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Designing Geodatabases for Transportation addresses the development of a GIS to manage data relating to the transportation facilities and service commonly organized around various modes of travel for accurate and reliable data exchange. Transportation involves several modes of travel, and although the details of each mode can be quite different, this book demonstrates how all follow a basic conceptual structure. That structure consists of an origin, a destination, a path between the two, and a conveyance that provides the ability to move along the path to establish a common data structure.
"Building accurate geodatabases is the foundation for meaningful and reliable GIS. By documenting actual case studies of successful ArcGIS implementations, Designing Geodatabases makes it easier to envision your own database plan."--Jacket.
GIS data and tools are revolutionizing transportation research and decision making, allowing transportation analysts and professionals to understand and solve complex transportation problems that were previously impossible. Here, Miller and Shaw present a comprehensive discussion of fundamental geographic science and the applications of these principles using GIS and other software tools. By providing thorough and accessible discussions of transportation analysis within a GIS environment, this volume fills a critical niche in GIS-T and GIS literature.
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.
"TRB's National Cooperative Highway Research Program (NCHRP) Synthesis 446: Use of Advance Geospatial Data, Tools, Technologies, and Information in Department of Transportation Projects that explores the development, documentation, and introduction of advanced geospatial technologies within departments of transportation.The report also provides a discussion of strengths and weaknesses of leading technologies, and how they are being used today." -- Publisher's description.
This expanded and revised fifth edition of The Geography of Transport Systems provides a comprehensive and accessible introduction to the field with a broad overview of its concepts, methods and areas of application. Aimed mainly at an undergraduate audience, it provides an overview of the spatial aspects of transportation and focuses on how the mobility of passengers and freight is linked with geography. The book is divided into ten chapters, each covering a specific conceptual dimension, including networks, modes, terminals, freight transportation, urban transportation and environmental impacts, and updated with the latest information available. The fifth edition offer new and updated material on information technologies and mobility, e-commerce, transport and the economy, mobility and society, supply chains, security, pandemics, energy and the environment and climate change. With over 140 updated figures and maps, The Geography of Transport Systems presents transportation systems at different scales ranging from global to local. This volume is an essential resource for undergraduates studying transport geography, as well as those interested in economic and urban geography, transport planning and engineering. A companion web site, which contains additional material such as photographs, maps, figures and PowerPoint presentations, has been developed for the book and can be found here: https://transportgeography.org/
In recent years, the application of intelligent transportation systems (ITS) has steadily expanded, and has become a hot spot of common interest to universities, scientific research institutes, enterprises and institutions in the transportation field. ITS is the product of the deep integration of modern high-tech in the transportation industry, and its development has accompanied that of modern high-tech. ITS is now also becoming part of the Internet of Things (IoT), and is expected to contribute significantly to making our cities smarter and connecting with other infrastructure. Although there are many monographs and textbooks on intelligent transportation, with the advancement of technology and changes in demand, the key technologies of ITS are also rapidly changing. This book chiefly focuses on the main technologies of ITS, examining them from four perspectives: “sense” (perception and management of traffic information, chapters 2 & 3), “transmission” (interaction of traffic information, chapter 4), “prediction” (prediction of traffic states, chapter 6) and “application” (intelligent transportation applications, chapters 6 through 10). Given its scope, the book can be used as a textbook for undergraduates or graduates, as well as a reference book for research institutes and enterprises. This book emphasizes the use of basis traffic engineering principles and state-of-art methodologies to develop functional designs. It largely reflects the authors’ own experience in adapting these methodologies to ITS design. For example, the book addresses various forms of data collection, models used to predict and evaluate traffic states, comprehensive description in connected vehicles, applications for users and traffic managers, etc. The knowledge gained here will allow designers to estimate the performance differences among alternatives and gauge their potential benefits for functional design purposes. To gain the most from the book, readers should be somewhat familiar with the field of traffic engineering and interested in ITS.
Computer science provides a powerful tool that was virtually unknown three generations ago. Some of the classical fields of knowledge are geodesy (surveying), cartography, and geography. Electronics have revolutionized geodetic methods. Cartography has faced the dominance of the computer that results in simplified cartographic products. All three fields make use of basic components such as the Internet and databases. The Springer Handbook of Geographic Information is organized in three parts, Basics, Geographic Information and Applications. Some parts of the basics belong to the larger field of computer science. However, the reader gets a comprehensive view on geographic information because the topics selected from computer science have a close relation to geographic information. The Springer Handbook of Geographic Information is written for scientists at universities and industry as well as advanced and PhD students.
Following in the tradition of its popular predecessor, the Manual of Geospatial Science and Technology, Second Edition continues to be the authoritative volume that covers all aspects of the field, both basic and applied, and includes a focus on initiating, planning, and managing GIS projects. This comprehensive resource, which contains contributio
"As a basis for advancing sound decision making, the Bureau of Transportation Statistics (BTS) of the U.S. Department of Transportation (USDOT) is committed to developing high-quality transportation data and information. With the understanding that geospatial data provide an important infrastructure for managing and integrating information necessary for informed decision making, BTS asked the Transportation Research Board to conduct a project to provide recommendations for improving geospatial information infrastructure among and across all modes of transportation. The objectives of this project were to (a) characterize the current practice in geospatial information technologies in transportation organizations; (b) identify problems and opportunities in coordination, communication, and cooperation on geospatial information among transportation modes; (c) suggest mechanisms for the development, management, and coordination of geospatial information technologies throughout USDOT; and (d) recommend approaches for enhancing geospatial information within transportation organizations. The intent is to provide recommendations to transportation agencies, primarily at the federal level but also at the state and local levels, to enhance decision making through rethinking institutional roles and responsibilities; building capacity and commitment; and augmenting the creation, sharing, and use of geospatial information."--Page viii.