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Can I read Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny (Chapman & Hall/CRC Biostatistics Series) on EtoBox?
Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny (Chapman & Hall/CRC Biostatistics Series) by Paula Moraga (Author) is a medicine available to read on EtoBox.
What is Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny (Chapman & Hall/CRC Biostatistics Series) about?
<p>Geospatial health data are essential to inform public health and policy. These data can be used to quantify disease burden, understand geographic and temporal patterns, identify risk factors, and measure inequalities. <b>Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny</b> describes spatial and spatio-temporal statistical methods and visualization techniques to analyze georeferenced health data in R. The book covers the following topics:</p> <ul> <li>Manipulating and t
Who reads Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny (Chapman & Hall/CRC Biostatistics Series)?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Paula Moraga (Author)
- Publisher
- Chapman and Hall/CRC
- Published
- 2019
- Language
- EN
- ISBN
- 9780367357955
- Category
- medicine
- Subjects
- Medical, Mathematics, Computer Science
- Updated
- 2026-03-24
Other editions & translations
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