Books written by Robin Lovelace

Spatial Microsimulation with R

The measures developed in the section are: • Pearson's correlation (r), a formula to quantify the linear correlation between the observed and final counts in each of the categories for every zone. • Total absolute error (TAE), ...
Efficient R Programming: A Practical Guide to Smarter Programming

Sveidqvist, Knut, Mike Bostock, Chris Pettitt, Mike Daines, Andrei Kashcha, and Richard Iannone. 2016. DiagrammeR: Create Graph Diagrams and Flowcharts Using R. https://CRAN.R project.org/package=DiagrammeR. Visser, Marco D., Sean M.
Geocomputation with R

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 ...
Spatial Microsimulation with R

Spatial Microsimulation with R is the first practical book to illustrate this approach in a modern statistical programming language.
Efficient R Programming: A Practical Guide to Smarter Programming

Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on a range of topics—from optimizing the set-up of RStudio to leveraging C++—that make this book a useful addition to ...
Spatial Microsimulation with R

This is the first practical book on spatial microsimulation, an approach that involves the generation, analysis, and modeling of individual-level data allocated to geographical zones.
Spatial Microsimulation with R

Spatial Microsimulation with R is the first practical book to illustrate this approach in a modern statistical programming language.
Efficient R Programming: A Practical Guide to Smarter Programming

Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on a range of topics--from optimizing the set-up of RStudio to leveraging C++--that make this book a useful addition to ...
Geocomputation with R

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 ...
Geocomputation with R

Presents a vision for an introductory and accessible textbook on geographic data analysis, modelling, and visualisation with R. The discipline of Geography captures each of these things, as well as content to get R beginners up-to-speed ...