It takes the average reader 6 hours and 40 minutes to read Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach by Robert P. Haining
Assuming a reading speed of 250 words per minute. Learn more
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 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.
Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach by Robert P. Haining is 400 pages long, and a total of 100,000 words.
This makes it 135% the length of the average book. It also has 122% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 9 hours and 6 minutes to read Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach aloud.
Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach by Robert P. Haining is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.
To buy Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach by Robert P. Haining on Amazon click the button below.
Buy Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach on Amazon