1.

Record Nr.

UNINA9910460541203321

Autore

Malvern Gladys

Titolo

The six wives of Henry VIII / / Gladys Malvern

Pubbl/distr/stampa

New York : , : Vanguard Press, , 1972

ISBN

1-5040-2885-6

Edizione

[First edition.]

Descrizione fisica

1 online resource (107 p.)

Disciplina

813/.5/2

Soggetti

Marriages of royalty and nobility

Queens - Great Britain

Electronic books.

Great Britain History Henry VIII, 1509-1547 Fiction

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di contenuto

Title Page; Contents; The Saint: Catherine of Aragon; 1; 2; 3; 4; 5; The Egotist: Anne Boleyn; 1; 2; 3; 4; The Diplomat: Jane Seymour; The Housewife: Anne of Cleves; 1; 2; The Coquette: Catherine Howard; 1; 2; The Mother: Catherine Parr; 1; 2; 3; Epilogue; Copyright Page



2.

Record Nr.

UNINA9911019509503321

Titolo

Advanced mapping of environmental data : geostatistics, machine learning, and Bayesian maximum entropy / / edited by Mikhail Kanevski

Pubbl/distr/stampa

London, : ISTE, Ltd.

Hoboken, NJ, : J. Wiley, c2008

ISBN

9780470611463 (e-book)

9781848210608 (hbk.)

Descrizione fisica

1 online resource (xiii, 313 p.) : ill

Collana

ISTE ; ; v.62

Altri autori (Persone)

KanevskiMikhail

Disciplina

550.1/519542

Soggetti

Geology - Statistical methods

Machine learning

Bayesian statistical decision theory

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Chapter 1. Advanced Mapping of Environmental Data: Introduction -- Chapter 2. Environmental Monitoring Network Characterization and Clustering -- Chapter 3. Geostatistics: Spatial Predictions and Simulations -- Chapter 4. Spatial Data Analysis and Mapping Using Machine Learning Algorithms -- Chapter 5. Advanced Mapping of Environmental Spatial Data: Case Studies -- Chapter 6. Bayesian Maximum Entropy – BME -- Index.

Sommario/riassunto

This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatistics) and data driven (machine learning algorithms) analysis techniques such as risk mapping, conditional stochastic simulations, descriptions of spatial uncertainty and variability, artificial neural networks (ANN) for spatial data, Bayesian maximum entropy (BME), and more.