Jungle book download Geocomputation with R (English literature) 9781138304512
Geocomputation with R by Robin Lovelace, Jakub Nowosad, Jannes Muenchow
- Geocomputation with R
- Robin Lovelace, Jakub Nowosad, Jannes Muenchow
- Page: 354
- Format: pdf, ePub, mobi, fb2
- ISBN: 9781138304512
- Publisher: Taylor & Francis
Download Geocomputation with R
Jungle book download Geocomputation with R (English literature) 9781138304512
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.
Preface
The book is designed for intermediate-to-advanced R users interested in geocomputation and R beginners who have prior experience with geographic data.
12 Transportation - Geocomputation with R - Robin Lovelace
12 Transportation | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R,
15 Conclusion - Geocomputation with R - Robin Lovelace
A characteristic of R is that there are often multiple ways to achieve the same result. Geocomputation with R is no exception. The code chunk below illustrates
Geocomputation with R: open-source spatial data analysis (in Polish
Geocomputation with R: open-source spatial data analysis (in Polish). by Jakub Nowosad's website · November 14, 2018. This article is originally published at
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Get FREE shipping on Geocomputation with R by Robin Lovelace, from wordery. com. Geocomputation with R is for people who want to analyze, visualize and
2 Geographic data in R | Geocomputation with R
2 Geographic data in R | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based
What is Geocomputation? - Geocomputation with R
Geocomputation with R. An overview of the field and introduction to the book. Robin Lovelace. GeoStat 2018(-08-20). 1 / 36
1 Introduction | Geocomputation with R
1 Introduction. This book is about using the power of computers to do things with geographic data. It teaches a range of spatial skills, including: reading, writing
13 Geomarketing | Geocomputation with R
A book on geographic data with R. This is one of the great strengths of geocomputation and GIScience in general. Concepts and methods are transferable to
geocompr/geocompkg: Geocomputation with R - Rdrr.io
Vignettes and solutions to supplement the book Geocomputation with R.
9 Bridges to GIS software | Geocomputation with R - RStudio Connect
A book on geographic data with R. The term statistical geocomputation emphasizes the strength of combining R's data science power with the geoprocessing
Jakub Nowosad's website
Geocomputation, Pattern Analysis, Spatial Data Mining, Geostatistics, R, GIS, Software, R Packages, Spatial Analysis.
3 Attribute data operations | Geocomputation with R
These non-spatial operations have spatial equivalents: the [ operator in base R, for example, works equally for subsetting objects based on their attribute and
Geocomputation with R: workshop at eRum | R-bloggers
Together we're writing an open source book called Geocomputation with R. The project aims to introducing people to R's rapidly evolving
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