GIS: A Computing Perspective, Second Edition, provides a full, up-to-date overview of GIS, both Geographic Information Systems and the study of Geographic Information Science. Analyzing the subject from a computing perspective, the second edition explores conceptual and formal models needed to understand spatial information, and examines the representations and data structures needed to support adequate system performance. This volume also covers the special-purpose interfaces and architectures required to interact with and share spatial information, and explains the importance of uncertainty and time. The material on GIS architectures and interfaces as well as spatiotemporal information systems is almost entirely new. The second edition contains substantial new information, and has been completely reformatted to improve accessibility. Changes include: A new chapter on spatial uncertainty Complete revisions of the bibliography, index, and supporting diagrams Supplemental material is offset at the top of the page, as are references and links for further study Definitions of new terms are in the margins of pages where they appear, with corresponding entries in the index
This aims to make the computing principles underlying geographic databases understandable and accessible to current and potential users of such systems. It overviews database system philosophy; describes database concepts eg storage, retrieval, architecture, conceptual modelling, and database querying.It then focuses on the characteristics of GIS, spatial data and spatial databases, concluding with a discussion of current/future research trends.
Develop sophisticated mapping applications from scratch using Python 3 tools for geospatial development About This Book Build web applications based around maps and geospatial data using Python 3.x Install and use various toolkits and obtain geospatial data for use in your programs This practical, hands-on book will teach you all about geospatial development in Python Who This Book Is For This book is for experienced Python developers who want to learn about geospatial concepts, obtain and work with geospatial data, solve spatial problems, and build sophisticated map-based applications using Python. What You Will Learn Access, manipulate, and display geospatial data from within your Python programs Master the core geospatial concepts of location, distance, units, projections, and datums Read and write geospatial data in both vector and raster format Perform complex, real-world geospatial calculations using Python Store and access geospatial information in a database Use points, lines, and polygons within your Python programs Convert geospatial data into attractive maps using Python-based tools Build complete web-based mapping applications using Python In Detail Geospatial development links your data to locations on the surface of the Earth. Writing geospatial programs involves tasks such as grouping data by location, storing and analyzing large amounts of spatial information, performing complex geospatial calculations, and drawing colorful interactive maps. In order to do this well, you'll need appropriate tools and techniques, as well as a thorough understanding of geospatial concepts such as map projections, datums, and coordinate systems. This book provides an overview of the major geospatial concepts, data sources, and toolkits. It starts by showing you how to store and access spatial data using Python, how to perform a range of spatial calculations, and how to store spatial data in a database. Further on, the book teaches you how to build your own slippy map interface within a web application, and finishes with the detailed construction of a geospatial data editor using the GeoDjango framework. By the end of this book, you will be able to confidently use Python to write your own geospatial applications ranging from quick, one-off utilities to sophisticated web-based applications using maps and other geospatial data. Style and approach This book is a comprehensive course in geospatial development. The concepts you need to know are presented in a hands-on fashion with example code to help you to solve real-world problems right away. Larger programs are built up step by step while guiding you through the process of building your own sophisticated mapping applications.
If you're ready to take your knowledge of ArcGIS to the next level, then you need to learn how to work with ArcObjects. But with thousands of objects, properties, and methods, how can you ever hope to sort through the ArcObjects model diagrams? The first edition of Chang's Programming ArcObjects with VBA: A Task-Oriented Approach gave us the answer. The author's task-oriented approach shows you how to sort through the massive ArcObjects collection by examining only the objects, properties, and methods you need to perform specific tasks. What's new in the second edition? This edition adds macros and explanations for the new Geoprocessing object introduced in ArcGIS 9.x. Instead of treating this new feature in separate chapters, the author incorporates Geoprocessing code into the existing chapters. The code appears conveniently in boxes that allow you to easily compare sample macros. Get Started with Ready-to-Use Code The companion CD-ROM contains 95 complete ArcObjects macros and 33 Geoprocessing macros, along with datasets to execute the code. Each program begins with a short usage description and a list of key properties and methods, followed by the listing and explanation of the code itself. Regardless of your programming experience, Programming ArcObjects with VBA: A Task-Oriented Approach, Second Edition gives you the key to unlock the power and versatility of using ArcObjects to help you manage GIS activities.
Author: Matt Duckham,Michael F. Goodchild,Michael Worboys
Publisher: CRC Press
Category: Technology & Engineering
As the use of geographical information systems develops apace, a significant strand of research activity is being directed to the fundamental nature of geographic information. This volume contains a collection of essays and discussions on this theme. What is geographic information? What fundamental principles are associated with it? How can it be represented? How does it represent the world? How can geographic information be quantified? How can it be communicated and related to the other information sciences? How does HCI tie in with it? A number of other more specific but relevant issues are considered, such as Spatio-temporal relationships, boundaries, granularity and taxonomy. This book is a revised and updated version of a collection of presentations given by a group of distinguished researchers in the field of Geographic Information Science who gathered in Manchester in July 2001. It should be useful for graduate students as well as researchers and high-level professionals.
