Analyzing And Visualizing Worldwide Spatial Data

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An Introduction to Spatial Data Analysis

Author : Martin Wegmann
Publisher : Pelagic Publishing Ltd
ISBN 13 : 1784272140
Total Pages : 372 pages
Book Rating : 4.7/5 (842 download)

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Book Synopsis An Introduction to Spatial Data Analysis by : Martin Wegmann

Download or read book An Introduction to Spatial Data Analysis written by Martin Wegmann and published by Pelagic Publishing Ltd. This book was released on 2020-09-14 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Cartography

Author : Menno-Jan Kraak
Publisher : Guilford Press
ISBN 13 : 1609181948
Total Pages : 244 pages
Book Rating : 4.6/5 (91 download)

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Book Synopsis Cartography by : Menno-Jan Kraak

Download or read book Cartography written by Menno-Jan Kraak and published by Guilford Press. This book was released on 2011-06-09 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrating cutting-edge technology with traditional cartographic principles, this text provides a framework for effectively visualizing and analyzing geospatial data. It gives students critical concepts and methods for harnessing the enormous amount of geospatial data that is available on the Internet and creating maps that can support real-world decision making. The writing style is straightforward and accessible. Illustrated throughout with highly instructive diagrams and sample maps, the book includes 58 color plates.

Spatial Analysis

Author : Tonny J. Oyana
Publisher : CRC Press
ISBN 13 : 1498707645
Total Pages : 316 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Spatial Analysis by : Tonny J. Oyana

Download or read book Spatial Analysis written by Tonny J. Oyana and published by CRC Press. This book was released on 2015-07-28 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introductory text for the next generation of geospatial analysts and data scientists, Spatial Analysis: Statistics, Visualization, and Computational Methods focuses on the fundamentals of spatial analysis using traditional, contemporary, and computational methods. Outlining both non-spatial and spatial statistical concepts, the authors present p

Applied Spatial Data Analysis with R

Author : Roger S. Bivand
Publisher : Springer Science & Business Media
ISBN 13 : 1461476186
Total Pages : 414 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Applied Spatial Data Analysis with R by : Roger S. Bivand

Download or read book Applied Spatial Data Analysis with R written by Roger S. Bivand and published by Springer Science & Business Media. This book was released on 2013-06-21 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

An Introduction to R for Spatial Analysis and Mapping

Author : Chris Brunsdon
Publisher : SAGE
ISBN 13 : 1473911192
Total Pages : 386 pages
Book Rating : 4.4/5 (739 download)

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Book Synopsis An Introduction to R for Spatial Analysis and Mapping by : Chris Brunsdon

Download or read book An Introduction to R for Spatial Analysis and Mapping written by Chris Brunsdon and published by SAGE. This book was released on 2014-04-30 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Geo-Intelligence and Visualization through Big Data Trends

Author : Bozkaya, Burçin
Publisher : IGI Global
ISBN 13 : 1466684666
Total Pages : 349 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Geo-Intelligence and Visualization through Big Data Trends by : Bozkaya, Burçin

Download or read book Geo-Intelligence and Visualization through Big Data Trends written by Bozkaya, Burçin and published by IGI Global. This book was released on 2015-08-19 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: The last decade has seen a tremendous increase in the volume of data collected from personal and professional sources. While there have been many computational approaches available for analyzing these datasets, there is also growing interest in visualizing and making sense of spatio-temporal data. Geo-Intelligence and Visualization through Big Data Trends provides an overview of recent developments, applications, and research on the topic of spatio-temporal big data analysis and visualization, as well as location intelligence and analytics. Focusing on emerging trends in this dynamic field, this publication is an innovative resource aimed at the scholarly and professional interests of academicians, practitioners, and students.

Geocomputation with R

Author : Robin Lovelace
Publisher : CRC Press
ISBN 13 : 1351396900
Total Pages : 335 pages
Book Rating : 4.3/5 (513 download)

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Book Synopsis Geocomputation with R by : Robin Lovelace

Download or read book Geocomputation with R written by Robin Lovelace and published by CRC Press. This book was released on 2019-03-22 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Spatial Analysis with R

Author : Tonny J. Oyana
Publisher : CRC Press
ISBN 13 : 100017347X
Total Pages : 281 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis Spatial Analysis with R by : Tonny J. Oyana

Download or read book Spatial Analysis with R written by Tonny J. Oyana and published by CRC Press. This book was released on 2020-08-31 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Spatial Data Analysis

Author : Robert P. Haining
Publisher : Cambridge University Press
ISBN 13 : 9780521774376
Total Pages : 462 pages
Book Rating : 4.7/5 (743 download)

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Book Synopsis Spatial Data Analysis by : Robert P. Haining

Download or read book Spatial Data Analysis written by Robert P. Haining and published by Cambridge University Press. This book was released on 2003-04-17 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial Data Analysis: Theory and Practice, first published in 2003, provides a broad ranging treatment of the field of spatial data analysis. It begins with an overview of spatial data analysis and the importance of location (place, context and space) in scientific and policy related research. Covering fundamental problems concerning how attributes in geographical space are represented to the latest methods of exploratory spatial data analysis and spatial modeling, it is designed to take the reader through the key areas that underpin the analysis of spatial data, providing a platform from which to view and critically appreciate many of the key areas of the field. Parts of the text are accessible to undergraduate and master's level students, but it also contains sufficient challenging material that it will be of interest to geographers, social and economic scientists, environmental scientists and statisticians, whose research takes them into the area of spatial analysis.

