Cantitate/Preț
Produs

Geocomputation with R

Autor Jakub Nowosad, Jannes Muenchow, Robin Lovelace
en Limba Engleză Hardback – 25 mar 2019
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 32586 lei  3-5 săpt. +2623 lei  7-13 zile
  Taylor & Francis Ltd. – 18 dec 2020 32586 lei  3-5 săpt. +2623 lei  7-13 zile
Hardback (1) 46221 lei  3-5 săpt. +2566 lei  7-13 zile
  Taylor & Francis Ltd. – 25 mar 2019 46221 lei  3-5 săpt. +2566 lei  7-13 zile

Preț: 46221 lei

Preț vechi: 57776 lei
-20%

Puncte Express: 693

Preț estimativ în valută:
8855 9592$ 7594£

Carte disponibilă

Livrare economică 18 aprilie-02 mai
Livrare express 04-10 aprilie pentru 3565 lei

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781138304512
ISBN-10: 1138304514
Pagini: 335
Dimensiuni: 162 x 241 x 22 mm
Greutate: 0.7 kg
Editura: Taylor & Francis Ltd.

Notă biografică

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.

Cuprins

An introduction to R for spatial data. Loading and saving geographical data. Working with attribute data. Basic map making. Spatial classes. Coordinate systems/reprojecting. Working with vector data. Working with raster data. Raster-vector interaction. Kriging and spatial interpolation. Spatial data modelling. Advanced map making. Examples of applications.