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The Resource Modelling spatial and spatial-temporal data : a Bayesian approach, by Robert P. Haining and Guangquan Li

Modelling spatial and spatial-temporal data : a Bayesian approach, by Robert P. Haining and Guangquan Li

Label
Modelling spatial and spatial-temporal data : a Bayesian approach
Title
Modelling spatial and spatial-temporal data
Title remainder
a Bayesian approach
Statement of responsibility
by Robert P. Haining and Guangquan Li
Creator
Contributor
Author
Subject
Language
eng
Summary
Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with small-area spatial and spatial-temporal data. It assumes a grounding in statistical theory up to the standard linear regression model. The book compares both hierarchical and spatial econometric modelling, providing both a reference and a teaching text with exercises in each chapter. The book provides a fully Bayesian, self-contained, treatment of the underlying statistical theory, with chapters dedicated to substantive applications. The book includes WinBUGS code and R code and all datasets are available online. Part I covers fundamental issues arising when modelling spatial and spatial-temporal data. Part II focuses on modelling cross-sectional spatial data and begins by describing exploratory methods that help guide the modelling process. There are then two theoretical chapters on Bayesian models and a chapter of applications. Two chapters follow on spatial econometric modelling, one describing different models, the other substantive applications. Part III discusses modelling spatial-temporal data, first introducing models for time series data. Exploratory methods for detecting different types of space-time interaction are presented, followed by two chapters on the theory of space-time separable (without space-time interaction) and inseparable (with space-time interaction) models. An applications chapter includes: the evaluation of a policy intervention; analysing the temporal dynamics of crime hotspots; chronic disease surveillance; and testing for evidence of spatial spillovers in the spread of an infectious disease. A final chapter suggests some future directions and challenges. --
Member of
Assigning source
Provided by publisher
http://library.link/vocab/creatorName
Haining, Robert P
Illustrations
  • illustrations
  • maps
Index
index present
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1982-
http://library.link/vocab/relatedWorkOrContributorName
Li, Guangquan
Series statement
Chapman & Hall/CRC statistics in the social and behavioral sciences series
http://library.link/vocab/subjectName
  • Spatial analysis (Statistics)
  • Spatial data infrastructures
  • Temporal databases
Label
Modelling spatial and spatial-temporal data : a Bayesian approach, by Robert P. Haining and Guangquan Li
Instantiates
Publication
Note
"A Chapman & Hall Books"
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
on1099543187
Dimensions
26 cm.
Extent
xxvi, 608 pages
Isbn
9781482237429
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations, maps
System control number
(OCoLC)1099543187
Label
Modelling spatial and spatial-temporal data : a Bayesian approach, by Robert P. Haining and Guangquan Li
Publication
Note
"A Chapman & Hall Books"
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
on1099543187
Dimensions
26 cm.
Extent
xxvi, 608 pages
Isbn
9781482237429
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations, maps
System control number
(OCoLC)1099543187

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