1.

Record Nr.

UNINA9910800166303321

Autore

Acevedo Miguel F.

Titolo

Data analysis and statistics for geography, environmental science, and engineering / / by Miguel F. Acevedo

Pubbl/distr/stampa

Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2012

ISBN

0-429-16914-0

Edizione

[1st edition]

Descrizione fisica

1 online resource (549 p.)

Disciplina

519.5

Soggetti

Geography - Data processing

Geography - Statistical methods

Environmental sciences - Data processing

Environmental sciences - Statistical methods

Engineering - Data processing

Engineering - Statistical methods

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Front Cover; Contents; Preface; Acknowledgments; Author; Chapter 1 - Introduction; Chapter 2 - Probability Theory; Chapter 3 - Random Variables, Distributions, Moments, and Statistics; Chapter 4 - Exploratory Analysis and Introduction to Inferential Statistics; Chapter 5 - More on Inferential Statistics: Goodness of Fit, Contingency Analysis, and Analysis of Variance; Chapter 6 - Regression; Chapter 7 - Stochastic or Random Processes and Time Series; Chapter 8 - Spatial Point Patterns; Chapter 9 - Matrices and Linear Algebra; Chapter 10 - Multivariate Models

Chapter 11 - Dependent Stochastic Processes and Time SeriesChapter 12 - Geostatistics: Kriging; Chapter 13 - Spatial Auto-Correlation and Auto-Regression; Chapter 14 - Multivariate Analysis I: Reducing Dimensionality; Chapter 15 - Multivariate Analysis II: Identifying and Developing Relationships among Observations and Variables; Bibliography; Back Cover

Sommario/riassunto

Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative



methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustainability, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applicable across a variety of science and engineering disciplines.

2.

Record Nr.

UNINA9910373941003321

Titolo

The 2019 Yearbook of the Digital Ethics Lab / / edited by Christopher Burr, Silvia Milano

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020

ISBN

3-030-29145-6

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (149 pages)

Collana

Digital Ethics Lab Yearbook, , 2524-7727

Disciplina

174.900164

174.9004

Soggetti

Ethics

Computers and civilization

Political science

Moral Philosophy and Applied Ethics

Computers and Society

Governance and Government

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Chapter 1. Introduction: Digital Ethics Lab (Dr Christopher Burr and Dr Silvia Milano) -- Chapter 2. Semantic Capital (Professor Luciano Floridi) -- Chapter 3. Regulational State Behaviour in Cyberspace (Dr Mariarosaria Taddeo) -- Chapter 4. What does the ‘explainable’ in ‘explainable AI’ mean? (David Watson) -- Chapter 5. Artificial Intelligence and the Good Society (Corinne Cath) -- Chapter 6. The Digital Afterlife Industry (Carl Öhman) -- Chapter 7. An Ethical Framework for a Good AI Society (Josh Cowls and Luciano Floridi) -- Chapter 8. Regulatory theory and autonomous computing systems



(Nikita Aggarwal) -- Chapter 9. Risk and Artificial Intelligence (Dr Silvia Milano) -- Chapter 10. Towards an e-nvironmental understanding of well-being (Dr Christopher Burr) -- Chapter 11. Smart Cities: How can technology be used to improve the lives of citizens (Tony Hart) -- Chapter 12. From Social Interaction to Ethical AI (Nigel Crook) -- Chapter 13. Governing an Ocean (Paul Galwas) -- Chapter 14. Cybersecurity and sovereignty in Europe and the role of digital industrial policy (Paul Timmers).

Sommario/riassunto

This edited volume presents an overview of cutting edge research areas within digital ethics as defined by the Digital Ethics Lab of the University of Oxford. It identifies new challenges and opportunities that will be influential in setting the research agenda in the field. The yearbook presents research on the following topics: conceptual metaphor theory, cybersecurity governance, cyber conflicts, anthropomorphism in AI, digital technologies for mental healthcare, data ethics in the asylum process, AI’s legitimacy and democratic deficit, digital afterlife industry, automatic prayer bots, foresight analysis and the future of AI.