- Discusses sf, a new foundational package that defines a new set of classes for working with spatial data in R
- Developed as an open source project on Github
- Written at an introductory level
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.
Title: Geocomputation with R (Chapman & Hall/CRC: The R Series)
Author: Muenchow, Jannes,Nowosad, Jakub,Lovelace, Robin
ISBN: 9781138304512
Binding:
Publisher: Taylor & Francis Ltd
Publication Date: 2019-03-25
Number of Pages: 335
Weight: 0.7402 kg
Geocomputation with R offers several advantages. Firstly, it uses up-to-date packages, mainly the 'sf' package for vector processing which was not available at the time the previous books were written. 'sf'' is truly a game-changer in the field of working with spatial data in R. I believe this alone makes writing the new book worthwhile. Secondly, the book offers a very broad overview, trying-and in my opinion succeeding-to encompass all non-statistical themes involved in geo-computation, including subjects such as location and transport modeling in R (chapters 7-8) which were never published before. Thirdly, the book offers a lot of illustrations and clearly demonstrates key concepts in GIS and geo-computation from the R point of view. I believe these characteristics will give the book an advantage and quite possibly make it the most popular choice in the category of spatial analysis in R for several years to come...The book can be used both as reference and as a textbook...The present book will definitely become the main textbook for this course once published.
~Michael Dorman, Ben-Gurion University of the Negev
This book sets out to explain the key ideas in geocomputation - more specifically manipulating, visualising, modelling and analysing geographical data. A further aim is to achieve all of this using only open source software. Developments of recent years have made this an achievable goal, and this book provides a good starting point for readers wishing to do this... The strength of this book is therefore on the computational aspects (for example producing R-based interactive web sites using shiny) and as a comprehensive overview of the kinds of data one is likely to work with (for example taking care to ensure raster and vector data are both well represented here). The final part showcasing real-world applications is also strong. Another highlight of the book are the exercises at the end of each chapter...Finally, the book comes with excellent resources, including an electronic version of the book itself (as a bookdown output) together with all the datasets and useful links (https://geocompr.robinlovelace.net). The emphasis of this book is perhaps most strongly on data manipulation, management and visualisation. If these are your main needs, it provides a comprehensive and readable companion.
~Urban Analytics and City Science
Geocomputation with R is an excellent reference for those who have just started to program using R as well as for professionals who already have advanced knowledge using spatial data. The functions and topics presented in the book can be easily applied to projects with small data, but also to bigger data when making use of parallel processing and cloud computing. The very active as well as supportive R-spatial community is another big advantage for considering R as the go-to tool for geocomputation.
~Revista Cartografica
Geocomputation with R offers several advantages. Firstly, it uses up-to-date packages, mainly the 'sf' package for vector processing which was not available at the time the previous books were written. 'sf'' is truly a game-changer in the field of working with spatial data in R. I believe this alone makes writing the new book worthwhile. Secondly, the book offers a very broad overview, trying-and in my opinion succeeding-to encompass all non-statistical themes involved in geo-computation, including subjects such as location and transport modeling in R (chapters 7-8) which were never published before. Thirdly, the book offers a lot of illustrations and clearly demonstrates key concepts in GIS and geo-computation from the R point of view. I believe these characteristics will give the book an advantage and quite possibly make it the most popular choice in the category of spatial analysis in R for several years to come...The book can be used both as reference and as a textbook...The present book will definitely become the main textbook for this course once published.
~Michael Dorman, Ben-Gurion University of the Negev
This book sets out to explain the key ideas in geocomputation - more specifically manipulating, visualising, modelling and analysing geographical data. A further aim is to achieve all of this using only open source software. Developments of recent years have made this an achievable goal, and this book provides a good starting point for readers wishing to do this... The strength of this book is therefore on the computational aspects (for example producing R-based interactive web sites using shiny) and as a comprehensive overview of the kinds of data one is likely to work with (for example taking care to ensure raster and vector data are both well represented here). The final part showcasing real-world applications is also strong. Another highlight of the book are the exercises at the end of each chapter...Finally, the book comes with excellent resources, including an electronic version of the book itself (as a bookdown output) together with all the datasets and useful links (https://geocompr.robinlovelace.net). The emphasis of this book is perhaps most strongly on data manipulation, management and visualisation. If these are your main needs, it provides a comprehensive and readable companion.
~Urban Analytics and City Science
Geocomputation with R is an excellent reference for those who have just started to program using R as well as for professionals who already have advanced knowledge using spatial data. The functions and topics presented in the book can be easily applied to projects with small data, but also to bigger data when making use of parallel processing and cloud computing. The very active as well as supportive R-spatial community is another big advantage for considering R as the go-to tool for geocomputation.
~Revista Cartografica
