𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition

✍ Scribed by Peter J. Diggle


Publisher
Chapman and Hall/CRC
Year
2013
Tongue
English
Leaves
297
Series
Chapman & Hall/CRC Monographs on Statistics & Applied Probability
Edition
3
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


Written by a prominent statistician and author, the first edition of this bestseller broke new ground in the then emerging subject of spatial statistics with its coverage of spatial point patterns. Retaining all the material from the second edition and adding substantial new material, Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition presents models and statistical methods for analyzing spatially referenced point process data.

Reflected in the title, this third edition now covers spatio-temporal point patterns. It explores the methodological developments from the last decade along with diverse applications that use spatio-temporally indexed data. Practical examples illustrate how the methods are applied to analyze spatial data in the life sciences.

This edition also incorporates the use of R through several packages dedicated to the analysis of spatial point process data. Sample R code and data sets are available on the author’s website.


πŸ“œ SIMILAR VOLUMES


Statistical Analysis and Modelling of Sp
✍ Janine Illian, Antti Penttinen, Helga Stoyan, Dietrich Stoyan(auth.) πŸ“‚ Library πŸ“… 2008 🌐 English

Spatial point processes are mathematical models used to describe and analyse the geometrical structure of patterns formed by objects that are irregularly or randomly distributed in one-, two- or three-dimensional space. Examples include locations of trees in a forest, blood particles on a glass plat

Statistical Analysis and Modelling of Sp
✍ Janine Illian, Antti Penttinen, Helga Stoyan, Dietrich Stoyan πŸ“‚ Library πŸ“… 2008 🌐 English

Spatial point processes are mathematical models used to describe and analyse the geometrical structure of patterns formed by objects that are irregularly or randomly distributed in one-, two- or three-dimensional space. Examples include locations of trees in a forest, blood particles on a glass plat

Spatial and Spatio-temporal Data Analysi
✍ Jean DubΓ©, Di?go Legros πŸ“‚ Library πŸ“… 2014 πŸ› Wiley-ISTE 🌐 English

This book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data.<br />Particular emphasis is put on spatial data compilation and the structuring of the connections between the observations. Descriptive analysis methods of spatial data are presented in order to

The Statistical Analysis of Spatial Patt
✍ M. S. Bartlett F.R.S (auth.) πŸ“‚ Library πŸ“… 1975 πŸ› Springer Netherlands 🌐 English

<p>In a contribution (Bartlett, 1971 a) to the Symposium on Statistical Ecology at Yale in 1969, I noted in my introductory remarks that that paper was not intended to be in any way a review of statistical techniques for analysing spatial patterns. My contribution to a conference at Sheffield in 197

Advances in Spatio-Temporal Analysis
✍ Tang X. (Ed), Kainz W. (Ed) πŸ“‚ Library πŸ“… 2007 🌐 English

Developments in geographic information technology have raised the expectations of users. A static map is no longer enough; there is now demand for a dynamic representation. Time is of great importance when operating on real-world geographical phenomena, especially when these are dynamic. Researchers

Statistical Pattern Recognition, Third E
✍ Andrew R. Webb, Keith D. Copsey(auth.) πŸ“‚ Library πŸ“… 2011 🌐 English

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions.Β  It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining,