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An Introduction to R for Spatial Analysis and Mapping

An Introduction to R for Spatial Analysis and Mapping PDF Author: Chris Brunsdon
Publisher: SAGE
ISBN: 1473911192
Category : Social Science
Languages : en
Pages : 386

Book Description
"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.

An Introduction to R for Spatial Analysis and Mapping

An Introduction to R for Spatial Analysis and Mapping PDF Author: Chris Brunsdon
Publisher: SAGE
ISBN: 1473911192
Category : Social Science
Languages : en
Pages : 386

Book Description
"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.

Object-Oriented Software Engineering Using UML, Patterns, and Java

Object-Oriented Software Engineering Using UML, Patterns, and Java PDF Author: Bernd Bruegge
Publisher: Pearson Higher Ed
ISBN: 1292037091
Category : Computers
Languages : en
Pages : 723

Book Description
For courses in Software Engineering, Software Development, or Object-Oriented Design and Analysis at the Junior/Senior or Graduate level. This text can also be utilized in short technical courses or in short, intensive management courses. Shows students how to use both the principles of software engineering and the practices of various object-oriented tools, processes, and products. Using a step-by-step case study to illustrate the concepts and topics in each chapter, Bruegge and Dutoit emphasize learning object-oriented software engineer through practical experience: students can apply the techniques learned in class by implementing a real-world software project. The third edition addresses new trends, in particular agile project management (Chapter 14 Project Management) and agile methodologies (Chapter 16 Methodologies).

Geocomputation with R

Geocomputation with R PDF Author: Robin Lovelace
Publisher: CRC Press
ISBN: 1351396900
Category : Mathematics
Languages : en
Pages : 335

Book Description
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.

Dynamic Code Mapping for Limited Local Memory Systems

Dynamic Code Mapping for Limited Local Memory Systems PDF Author: Seung Chul Jung
Publisher:
ISBN:
Category : Computer storage devices
Languages : en
Pages : 70

Book Description


Programming MapPoint in .NET

Programming MapPoint in .NET PDF Author: Chandu Thota
Publisher: "O'Reilly Media, Inc."
ISBN: 0596009062
Category : Computers
Languages : en
Pages : 372

Book Description
The author demonstrates to developers how to use the web service to build custom applications with interactive mapping abilities for the desktop, the Web, and for mobile devices.

Introduction to Web Mapping

Introduction to Web Mapping PDF Author: Michael Dorman
Publisher: CRC Press
ISBN: 1000768805
Category : Science
Languages : en
Pages : 367

Book Description
A web map is an interactive display of geographic information, in the form of a web page, that you can use to tell stories and answer questions. Web maps have numerous advantages over traditional mapping techniques, such as the ability to display up-to-date or even real-time information, easy distribution to end users, and highly customized interactive content. Introduction to Web Mapping teaches you how to develop online interactive web maps and web mapping applications, using standard web technologies: HTML, CSS and JavaScript. The core technologies are introduced in Chapters 1-5, focusing on the specific aspects which are most relevant to web mapping. Chapters 6-13 then implement the material and demonstrate key concepts for building and publishing interactive web maps. The book: Gives an introduction to fundamental web technologies: HTML, CSS and JavaScript Covers Leaflet, the popular open-source JavaScript library for building web maps Describes the GeoJSON vector layer format and the Ajax technique for loading data Shows how spatial database APIs, such as the CARTO platform, can be combined with a web map to query and display large amounts of data Introduces client-side geoprocessing with the Turf.js JavaScript library, for applying spatial operators in the browser Demonstrates a complex web mapping application for collecting crowdsourced data, combining Leaflet, CARTO and the Leaflet.draw plugin Goes over 69 complete code examples and includes 9 solved exercises for building web maps and web pages (downloadable code is provided in the online supplement) The book is intended for beginners with no background in web technologies or programming. Nevertheless, some prior experience with computers and programming is beneficial. The book can be used for self-study, or as a textbook in a standard undergraduate "Web mapping" course in a Geography department, intended for students specializing in Geographic Information Systems (GIS).

Applying UML and Patterns Training Course

Applying UML and Patterns Training Course PDF Author: Craig Larman
Publisher: Prentice Hall
ISBN: 9780130479501
Category : Computers
Languages : en
Pages :

Book Description
Second Edition of the UML video course based on the book Applying UML and Patterns. This VTC will focus on object-oriented analysis and design, not just drawing UML.

Computerized Geographic Coding

Computerized Geographic Coding PDF Author: United States. Bureau of the Census
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 124

Book Description


Mapping the Code

Mapping the Code PDF Author: Joel Davis
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 312

Book Description
A behind-the-scenes look at the Human Genome Project, the mapping of the human genetic code.

The YOU Code

The YOU Code PDF Author: James Sheridan
Publisher: Dudley Court Press, LLC
ISBN: 194001381X
Category : Body, Mind & Spirit
Languages : en
Pages : 237

Book Description
Don't change who you are. Awaken to it. No matter what you've been through in life, there is a force inside you that has not and cannot be taken away from you because it is you. Its spirit is irrepressible and indestructible, and this is your search and rescue mission for it. "Fantastic and groundbreaking... This remarkable book has won a place on my bookshelf with The 5 Love Languages. Everyone should read this book." -Jack Canfield, New York Times bestselling co-author of Chicken Soup for the Soul® and The Success Principles™ International bestselling author James Sheridan uncovers the missing connections between ancient history, genetics, and a forgotten but powerful psychological theory. The YOU Code defies the conventional self-improvement message of changing who you are, and instead invites you to awaken to your true self. This groundbreaking self-improvement system also succinctly shows you: How your purpose in life is derived from your ancient and hidden lineage peace and clarity from a life built on your predestined definition of "success" Why every relationship has genetic flashpoints, and how to master them The three ancient truths that cut through all the health and diet confusion The two sacred cycles that grant you mastery of money This provocative page-turner provides definitive answers to the most important questions you'll ever ask yourself: "Who am I and why am I here?" It's time to discover what you once were and what's still living inside you, awaiting rebirth. James Sheridan is an international bestselling author, speaker, and entrepreneur. His first book, The Pandora Prescription, is a fact-based novel written to expose a medical cover-up. Sheridan has dedicated the last twenty years to finding the definitive answers for humanity's biggest questions, and his new, groundbreaking book, The You Code, represents the conclusion of his quest. You can connect with James at www.JamesSheridan.com.