Spatial Statistics and Geostatistics
Theory and Applications for Geographic Information Science and Technology
Read your book anywhere, on any device, through RedShelf's cloud based eReader.
Digital Notes and Study Tools
Built-in study tools include highlights, study guides, annotations, definitions, flashcards, and collaboration.
Have the book read to you!
The publisher of this book allows a portion of the content to be used offline.
The publisher of this book allows a portion of the content to be printed.
The publisher of this book allows a portion of the content to be copied and pasted into external tools and documents.
Additional Book Details
"Ideal for anyone who wishes to gain a practical understanding of spatial statistics and geostatistics. Difficult concepts are well explained and supported by excellent examples in R code, allowing readers to see how each of the methods is implemented in practice"
- Professor Tao Cheng, University College London
Focusing specifically on spatial statistics and including components for ArcGIS, R, SAS and WinBUGS, this book illustrates the use of basic spatial statistics and geostatistics, as well as the spatial filtering techniques used in all relevant programs and software. It explains and demonstrates techniques in:
spatial interpolation in two-dimensions
advanced topics including Bayesian methods, Monte Carlo simulation, error and uncertainty.
It is a systematic overview of the fundamental spatial statistical methods used by applied researchers in geography, environmental science, health and epidemiology, population and demography, and planning.
A companion website includes digital R code for implementing the analyses in specific chapters and relevant data sets to run the R codes.
|Sold By||SAGE Publications|
|ISBNs||9781446201749, 9781446201749, 9781446201732, 9781446201732, 9781446201749, 9781446272114, 1446291626, 9781446291627|
|Number of Pages||200|