An Introduction To R For Spatial Analysis And Mapping

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An Introduction to R for Spatial Analysis and Mapping

Chris Brunsdon,Lex Comber
An Introduction to R for Spatial Analysis and Mapping Book PDF

Author : Chris Brunsdon,Lex Comber
Publisher : SAGE
Page : 475 pages
File Size : 55,8 Mb
Release : 2014-04-30
Category : Social Science
ISBN : 9781473911192

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An Introduction to R for Spatial Analysis and Mapping by Chris Brunsdon,Lex Comber Pdf

"In an age of big data, data journalism and with a wealth of quantitative information around us, it is not enough for students to be taught only 100 year old statistical methods using ′out of the box′ software. They need to have 21st-century analytical skills too. This is an excellent and student-friendly text from two of the world leaders in the teaching and development of spatial analysis. It shows clearly why the open source software R is not just an alternative to commercial GIS, it may actually be the better choice for mapping, analysis and for replicable research. Providing practical tips as well as fully working code, this is a practical ′how to′ guide ideal for undergraduates as well as those using R for the first time. It will be required reading on my own courses." - Richard Harris, Professor of Quantitative Social Science, University of Bristol R is a powerful open source computing tool that supports geographical analysis and mapping for the many geography and ‘non-geography’ students and researchers interested in spatial analysis and mapping. This book provides an introduction to the use of R for spatial statistical analysis, geocomputation and the analysis of geographical information for researchers collecting and using data with location attached, largely through increased GPS functionality. Brunsdon and Comber take readers from ‘zero to hero’ in spatial analysis and mapping through functions they have developed and compiled into R packages. This enables practical R applications in GIS, spatial analyses, spatial statistics, mapping, and web-scraping. Each chapter includes: Example data and commands for exploring it Scripts and coding to exemplify specific functionality Advice for developing greater understanding - through functions such as locator(), View(), and alternative coding to achieve the same ends Self-contained exercises for students to work through Embedded code within the descriptive text. This is a definitive ′how to′ that takes students - of any discipline - from coding to actual applications and uses of R.

Geocomputation with R

Robin Lovelace,Jakub Nowosad,Jannes Muenchow
Geocomputation with R Book PDF

Author : Robin Lovelace,Jakub Nowosad,Jannes Muenchow
Publisher : CRC Press
Page : 335 pages
File Size : 41,5 Mb
Release : 2019-03-22
Category : Mathematics
ISBN : 9781351396905

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Geocomputation with R by Robin Lovelace,Jakub Nowosad,Jannes Muenchow Pdf

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.

Applied Spatial Data Analysis with R

Roger S. Bivand,Edzer Pebesma,Virgilio Gómez-Rubio
Applied Spatial Data Analysis with R Book PDF

Author : Roger S. Bivand,Edzer Pebesma,Virgilio Gómez-Rubio
Publisher : Springer Science & Business Media
Page : 405 pages
File Size : 40,6 Mb
Release : 2013-06-21
Category : Medical
ISBN : 9781461476184

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Applied Spatial Data Analysis with R by Roger S. Bivand,Edzer Pebesma,Virgilio Gómez-Rubio Pdf

Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003.

Geographical Data Science and Spatial Data Analysis

Lex Comber,Chris Brunsdon
Geographical Data Science and Spatial Data Analysis Book PDF

Author : Lex Comber,Chris Brunsdon
Publisher : SAGE
Page : 460 pages
File Size : 49,6 Mb
Release : 2020-12-02
Category : Science
ISBN : 9781526485434

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Geographical Data Science and Spatial Data Analysis by Lex Comber,Chris Brunsdon Pdf

We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial – it is collected some-where – and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges. Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a ‘learning by doing’ textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.

An Introduction to R for Spatial Analysis and Mapping

Chris Brunsdon,Lex Comber
An Introduction to R for Spatial Analysis and Mapping Book PDF

Author : Chris Brunsdon,Lex Comber
Publisher : SAGE
Page : 450 pages
File Size : 48,9 Mb
Release : 2018-12-10
Category : Social Science
ISBN : 9781526454225

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An Introduction to R for Spatial Analysis and Mapping by Chris Brunsdon,Lex Comber Pdf

This is a new edition of the accessible and student-friendly ′how to′ for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping. The authors, once again, take readers from ‘zero to hero’, updating the now standard text to further enable practical R applications in GIS, spatial analyses, spatial statistics, web-scraping and more. Revised and updated, each chapter includes: example data and commands to explore hands-on; scripts and coding to exemplify specific functionality; self-contained exercises for students to work through; embedded code within the descriptive text. The new edition includes detailed discussion of new and emerging packages within R like sf, ggplot, tmap, making it the go to introduction for all researchers collecting and using data with location attached. This is the introduction to the use of R for spatial statistical analysis, geocomputation, and GIS for all researchers - regardless of discipline - collecting and using data with location attached.

