Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Diggle, Peter J.
Автор: Baddeley Название: Spatial Point Patterns ISBN: 1482210207 ISBN-13(EAN): 9781482210200 Издательство: Taylor&Francis Рейтинг: Цена: 100030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Modern Statistical Methodology and Software for Analyzing Spatial Point Patterns
Spatial Point Patterns: Methodology and Applications with R shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data. Making the techniques accessible to non-mathematicians, the authors draw on their 25 years of software development experiences, methodological research, and broad scientific collaborations to deliver a book that clearly and succinctly explains concepts and addresses real scientific questions.
Practical Advice on Data Analysis and Guidance on the Validity and Applicability of Methods
The first part of the book gives an introduction to R software, advice about collecting data, information about handling and manipulating data, and an accessible introduction to the basic concepts of point processes. The second part presents tools for exploratory data analysis, including non-parametric estimation of intensity, correlation, and spacing properties. The third part discusses model-fitting and statistical inference for point patterns. The final part describes point patterns with additional "structure," such as complicated marks, space-time observations, three- and higher-dimensional spaces, replicated observations, and point patterns constrained to a network of lines.
Easily Analyze Your Own Data
Throughout the book, the authors use their spatstat package, which is free, open-source code written in the R language. This package provides a wide range of capabilities for spatial point pattern data, from basic data handling to advanced analytic tools. The book focuses on practical needs from the user's perspective, offering answers to the most frequently asked questions in each chapter.
Автор: Okabe Название: Spatial Analysis Along Networks - Statistical and Computational Methods ISBN: 0470770813 ISBN-13(EAN): 9780470770818 Издательство: Wiley Рейтинг: Цена: 88650.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: * Presents a much-needed practical guide to statistical spatial analysis on a network, in a logical, user-friendly order. * Introduces the preliminary methods involved, before detailing the advanced, computational methods, enabling the readers a complete understanding of the advanced topics.
Название: Statistical methods for spatio-temporal systems ISBN: 0367390116 ISBN-13(EAN): 9780367390112 Издательство: Taylor&Francis Рейтинг: Цена: 65320.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling and will promote advances in research and a greater understanding between the mechanistic and the statistical modeling communities.
Contributed by leading researchers in the field, each self-contained chapter starts with an introduction of the topic and progresses to recent research results. Presenting specific examples of epidemic data of bovine tuberculosis, gastroenteric disease, and the U.K. foot-and-mouth outbreak, the first chapter uses stochastic models, such as point process models, to provide the probabilistic backbone that facilitates statistical inference from data. The next chapter discusses the critical issue of modeling random growth objects in diverse biological systems, such as bacteria colonies, tumors, and plant populations. The subsequent chapter examines data transformation tools using examples from ecology and air quality data, followed by a chapter on space-time covariance functions. The contributors then describe stochastic and statistical models that are used to generate simulated rainfall sequences for hydrological use, such as flood risk assessment. The final chapter explores Gaussian Markov random field specifications and Bayesian computational inference via Gibbs sampling and Markov chain Monte Carlo, illustrating the methods with a variety of data examples, such as temperature surfaces, dioxin concentrations, ozone concentrations, and a well-established deterministic dynamical weather model.
Автор: Finkenstadt, Barbel Название: Statistical Methods for Spatio-Temporal Systems ISBN: 1584885939 ISBN-13(EAN): 9781584885931 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Shaddick, Gavin Название: Spatio-Temporal Methods in Environmental Epidemiology ISBN: 0367783460 ISBN-13(EAN): 9780367783464 Издательство: Taylor&Francis Рейтинг: Цена: 43890.00 T Наличие на складе: Поставка под заказ.
Автор: Lawson, Andrew B. Название: Using R for Bayesian Spatial and Spatio-Temporal Health Modeling ISBN: 0367760673 ISBN-13(EAN): 9780367760670 Издательство: Taylor&Francis Рейтинг: Цена: 46950.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Andrew Zammit-Mangion; Michael Dewar; Visakan Kadi Название: Modeling Conflict Dynamics with Spatio-temporal Data ISBN: 3319010379 ISBN-13(EAN): 9783319010373 Издательство: Springer Рейтинг: Цена: 47880.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book also demonstrates the methods on the WikiLeaks Afghan War Diary, the results showing that this approach allows deeper insights into conflict dynamics and allows a strikingly statistically accurate forward prediction of armed opposition group activity in 2010, based solely on data from preceding years.
Автор: Sahu Sujit Название: Bayesian Modeling of Spatio-Temporal Data with R ISBN: 0367277980 ISBN-13(EAN): 9780367277987 Издательство: Taylor&Francis Рейтинг: Цена: 100030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is designed to make spatio-temporal modeling and analysis understandable to students and researchers, mathematicians and statisticians and practitioners in the applied sciences. By avoiding hardcore math and calculus, this book aims to be a bridge that removes the statistical knowledge gap from among the applied scientists.
Автор: Wikle, Christopher K. (university Of Missouri, Columbia, Usa) Zammit-mangion, Andrew Cressie, Noel Название: Spatio-temporal statistics with r ISBN: 1138711136 ISBN-13(EAN): 9781138711136 Издательство: Taylor&Francis Рейтинг: Цена: 53070.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Donald B. Percival, Andrew T. Walden Название: Spectral Analysis for Univariate Time Series ISBN: 1107028140 ISBN-13(EAN): 9781107028142 Издательство: Cambridge Academ Рейтинг: Цена: 97150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.
Автор: Pipień Mateusz, Roszkowska Sylwia Название: Empirical Macroeconomics and Statistical Uncertainty: Spatial and Temporal Disaggregation of Regional Economic Indicators ISBN: 0367540789 ISBN-13(EAN): 9780367540784 Издательство: Taylor&Francis Рейтинг: Цена: 42870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses one of the most important research activities in empirical macroeconomics. It provides a course of advanced but intuitive methods and tools enabling the spatial and temporal disaggregation of basic macroeconomic variables and the assessment of the statistical uncertainty of the outcomes of disaggregation.
Название: Discovering hidden temporal patterns in behavior and interaction ISBN: 1493932489 ISBN-13(EAN): 9781493932481 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Discovering Hidden Temporal Patterns in Behavior and Interaction
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