change Impacts Evaluating Climate Change Impacts
2020
Statistical Methods for Field and Laboratory Studies in Behavioral Ecology Statistical Methods for Field and Laboratory Studies in Behavioral Ecology
2018
Environmental and Ecological Statistics with R Environmental and Ecological Statistics with R
2016