Geospatial Health Data

Paula Moraga
Geospatial Health Data Book PDF

Author : Paula Moraga
Publisher : CRC Press
Page : 217 pages
File Size : 47,9 Mb
Release : 2019-11-26
Category : Medical
ISBN : 9781000732153

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Geospatial Health Data by Paula Moraga Pdf

Geospatial health data are essential to inform public health and policy. These data can be used to quantify disease burden, understand geographic and temporal patterns, identify risk factors, and measure inequalities. Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny describes spatial and spatio-temporal statistical methods and visualization techniques to analyze georeferenced health data in R. The book covers the following topics: Manipulate and transform point, areal, and raster data, Bayesian hierarchical models for disease mapping using areal and geostatistical data, Fit and interpret spatial and spatio-temporal models with the Integrated Nested Laplace Approximations (INLA) and the Stochastic Partial Differential Equation (SPDE) approaches, Create interactive and static visualizations such as disease maps and time plots, Reproducible R Markdown reports, interactive dashboards, and Shiny web applications that facilitate the communication of insights to collaborators and policy makers. The book features fully reproducible examples of several disease and environmental applications using real-world data such as malaria in The Gambia, cancer in Scotland and USA, and air pollution in Spain. Examples in the book focus on health applications, but the approaches covered are also applicable to other fields that use georeferenced data including epidemiology, ecology, demography or criminology. The book provides clear descriptions of the R code for data importing, manipulation, modeling and visualization, as well as the interpretation of the results. This ensures contents are fully reproducible and accessible for students, researchers and practitioners.

An Introduction to Spatial Data Analysis

Martin Wegmann,Jakob Schwalb-Willmann,Stefan Dech
An Introduction to Spatial Data Analysis Book PDF

Author : Martin Wegmann,Jakob Schwalb-Willmann,Stefan Dech
Publisher : Pelagic Publishing Ltd
Page : 372 pages
File Size : 44,9 Mb
Release : 2020-09-14
Category : Science
ISBN : 9781784272142

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An Introduction to Spatial Data Analysis by Martin Wegmann,Jakob Schwalb-Willmann,Stefan Dech Pdf

This is a book about how ecologists can integrate remote sensing and GIS in their research. It will allow readers to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions. An Introduction to Spatial Data Analysis introduces spatial data handling using the open source software Quantum GIS (QGIS). In addition, readers will be guided through their first steps in the R programming language. The authors explain the fundamentals of spatial data handling and analysis, empowering the reader to turn data acquired in the field into actual spatial data. Readers will learn to process and analyse spatial data of different types and interpret the data and results. After finishing this book, readers will be able to address questions such as “What is the distance to the border of the protected area?”, “Which points are located close to a road?”, “Which fraction of land cover types exist in my study area?” using different software and techniques. This book is for novice spatial data users and does not assume any prior knowledge of spatial data itself or practical experience working with such data sets. Readers will likely include student and professional ecologists, geographers and any environmental scientists or practitioners who need to collect, visualize and analyse spatial data. The software used is the widely applied open source scientific programs QGIS and R. All scripts and data sets used in the book will be provided online at book.ecosens.org. This book covers specific methods including: what to consider before collecting in situ data how to work with spatial data collected in situ the difference between raster and vector data how to acquire further vector and raster data how to create relevant environmental information how to combine and analyse in situ and remote sensing data how to create useful maps for field work and presentations how to use QGIS and R for spatial analysis how to develop analysis scripts

Geospatial Analysis

Michael John De Smith,Michael F. Goodchild,Paul Longley
Geospatial Analysis Book PDF

Author : Michael John De Smith,Michael F. Goodchild,Paul Longley
Publisher : Troubador Publishing Ltd
Page : 417 pages
File Size : 54,8 Mb
Release : 2007
Category : Mathematics
ISBN : 9781905886609

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Geospatial Analysis by Michael John De Smith,Michael F. Goodchild,Paul Longley Pdf

Addresses a range of analytical techniques that are provided within modern Geographic Information Systems and related geospatial software products. This guide covers: the principal concepts of geospatial analysis; core components of geospatial analysis; and, surface analysis, including surface form analysis, gridding and interpolation methods.

Spatial Modeling in GIS and R for Earth and Environmental Sciences

Hamid Reza Pourghasemi,Candan Gokceoglu
Spatial Modeling in GIS and R for Earth and Environmental Sciences Book PDF

Author : Hamid Reza Pourghasemi,Candan Gokceoglu
Publisher : Elsevier
Page : 798 pages
File Size : 50,6 Mb
Release : 2019-01-18
Category : Mathematics
ISBN : 9780128156957

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Spatial Modeling in GIS and R for Earth and Environmental Sciences by Hamid Reza Pourghasemi,Candan Gokceoglu Pdf

Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography Provides an overview, methods and case studies for each application Expresses concepts and methods at an appropriate level for both students and new users to learn by example

Spatial Analysis for the Social Sciences

David Darmofal
Spatial Analysis for the Social Sciences Book PDF

Author : David Darmofal
Publisher : Cambridge University Press
Page : 263 pages
File Size : 42,9 Mb
Release : 2015-11-12
Category : Political Science
ISBN : 9780521888264

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Spatial Analysis for the Social Sciences by David Darmofal Pdf

This book shows how to model the spatial interactions between actors that are at the heart of the social sciences.

