Geocomputation with R

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