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Item Details
| Title:
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BEGINNER'S GUIDE TO SPATIAL, TEMPORAL AND SPATIAL-TEMPORAL ECOLOGICAL DATA ANALYSIS WITH R-INLA
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| Volume: |
Volume I |
| By: |
Alain F. Zuur |
| Format: |
Paperback |
| List price:
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£89.00 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
0957174195 |
| ISBN 13: |
9780957174191 |
| Publisher: |
HIGHLAND STATISTICS LTD |
| Pub. date: |
28 February, 2017 |
| Pages: |
374 |
| Description: |
In this volume we explain how to apply linear regression models, GLM, and GLMM to spatial, temporal, and spatial-temporal data in R-INLA. |
| Synopsis: |
In Chapter 2 we discuss an important topic: dependency. Ignoring this means that we have pseudoreplication. We present a series of examples and discuss how dependency can manifest itself. We briefly discuss frequentist tools that are available for the analysis of temporal and spatial data in Chapters 3 and 4, and we will conclude that their application is rather limited, especially if non-Gaussian distributions are required. We will therefore consider alternative models, but these require Bayesian techniques. In Chapter 5 we discuss linear mixed-effects models to analyse hierarchical (i.e. clustered or nested) data, and in Chapter 6 we outline how we add spatial and spatial-temporal dependency to regression models via spatial (and/or temporal) correlated random effects. In Chapter 7 we introduce Bayesian analysis, Markov chain Monte Carlo techniques (MCMC), and Integrated Nested Laplace Approximation (INLA). INLA allows us to apply models to spatial, temporal, or spatial-temporal data. In Chapters 8 through 16 we present a series of INLA examples. We start by applying linear regression and mixed-effects models in INLA (Chapters 8 and 9), followed by GLM examples in Chapter 10.In Chapters 11 through 13 we show how to apply GLM models on spatial data. In Chapter 14 we discuss time-series techniques and how to implement them in INLA. Finally, in Chapters 15 and 16 we analyse spatial-temporal models in INLA. |
| Publication: |
UK |
| Imprint: |
Highland Statistics Ltd |
| Returns: |
Non-returnable |
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