Combining GIS concepts and fundamental spatial thinking methodology with real programming examples, this book introduces popular Python-based tools and their application to solving real-world problems. A powerful programming language with high-level toolkits, Python is well suited to handling geo-spatial data. Teaching the fundamental programming constructs of Python, this book demonstrates Python’s integration with ArcGIS Theory and offers practical, hands-on computer exercises allowing readers to build their own mini-GIS. Comprehensive and engaging commentary, robust contents, accompanying datasets, and classroom tested exercises; this book promotes increased interactivity between instructor and student.
Peter A. Burrough,Rachael McDonnell,Rachael A. McDonnell,Christopher D. Lloyd
Author: Peter A. Burrough,Rachael McDonnell,Rachael A. McDonnell,Christopher D. Lloyd
Publisher: Oxford University Press
Category: Business & Economics
Geographical data are used in so many aspects of our lives today, from disaster relief operations to finding directions on our cellphones. Geographical Information Systems (GIS) are the software tools that turn raw data into useful information that can help us understand our world better.Principles of Geographical Information Systems presents a strong theoretical basis for GIS-often lacking in other texts-and an account of its practice. Through real-world examples, this text clearly explains the importance of spatial data and the information systems based upon them in solving arange of practical problems.
A close relationship exists between GIS and numerous applications, including cartography, photogrammetry, geodesy, surveying, computer and information science, and statistics, among others. Scientists coined the term "geographic information science (GIScience)" to describe the theory behind these fields. A Research Agenda for Geographic Information Science extensively details the issues and fundamental scientific problems that must be solved if the use of GIS in these and other fields is to advance. Immediately following the founding of the University Consortium for Geographic Information Science (UCGIS), the group identified in a Research Agenda the topics that represented major challenges to the GIS research community. The first chapter of this book delivers an introduction to the agenda and to the collective guidance that the agenda provides to researchers. Chapters 2-10 discuss nine original research challenges. Chapters 11-14 provide the basis of the agenda's four "Emerging Themes." Each chapter, written by researchers involved in the conception of the topics, discusses basic research elements, the UCGIS approach, the need for the National research agenda, contributions to knowledge and society, and offers a complete set of references. The final section draws general conclusions about the UCGIS approach and the defined research challenges.
Spatial dimensions need to be properly captured if modeling and engineering techniques are to be successfully applied in addressing environmental problems. The links between the geographical information systems (GIS) that capture this data, simulation modeling, and engineering offer tremendous possibilities for building versatile support systems for managing the environment. GIS, Environmental Modeling and Engineering focuses on using GIS and external models to solve real environmental problems, promoting the critical thinking needed for the effective applications of these systems and their analytical outputs. Divided into three major sections, this textbook first concentrates on defining GIS, identifying how data is structured, and explaining common functionality. The text examines GIS from a technological perspective, exploring the evolution of its scientific basis and its synergies with other technologies within a geocomputational paradigm. The next section explores modeling from a neutral scientific perspective in its role of simulating phenomena, as well as from a more specific perspective in its role within environmental science and engineering. The third and largest section looks at how GIS and simulation modeling are joined. It provides case studies and covers issues such as interoperability, data quality, model validity, space-time dynamics, and decision-support systems. This volume provides seniors and postgraduate students with a structured, coherent text that goes beyond introductory subject matter by enabling readers to think critically about the data acquisition process and the results they get from the technology.
1 AN INTRODUCTION TO SPATIAL DATABASES -- 2 REPRESENTATION OF SPATIAL OBJECTS -- 3 LOGICAL MODELS AND QUERY LANGUAGES -- 4 THE CONSTRAINT DATA MODEL -- 5 COMPUTATIONAL GEOMETRY -- 6 SPATIAL ACCESS METHODS -- 7 QUERY PROCESSING -- 8 COMMERCIAL SYSTEMSAn introduction to spatial databases -- Representation of spatial objects -- Logical models and query languages -- The constraint data model -- Computational geometry -- Spatial access methods -- Query processing -- Commercial systems.
This unique text shows students and professionals how geographic information systems (GIS) can guide decision making about complex community and environmental problems. The authors’ step-by-step introduction to GIS-based decision analysis methods and techniques covers important urban and regional issues (land, transportation, and water resource management) and decision processes (planning, improvement programming, and implementation). Real-world case studies demonstrate how GIS-based decision support works in a variety of contexts, with a special focus on community and regional sustainability management. Ideal for course use, the book reinforces key concepts with end-of-chapter review questions; illustrations include 18 color plates.