Cartography

Author : Menno-Jan Kraak
Publisher : Routledge
ISBN 13 : 1317903110
Total Pages : 211 pages
Book Rating : 4.3/5 (179 download)

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Book Synopsis Cartography by : Menno-Jan Kraak

Download or read book Cartography written by Menno-Jan Kraak and published by Routledge. This book was released on 2013-11-05 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This revised and updated edition integrates the latest in modern technology with traditional cartographic principles. While providing a solid conceptual foundation in cartographic methodology, the text also introduces the very latest advances that have greatly influenced cartographic techniques. The new edition reflects the increasing importance of cartography as the basis for further geographical study, the text has been updated throughout and chapters on the latest developments in cartography have been integrated. There is also a more widespread emphasis on multimedia and the web.

Analyzing and Visualizing Worldwide Spatial Data

Author : Leslie Kennedy
Publisher :
ISBN 13 : 9781479245413
Total Pages : 96 pages
Book Rating : 4.2/5 (454 download)

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Book Synopsis Analyzing and Visualizing Worldwide Spatial Data by : Leslie Kennedy

Download or read book Analyzing and Visualizing Worldwide Spatial Data written by Leslie Kennedy and published by . This book was released on 2012-09-04 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the impact of globalization and changes in the forces and relations of production, risks are no longer posed in isolation from each other. The intrinsic character of global threats and their low frequency of occurrence pose certain challenges in the operationalization of risk events. In a similar vein, the basic differences between the global risks themselves require analysts to approach each threat using a strategy that combines common methodology with analysis that is unique to each condition. The main intent of this book is to return to the principle that we can understand global crises not just on the basis of knowing what occurred prior to the incident that we are interested in, but also that we can understand the social, economic, political, and physical contexts in which crises occur. We consider the temporal as well as spatial factors that precede, interact with, and follow the incident's occurrence. This book equips the reader with the skills for responding to conceptual and methodological differences, challenges, and novelties of the data analysis process, and demonstrates effective ways to apply mapping techniques and risk terrain modeling methods to transnational data. We use the outbreaks of governmental internal armed conflict to demonstrate an application of risk terrain modeling (RTM) for spatial risk assessment at both the national and sub-national levels on a global extent. RTM can give actionable meaning to the relationships that exist between place-based indicators and damaging outcomes. Planners can use RTM methods to develop strategic models to forecast where problems are likely to emerge and to engage in steps that might reduce risks in the future and, potentially, avert crises altogether.In the first part of this book, we review the risk terrain modeling approach to spatial risk assessment and present a short overview of the theoretical underpinnings of globalization theory. In the second part we detail the technical steps of RTM for analysts to follow using ArcGIS software. In the third and final part, we present ideas about how RTM can be used for strategic and tactical decision-making.

Geospatial Analysis with SQL

Author : Bonny P McClain
Publisher : Packt Publishing Ltd
ISBN 13 : 1835084559
Total Pages : 234 pages
Book Rating : 4.8/5 (35 download)

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Book Synopsis Geospatial Analysis with SQL by : Bonny P McClain

Download or read book Geospatial Analysis with SQL written by Bonny P McClain and published by Packt Publishing Ltd. This book was released on 2023-10-03 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage the power of SQL to perform geospatial analysis and increase your speed and efficiency working with a variety of spatial applications such as PostGIS and QGIS Key Features Follow along with actionable instructions with this practical guide Become well-versed in advanced spatial modeling and machine learning techniques Learn best practices for performing spatial analysis from an expert spatial data analyst Book DescriptionGeospatial analysis is industry agnostic and a powerful tool for answering location questions. Combined with the power of SQL, developers and analysts worldwide rely on database integration to solve real-world spatial problems. This book introduces skills to help you detect and quantify patterns in datasets through data exploration, visualization, data engineering, and the application of analysis and spatial techniques. You will begin by exploring the fundamentals of geospatial analysis where you’ll learn about the importance of geospatial analysis and how location information enhances data exploration. Walter Tobler’s second law of geography states, “the phenomenon external to a geographic area of interest affects what goes on inside.” This quote will be the framework of the geospatial questions we will explore. You’ll then observe the framework of geospatial analysis using SQL while learning to create spatial databases and SQL queries and functions. By the end of this book, you will have an expanded toolbox of analytic skills such as PostGIS and QGIS to explore data questions and analysis of spatial information.What you will learn Understand geospatial fundamentals as a basis for learning spatial SQL Generate point, line, and polygon data with SQL Use spatial data types to abstract and encapsulate spatial structures Work with open source GIS combined with plug-ins Visualize spatial data and expand QGIS functionality with Postgres Apply location data to leverage spatial analytics Perform single-layer and multiple-layer spatial analyses Who this book is forThis book is for anyone looking to leverage their SQL knowledge to perform geospatial analysis. GIS analysts, data analysts, and data scientists with a basic understanding of both geospatial analysis and SQL will find this book useful.

