Record Display for the EPA National Library Catalog
RECORD NUMBER: 16 OF 19
|OLS Field Name||OLS Field Data|
|Main Title||Theory of spatial statistics : a concise introduction /|
|Author||Van Lieshout, M. N. M.,|
|Call Number||QA278.2.V36 2019eb|
|ISBN||9780429052866; 0429052863; 9780429627033; 0429627033; 9780429625398; 0429625391; 9780429628672; 0429628676|
|Subjects||Spatial analysis (Statistics) ; MATHEMATICS / Applied ; MATHEMATICS / Probability & Statistics / General ; TECHNOLOGY / Environmental Engineering & TECHNOLOGY|
|Collation||1 online resource.|
OCLC-licensed vendor bibliographic record.
Due to license restrictions, this resource is available to EPA employees and authorized contractors only
Introduction -- Random field modelling and interpolation -- Models and inference for areal unit data -- Spatial point processes. Theory of Spatial Statistics: A Concise Introduction presents the most important models used in spatial statistics, including random fields andpoint processes, from a rigorous mathematical point of view and shows howto carry out statistical inference. It contains full proofs, real-life examples and theoretical exercises. Solutions to the latter are available in an appendix.Assuming maturity in probability and statistics, these concise lecturenotes are self-contained and cover enough material for a semester course. They may also serve as a reference book for researchers.Features* Presents the mathematical foundations of spatial statistics.* Contains worked examples from mining, disease mapping, forestry, soil and environmental science, and criminology.* Gives pointers to the literature to facilitate further study.* Provides example code in R to encourage the student to experiment.* Offers exercises and their solutions to test and deepen understanding.The book is suitable for postgraduate and advanced undergraduate students in mathematics and statistics.