Spatial Statistics for Data Science (PDF)

Name: Spatial Statistics for Data Science
Brand: Taylor & Francis
SKU: 151647807
Price: 81.90 CHF
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Theory and Practice with R (Sprache: Englisch)

Autor: Paula Moraga

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Spatial Statistics for Data Science, Paula Moraga

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Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society. This book describes statistical methods, modeling approaches, and visualization techniques to analyze spatial data using R.

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Autoren-Porträt von Paula Moraga

Paula Moraga is Professor of Statistics at King Abdullah University of Science and Technology (KAUST). She received her Master's in Biostatistics from Harvard University and her Ph.D. in Mathematics from the University of Valencia. Dr. Moraga develops innovative statistical methods and open-source software for spatial data analysis and health surveillance, including R packages for spatio-temporal modeling, detection of clusters, and travel-related spread of disease. Her work has directly informed strategic policy in reducing the burden of diseases such as malaria and cancer in several countries. Dr. Moraga has published extensively in leading journals, and serves as an Associate Editor of the Journal of the Royal Statistical Society Series A. She is the author of the book Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny (Chapman & Hall/CRC). Dr. Moraga received the prestigious Letten Prize for her pioneering research in disease surveillance, and her significant contributions to the development of sustainable solutions for health and environment globally.

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Autor: Paula Moraga
2023, 1. Auflage, 298 Seiten, Englisch
Verlag: Taylor & Francis
ISBN-10: 100383230X
ISBN-13: 9781003832300
Erscheinungsdatum: 08.12.2023

Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.

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Dateiformat: PDF
Grösse: 53 MB
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Englisch

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