Scalable Interactive Visualization

Author : Achim Ebert
Publisher : MDPI
ISBN 13 : 3038428035
Total Pages : 245 pages
Book Rating : 4.0/5 (384 download)

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Book Synopsis Scalable Interactive Visualization by : Achim Ebert

Download or read book Scalable Interactive Visualization written by Achim Ebert and published by MDPI. This book was released on 2018-05-08 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Scalable Interactive Visualization" that was published in Informatics

Cartography

Author : Menno-Jan Kraak
Publisher : Pearson Education
ISBN 13 : 9780130888907
Total Pages : 236 pages
Book Rating : 4.8/5 (889 download)

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Book Synopsis Cartography by : Menno-Jan Kraak

Download or read book Cartography written by Menno-Jan Kraak and published by Pearson Education. This book was released on 2003 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cartography has been extensively rewritten to incorporate an international focus. The text is designed to assist with the visualisation of spatial data, essential for analytical and communication purposes.

Perspectives on Spatial Data Analysis

Author : Luc Anselin
Publisher : Springer Science & Business Media
ISBN 13 : 3642019765
Total Pages : 291 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Perspectives on Spatial Data Analysis by : Luc Anselin

Download or read book Perspectives on Spatial Data Analysis written by Luc Anselin and published by Springer Science & Business Media. This book was released on 2009-12-24 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial data analysis has seen explosive growth in recent years. Both in mainstream statistics and econometrics as well as in many applied ?elds, the attention to space, location, and interaction has become an important feature of scholarly work. The methodsdevelopedto dealwith problemsofspatialpatternrecognition,spatialau- correlation, and spatial heterogeneity have seen greatly increased adoption, in part due to the availability of user friendlydesktopsoftware. Throughhis theoretical and appliedwork,ArthurGetishasbeena majorcontributing?gureinthisdevelopment. In this volume, we take both a retrospective and a prospective view of the ?eld. We use the occasion of the retirement and move to emeritus status of Arthur Getis to highlight the contributions of his work. In addition, we aim to place it into perspective in light of the current state of the art and future directions in spatial data analysis. To this end, we elected to combine reprints of selected classic contributions by Getiswithchapterswrittenbykeyspatialscientists.Thesescholarswerespeci?cally invited to react to the earlier work by Getis with an eye toward assessing its impact, tracing out the evolution of related research, and to re?ect on the future broadening of spatial analysis. The organizationof the book follows four main themes in Getis’ contributions: • Spatial analysis • Pattern analysis • Local statistics • Applications For each of these themes, the chapters provide a historical perspective on early methodological developments and theoretical insights, assessments of these c- tributions in light of the current state of the art, as well as descriptions of new techniques and applications.

Methods for Visualization and Analysis of Geo-spatial Data

Author : Pushpak Karnick
Publisher :
ISBN 13 :
Total Pages : 252 pages
Book Rating : 4.:/5 (793 download)

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Book Synopsis Methods for Visualization and Analysis of Geo-spatial Data by : Pushpak Karnick

Download or read book Methods for Visualization and Analysis of Geo-spatial Data written by Pushpak Karnick and published by . This book was released on 2009 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Spatial Data Analysis

Author : Manfred M. Fischer
Publisher : Springer Science & Business Media
ISBN 13 : 3642217206
Total Pages : 85 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Spatial Data Analysis by : Manfred M. Fischer

Download or read book Spatial Data Analysis written by Manfred M. Fischer and published by Springer Science & Business Media. This book was released on 2011-08-05 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data. Spatial data analysis focuses on detecting patterns, and on exploring and modelling relationships between them in order to understand the processes responsible for their emergence. In this way, the role of space is emphasised , and our understanding of the working and representation of space, spatial patterns, and processes is enhanced. In applied research, the recognition of the spatial dimension often yields different and more meaningful results and helps to avoid erroneous conclusions. This book aims to provide an introduction into spatial data analysis to graduates interested in applied statistical research. The text has been structured from a data-driven rather than a theory-based perspective, and focuses on those models, methods and techniques which are both accessible and of practical use for graduate students. Exploratory techniques as well as more formal model-based approaches are presented, and both area data and origin-destination flow data are considered.