"Written specifically for the businessperson, Geo-Business: GIS in the Digital Organization is the first book to provide comprehensive coverage of GIS applications in the business and organizational environment. Going beyond a strictly geographical focus, this book sets GIS in the context of business information systems and other business sub-disciplines such as logistics, marketing, finance, and strategic management. It presents from an organizational perspective the advantages of spatially enabling existing enterprise systems and illustrates how GIS is applied in the real world through rigorous case study analyses of twenty companies."--BOOK JACKET.
Spatial Data Analysis introduces key principles about spatial data and provides guidance on methods for their exploration; it provides a set of key ideas or frameworks that will give the reader knowledge of the kinds of problems that can be tackled using the tools that are widely available for the analysis of spatial data.
Peter Atkinson,Giles M. Foody,Steven E. Darby,Fulong Wu
Author: Peter Atkinson,Giles M. Foody,Steven E. Darby,Fulong Wu
Publisher: CRC Press
Category: Technology & Engineering
While remote sensing gives a surface depiction of the world, its recent convergence with GIS enables richer depictions that can be used to simulate physical processes, identify trends, and make more accurate predictions. GeoDynamics is based on specialized lectures from an international field of experts, addressing remote sensing, spatially distributed modeling of land surface processes, and urban dynamics as part of the GeoComputation conference. It focuses on this symbiotic relationship in a detailed discussion of both remote sensing and spatially distributed dynamic modeling. The book analyzes recent developments in assembling geographical information such as: the ubiquitous deployment of portable measurement devices enabled with global positioning technology and its impact on the field; the management, benefits, and challenges of modeling dynamic processes in three dimensions; the implications of temporal granularity of simulations to predictions; and the appropriate representation of human factors in GIS. It illustrates the importance of incorporating interdisciplinary sciences to hone GIS capabilities, the advantage of sharing data and representations, and effective communication through visualization. This book establishes how these integrated technologies have become a central part of building spatial representations. GeoDynamics is a lasting record of this groundbreaking conference and a valuable contribution to the growing literature on GeoDynamics for academics and practitioners alike.
Web services, cloud computing, location based services, NoSQLdatabases, and Semantic Web offer new ways of accessing, analyzing, and elaborating geo-spatial information in both real-world and virtual spaces. This book explores the how-to of the most promising recurrent technologies and trends in GIS, such as Semantic GIS, Web GIS, Mobile GIS, NoSQL Geographic Databases, Cloud GIS, Spatial Data Warehousing-OLAP, and Open GIS. The text discusses and emphasizes the methodological aspects of such technologies and their applications in GIS.
10 Big Ideas about Applying the Science of Where(tm)
Author: Christian Harder
Publisher: Esri Press
This is a hands-on book about ArcGIS that you work with as much as read. By the end, using Learn ArcGIS lessons, you'll be able to say you made a story map, conducted geographic analysis, edited geographic data, worked in a 3D web scene, built a 3D model of Venice, and more.
"This 10-volume compilation of authoritative, research-based articles contributed by thousands of researchers and experts from all over the world emphasized modern issues and the presentation of potential opportunities, prospective solutions, and future directions in the field of information science and technology"--Provided by publisher.
Geographic Information has an important role to play in linking and combining datasets through shared location, but the potential is still far from fully realized because the data is not well organized and the technology to aid this process has not been available. Developments in the Semantic Web and Linked Data, however, are making it possible to integrate data based on Geographic Information in a way that is more accessible to users. Drawing on the industry experience of a geographer and a computer scientist, Linked Data: A Geographic Perspective is a practical guide to implementing Geographic Information as Linked Data. Combine Geographic Information from Multiple Sources Using Linked Data After an introduction to the building blocks of Geographic Information, the Semantic Web, and Linked Data, the book explores how Geographic Information can become part of the Semantic Web as Linked Data. In easy-to-understand terms, the authors explain the complexities of modeling Geographic Information using Semantic Web technologies and publishing it as Linked Data. They review the software tools currently available for publishing and modeling Linked Data and provide a framework to help you evaluate new tools in a rapidly developing market. They also give an overview of the important languages and syntaxes you will need to master. Throughout, extensive examples demonstrate why and how you can use ontologies and Linked Data to manipulate and integrate real-world Geographic Information data from multiple sources. A Practical, Readable Guide for Geographers, Software Engineers, and Laypersons A coherent, readable introduction to a complex subject, this book supplies the durable knowledge and insight you need to think about Geographic Information through the lens of the Semantic Web. It provides a window to Linked Data for geographers, as well as a geographic perspective for software engineers who need to understand how to work with Geographic Information. Highlighting best practices, this book helps you organize and publish Geographic Information on the Semantic Web with more confidence.
This guide takes a critical look at the theory and practices that together comprise GIS. It outlines the value--both intellectual and technical--of GIS for human geographers, recognizing the positive effects GIS has had but also pointing out its limitations. (Midwest).