GIS and Spatial Analysis for the Social Sciences

Robert Nash Parker,Emily K. Asencio
GIS and Spatial Analysis for the Social Sciences Book PDF

Author : Robert Nash Parker,Emily K. Asencio
Publisher : Routledge
Page : 254 pages
File Size : 55,9 Mb
Release : 2009-09-10
Category : Political Science
ISBN : 9781135857592

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GIS and Spatial Analysis for the Social Sciences by Robert Nash Parker,Emily K. Asencio Pdf

This is the first book to provide sociologists, criminologists, political scientists, and other social scientists with the methodological logic and techniques for doing spatial analysis in their chosen fields of inquiry. The book contains a wealth of examples as to why these techniques are worth doing, over and above conventional statistical techniques using SPSS or other statistical packages. GIS is a methodological and conceptual approach that allows for the linking together of spatial data, or data that is based on a physical space, with non-spatial data, which can be thought of as any data that contains no direct reference to physical locations.

Applied Spatial Statistics and Econometrics

Katarzyna Kopczewska
Applied Spatial Statistics and Econometrics Book PDF

Author : Katarzyna Kopczewska
Publisher : Routledge
Page : 725 pages
File Size : 48,5 Mb
Release : 2020-11-25
Category : Business & Economics
ISBN : 9781000079784

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Applied Spatial Statistics and Econometrics by Katarzyna Kopczewska Pdf

This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity and bootstrapping. It is accompanied by a suite of data and R code on Github to help readers practise techniques via replication and exercises. This text will be a valuable resource for advanced students of econometrics, spatial planning and regional science. It will also be suitable for researchers and data scientists working with spatial data.

Remote Sensing and GIS for Ecologists

Martin Wegmann,Benjamin Leutner,Stefan Dech
Remote Sensing and GIS for Ecologists Book PDF

Author : Martin Wegmann,Benjamin Leutner,Stefan Dech
Publisher : Pelagic Publishing Ltd
Page : 410 pages
File Size : 49,9 Mb
Release : 2016-02-08
Category : Science
ISBN : 9781784270247

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Remote Sensing and GIS for Ecologists by Martin Wegmann,Benjamin Leutner,Stefan Dech Pdf

This is a book about how ecologists can integrate remote sensing and GIS in their daily work. It will allow ecologists to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions. All practical examples in this book rely on OpenSource software and freely available data sets. Quantum GIS (QGIS) is introduced for basic GIS data handling, and in-depth spatial analytics and statistics are conducted with the software packages R and GRASS. Readers will learn how to apply remote sensing within ecological research projects, how to approach spatial data sampling and how to interpret remote sensing derived products. The authors discuss a wide range of statistical analyses with regard to satellite data as well as specialised topics such as time-series analysis. Extended scripts on how to create professional looking maps and graphics are also provided. This book is a valuable resource for students and scientists in the fields of conservation and ecology interested in learning how to get started in applying remote sensing in ecological research and conservation planning.

Theory of Spatial Statistics

M.N.M. van Lieshout
Theory of Spatial Statistics Book PDF

Author : M.N.M. van Lieshout
Publisher : CRC Press
Page : 162 pages
File Size : 40,8 Mb
Release : 2019-03-19
Category : Mathematics
ISBN : 9780429627033

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Theory of Spatial Statistics by M.N.M. van Lieshout Pdf

Theory of Spatial Statistics: A Concise Introduction presents the most important models used in spatial statistics, including random fields and point processes, from a rigorous mathematical point of view and shows how to carry out statistical inference. It contains full proofs, real-life examples and theoretical exercises. Solutions to the latter are available in an appendix. Assuming maturity in probability and statistics, these concise lecture notes are self-contained and cover enough material for a semester course. They may also serve as a reference book for researchers. Features * Presents the mathematical foundations of spatial statistics. * Contains worked examples from mining, disease mapping, forestry, soil and environmental science, and criminology. * Gives pointers to the literature to facilitate further study. * Provides example code in R to encourage the student to experiment. * Offers exercises and their solutions to test and deepen understanding. The book is suitable for postgraduate and advanced undergraduate students in mathematics and statistics.

Spatial Analysis with R

Tonny J. Oyana
Spatial Analysis with R Book PDF

Author : Tonny J. Oyana
Publisher : CRC Press
Page : 281 pages
File Size : 43,9 Mb
Release : 2020-08-31
Category : Mathematics
ISBN : 9781000173475

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Spatial Analysis with R by Tonny J. Oyana Pdf

In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis. Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes. New in the Second Edition: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab exercises All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods Explains big data, data management, and data mining This second edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first-year graduate students in geography and the geosciences.