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Modelling spatial and spatial-temporal data, Haining, Robert P. Li, Guangquan


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Цена: 6889.00р.
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Автор: Haining, Robert P. Li, Guangquan
Название:  Modelling spatial and spatial-temporal data
ISBN: 9781032175003
Издательство: Taylor&Francis
Классификация:



ISBN-10: 1032175001
Обложка/Формат: Paperback
Страницы: 640
Вес: 1.18 кг.
Дата издания: 30.09.2021
Серия: Chapman & hall/crc statistics in the social and behavioral sciences
Язык: English
Иллюстрации: 20 illustrations, black and white
Размер: 178 x 253 x 41
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: A bayesian approach
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Поставляется из: Европейский союз
Описание: This book shows how to analyze spatial and spatial-temporal data. It focuses on key datasets and data analysis, using the open source software WinBUGS, R, and GeoDa. It examines a range of different spatial and spatial-temporal data modeling situations encountered in the social and economic sciences.


Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach

Автор: Andrienko Natalia, Andrienko Gennady
Название: Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach
ISBN: 3662499967 ISBN-13(EAN): 9783662499962
Издательство: Springer
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Цена: 27950.00 р.
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Описание: Exploratory data analysis (EDA) is about detecting and describing patterns, trends, and relations in data, motivated by certain purposes of investigation.

Spatial Econometric Interaction Modelling

Автор: Patuelli
Название: Spatial Econometric Interaction Modelling
ISBN: 3319301942 ISBN-13(EAN): 9783319301945
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This contributed volume applies spatial and space-time econometric methods to spatial interaction modeling. The first part of the book addresses general cutting-edge methodological questions in spatial econometric interaction modeling, which concern aspects such as coefficient interpretation, constrained estimation, and scale effects. The second part deals with technical solutions to particular estimation issues, such as intraregional flows, Bayesian PPML and VAR estimation. The final part presents a number of empirical applications, ranging from interregional tourism competition and domestic trade to space-time migration modeling and residential relocation.

Spatial and Spatio–temporal Bayesian Models with R – INLA

Автор: Marta Blangiardo,Michela Cameletti
Название: Spatial and Spatio–temporal Bayesian Models with R – INLA
ISBN: 1118326555 ISBN-13(EAN): 9781118326558
Издательство: Wiley
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Цена: 9496.00 р.
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Описание: Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics.

Spatial and Spatio-Temporal Geostatistical Modeling and Kriging

Автор: Fernandez-Avile G., Montero Jos? M., Fern?ndez-Avil? G.
Название: Spatial and Spatio-Temporal Geostatistical Modeling and Kriging
ISBN: 1118413180 ISBN-13(EAN): 9781118413180
Издательство: Wiley
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Цена: 11238.00 р.
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Описание: Statistical Methods for Spatial and Spatio-Temporal Data Analysis provides a complete range of spatio-temporal covariance functions and discusses ways of constructing them. This book is a unified approach to modeling spatial and spatio-temporal data together with significant developments in statistical methodology with applications in R.

Theoretical aspects of spatial-temporal modeling

Название: Theoretical aspects of spatial-temporal modeling
ISBN: 4431553355 ISBN-13(EAN): 9784431553359
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The final chapter concludes with an overview of analysis for probabilistic spatial percolation methods that are relevant in the modeling of graphical networks and connectivity applications in sensor networks, which also incorporate stochastic geometry features.

Empirical Macroeconomics and Statistical Uncertainty: Spatial and Temporal Disaggregation of Regional Economic Indicators

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
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Цена: 6430.00 р.
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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.

Spatial Econometric Interaction Modelling

Автор: Patuelli Roberto, Arbia Giuseppe
Название: Spatial Econometric Interaction Modelling
ISBN: 3319807463 ISBN-13(EAN): 9783319807461
Издательство: Springer
Рейтинг:
Цена: 22359.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This contributed volume applies spatial and space-time econometric methods to spatial interaction modeling. The first part of the book addresses general cutting-edge methodological questions in spatial econometric interaction modeling, which concern aspects such as coefficient interpretation, constrained estimation, and scale effects.

Using r for bayesian spatial and spatio-temporal health modeling

Автор: Lawson, Andrew B.
Название: Using r for bayesian spatial and spatio-temporal health modeling
ISBN: 0367490129 ISBN-13(EAN): 9780367490126
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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Описание: Using R for Bayesian Spatial and Spatio-Temporal Health Modeling provides a major resource for those interested in applying Bayesian methodology in small area health data studies.

Modern Statistical Methods for Spatial and Multivariate Data

Автор: Norou Diawara
Название: Modern Statistical Methods for Spatial and Multivariate Data
ISBN: 3030114309 ISBN-13(EAN): 9783030114305
Издательство: Springer
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Цена: 11878.00 р.
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Описание:

This contributed volume features invited papers on current models and statistical methods for spatial and multivariate data. With a focus on recent advances in statistics, topics include spatio-temporal aspects, classification techniques, the multivariate outcomes with zero and doubly-inflated data, discrete choice modelling, copula distributions, and feasible algorithmic solutions. Special emphasis is placed on applications such as the use of spatial and spatio-temporal models for rainfall in South Carolina and the multivariate sparse areal mixed model for the Census dataset for the state of Iowa. Articles use simulated and aggregated data examples to show the flexibility and wide applications of proposed techniques.
Carefully peer-reviewed and pedagogically presented for a broad readership, this volume is suitable for graduate and postdoctoral students interested in interdisciplinary research. Researchers in applied statistics and sciences will find this book an important resource on the latest developments in the field. In keeping with the STEAM-H series, the editors hope to inspire interdisciplinary understanding and collaboration.

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