£55.79

CRC Press Geocomputation with R (Chapman & Hall/CRC The R Series)

Price data last checked 59 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

Last 32 days • 32 data points (No recent data available)

Historical
Generating forecast...
£55.79 £41.71 £44.78 £47.85 £50.93 £54.00 £57.07 25 January 2026 01 February 2026 09 February 2026 17 February 2026 25 February 2026

Price Distribution

Price distribution over 32 days • 3 price levels

Days at Price
Current Price
19 days 11 days 2 days · current 0 5 10 14 19 £43 £47 £56 Days at Price

Price Analysis

Most common price: £43 (19 days, 59.4%)

Price range: £43 - £56

Price levels: 3 different prices over 32 days

Description

Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/. Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems. Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes. Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping. All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
18 December 2020
Listed Since
24 July 2020

Barcode

No barcode data available

Similar Products You Might Like

Geocomputation with R (Chapman & Hall/CRC The R Series)
97% match

Geocomputation with R (Chapman & Hall/CRC The R Series)

£37.77 08 Jan 2026
Geocomputation with Python (Chapman & Hall/CRC The Python Series)
96% match

Geocomputation with Python (Chapman & Hall/CRC The Python Series)

Chapman and Hall/CRC

£50.11 24 Feb 2026
Geographical Data Science and Spatial Data Analysis: An Introduction in R (Spatial Analytics and GIS)
95% match

Geographical Data Science and Spatial Data Analysis: An Introduction in R (Spatial Analytics and GIS)

Sage Publications

£114.13 08 Mar 2026
Spatial Data Science: With Applications in R (Chapman & Hall/CRC The R Series)
94% match

Spatial Data Science: With Applications in R (Chapman & Hall/CRC The R Series)

CRC Press

£71.18 28 Jan 2026
Spatial Relationships Between Two Georeferenced Variables: With Applications in R
94% match

Spatial Relationships Between Two Georeferenced Variables: With Applications in R

Springer

£75.84 08 Mar 2026
Spatio-Temporal Statistics with R (Chapman & Hall/CRC The R Series)
94% match

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

CRC Press

£47.75 08 Jan 2026
Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC: The R Series)
94% match

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC: The R Series)

CRC Press

£62.31 23 Feb 2026
Model-based Geostatistics for Global Public Health: Methods and Applications (Chapman & Hall/CRC Interdisciplinary Statistics)
94% match

Model-based Geostatistics for Global Public Health: Methods and Applications (Chapman & Hall/CRC Interdisciplinary Statistics)

CRC Press

£45.32 06 Mar 2026
Geostatistics for Compositional Data with R (Use R!)
94% match

Geostatistics for Compositional Data with R (Use R!)

£84.69 12 Dec 2025
Geostatistics for Compositional Data with R (Use R!)
94% match

Geostatistics for Compositional Data with R (Use R!)

Springer

£80.65 23 Jan 2026
Model-based Geostatistics for Global Public Health: Methods and Applications (Chapman & Hall/CRC Interdisciplinary Statistics)
94% match

Model-based Geostatistics for Global Public Health: Methods and Applications (Chapman & Hall/CRC Interdisciplinary Statistics)

CRC Press

£89.23 13 Apr 2026
Spatial Statistics: GeoSpatial Information Modeling and Thematic Mapping
94% match

Spatial Statistics: GeoSpatial Information Modeling and Thematic Mapping

CRC Press

£44.99 07 Mar 2026
Spatial Statistics for Data Science: Theory and Practice with R (Chapman & Hall/CRC Data Science Series)
94% match

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

£74.54 13 Jan 2026
Spatial Microsimulation with R (Chapman & Hall/CRC The R Series)
94% match

Spatial Microsimulation with R (Chapman & Hall/CRC The R Series)

CRC Press

£174.34 14 Jan 2026
An Introduction to Data Analysis in R: Hands-on Coding, Data Mining, Visualization and Statistics from Scratch (Use R!)
94% match

An Introduction to Data Analysis in R: Hands-on Coding, Data Mining, Visualization and Statistics from Scratch (Use R!)

Springer

£59.99 20 Feb 2026
Analyzing US Census Data: Methods, Maps, and Models in R (Chapman & Hall/CRC The R Series)
94% match

Analyzing US Census Data: Methods, Maps, and Models in R (Chapman & Hall/CRC The R Series)

CRC Press

£51.54 24 Feb 2026
Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series)
94% match

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series)

CRC Press

£166.98 12 Jan 2026
Practical R for Mass Communication and Journalism (Chapman & Hall/CRC The R Series)
94% match

Practical R for Mass Communication and Journalism (Chapman & Hall/CRC The R Series)

CRC Press

£100.00 02 Mar 2026
Spatial Analysis with R: Statistics, Visualization, and Computational Methods
93% match

Spatial Analysis with R: Statistics, Visualization, and Computational Methods

CRC Press

£92.00 28 Feb 2026
Spatial Microsimulation with R (Chapman & Hall/CRC The R Series)
93% match

Spatial Microsimulation with R (Chapman & Hall/CRC The R Series)

CRC Press

£87.26 10 Mar 2026
Computational Statistics: An Introduction to R
93% match

Computational Statistics: An Introduction to R

CRC Press

£86.58 18 Apr 2026
Hands-On Geospatial Analysis with R and QGIS: A beginner's guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2
93% match

Hands-On Geospatial Analysis with R and QGIS: A beginner's guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2

Packt Publishing

£39.99 07 Mar 2026
Spatial Point Patterns: Methodology and Applications with R (Chapman & Hall/CRC Interdisciplinary Statistics)
93% match

Spatial Point Patterns: Methodology and Applications with R (Chapman & Hall/CRC Interdisciplinary Statistics)

CRC Press

£93.49 13 Jan 2026
Data Analysis and Statistics for Geography, Environmental Science, and Engineering
93% match

Data Analysis and Statistics for Geography, Environmental Science, and Engineering

CRC Press

£52.59 13 Apr 2026