Statistical Methods for Spatial Data Analysis: Texts in Statistical Science (Chapman & Hall/CRC Texts in Statistical Science) - Image 1

£47.41

Chapman and Hall/CRC Statistical Methods for Spatial Data Analysis: Texts in Statistical Science (Chapman & Hall/CRC Texts in Statistical Science)

Name: Statistical Methods for Spatial Data Analysis: Texts in Statistical Science (Chapman & Hall/CRC Texts in Statistical Science)
Brand: Chapman and Hall/CRC
Price: 47.41 GBP
Availability: InStock

Software & Graphics

This is the most expensive it has ever been. Walk away.

£47 today · previous high £47 · all-time low £40

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 441 days • 441 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 441 days • 6 price levels

Days at Price

Current Price

Price Analysis

Most common price: £43 (210 days, 47.6%)

Price range: £40 - £47

Price levels: 6 different prices over 441 days

Description

Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that incorporates all of these factors by presenting a balanced exposition that explores both the theoretical foundations of the field of spatial statistics as well as practical methods for the analysis of spatial data. This book is a comprehensive and illustrative treatment of basic statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. It introduces essential tools and approaches including: measures of autocorrelation and their role in data analysis; the background and theoretical framework supporting random fields; the analysis of mapped spatial point patterns; estimation and modeling of the covariance function and semivariogram; a comprehensive treatment of spatial analysis in the spectral domain; and spatial prediction and kriging. The volume also delivers a thorough analysis of spatial regression, providing a detailed development of linear models with uncorrelated errors, linear models with spatially-correlated errors and generalized linear mixed models for spatial data. It succinctly discusses Bayesian hierarchical models and concludes with reviews on simulating random fields, non-stationary covariance, and spatio-temporal processes. Additional material on the CRC Press website supplements the content of this book. The site provides data sets used as examples in the text, software code that can be used to implement many of the principal methods described and illustrated, and updates to the text itself.

Product Specifications

Brand: Chapman and Hall/CRC
Format: paperback
ASIN: 1032477911
Category: Books > Subjects > Computing & Internet > Software & Graphics
Domain: Amazon UK
Release Date: 21 January 2023
Listed Since: 01 December 2022

Barcode

No barcode data available

Chapman and Hall/CRC Statistical Methods for Spatial Data Analysis: Texts in Statistical Science (Chapman & Hall/CRC Texts in Statistical Science)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Spatial Analysis (Wiley Series in Probability and Statistics)

Springer - Geostatistics for Engineers and Earth Scientists

Spatial Statistics: GeoSpatial Information Modeling and Thematic Mapping

Springer Geostatistics for Engineers and Earth Scientists

Spatial Statistics for Data Science: Theory and Practice with R (Chapman & Hall/CRC Data Science Series)

Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties (Wiley Series in Probability and Statistics)

Temporal GIS: Advanced Functions for Field-Based Applications

geoENV II ― Geostatistics for Environmental Applications: Proceedings of the Second European Conference on Geostatistics for Environmental ... (Quantitative Geology and Geostatistics, 10)

Spatial Statistics and Geostatistics: Theory and Applications for Geographic Information Science and Technology (SAGE Advances in Geographic Information Science and Technology Series)

Geostatistics for Environmental Scientists (Statistics in Practice)

Geostatistics with Applications in Earth Sciences

Springer - Spatial Modeling Principles in Earth Sciences

Field Sampling for Environmental Science and Management

Routledge Field Sampling for Environmental Science and Management

Semantic Kriging for Spatio-temporal Prediction: 839 (Studies in Computational Intelligence, 839)

Solved Problems in Geostatistics

Basic Linear Geostatistics

Modern Spatial Econometrics in Practice: A Guide to GeoDa, GeoDaSpace and PySAL

Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Spatio-Temporal Statistics with R (Chapman & Hall/CRC The R Series)

An Introduction to Spatial Data Science with GeoDa: Volume 1: Exploring Spatial Data

Interpolation of Spatial Data: Some Theory for Kriging (Springer Series in Statistics)

Springer Spatial Statistics and Modeling - Statistics Series

Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects (Chapman & Hall/CRC Texts in Statistical Science)