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Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS)
With the widespread use of PDAs, wireless internet, Internet-based GIS, and 3G and 4G telecommunications, the technology supporting mobile GIS is rapidly gaining popularity and effectiveness. Dynamic and Mobile GIS: Investigating Changes in Space and Time addresses Web GIS, mobile GIS, and the modeling, processing, and representation of dynamic events, as well as current demands to update GIS representations. Providing a comprehensive overview of this emerging technology, this book highlights innovations, new ways of modeling both spatial objects and dynamic processes affecting them, and advances in visualization. Featuring contributions from established GIS workers, it begins with an introduction of extant technology and previews future developments. The book examines challenges to security and privacy and presents practical solutions to these problems while focusing on modeling approaches and exploring the need to display an appropriate level of information in a mobile environment. Concluding with a study of mobility, the book also contains practical examples of applications of mobile devices for disaster management and environmental monitoring. Dynamic and Mobile GIS: Investigating Changes in Space and Time offers detailed cases of successful applications and identifies the current cutting-edge aspects of mobile and dynamic GIS. The book also looks to the future, investigating important research directions and potential challenges.
Topographic Laser Ranging and Scanning, Second Edition, provides a comprehensive discussion of topographic LiDAR principles, systems, data acquisition, and data processing techniques. This edition presents an introduction and summary of various LiDAR systems and their principles and addresses the operational principles of the different components and ranging methods of LiDAR systems. It discusses the subsequent geometric processing of LiDAR data, with particular attention to quality, accuracy, and meeting standards and addresses the theories and practices of information extraction from LiDAR data, including terrain surface generation, forest inventory, orthoimage generation, building reconstruction, and road extraction. Written by leaders in the field, this comprehensive compilation is a must-have reference book for senior undergraduate and graduate students majoring or working in diverse disciplines, such as geomatics, geodesy, natural resources, urban planning, computer vision, and computer graphics. It is also vital resource for researchers who are interested in developing new methods and need in-depth knowledge of laser scanning and data processing and other professionals may gain the same from the broad topics addressed in this book. New in the Second Edition: A comprehensive array of new laser ranging and scanning technologies. Developments in LiDAR data format and processing techniques. Regrouping of surface modeling, representations and reconstruction. Enhanced discussions on the principles and fundamentals beyond small-footprint pulsed laser systems and new application examples. Many new examples and illustrations.
In this volume the contributors use GIS (Geographical Information
Systems) to reassess both historic and contemporary Asian countries
and traditionally Islamic areas.
While traditional apsects of GIS have been growing rapidly in recent years, new developments have focused on the geographic information service and delivery, which will realise the benefits of spatial information to the community. The analysis and application of spatial information for decision support systems is an important development in realising these benefits. This book is a collection of peer-reviewed articles presented at the ISPRS Workshop on Spatial Analysis and Decision Making in Hong Kong in 2003. It covers topics such as image-based spatial analysis and decision making; 3-D modelling and analysis; general spatial analysis methodology; web- and mobile-based analysis; knowledge-based systems; integrated systems; visualisation and representation methodology, and some application systems.
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.
This Lab Manual is a companion to the textbook Remote Sensing and Digital Image Processing with R. It covers examples of natural resource data analysis applications including numerous practical, problem-solving exercises, and case studies that use the free and open-source platform R. The intuitive, structural workflow helps students better understand a scientific approach to each case study in the book and learn how to replicate, transplant, and expand the workflow for further exploration with new data, models, and areas of interest. Features 1. Aims to expand theoretical approaches of remote sensing and digital image processing through multidisciplinary applications using R and R packages. 2. Engages students in learning theory through hands-on real-life projects. 3. All chapters are structured with solved exercises and homework and encourages readers to understand the potential and the limitations of the environments. 4. Covers data analysis in free and open-source (FOSS) R platform, which makes remote sensing accessible to anyone with a computer. 5. Explores current trends and developments in remote sensing in homework assignments with data to further explore the use of free multispectral remote sensing data, including very high spatial resolution information. Undergraduate and graduate level students will benefit from the exercises in this lab manual, as they are applicable to a variety of subjects including environmental science, agriculture engineering, as well as natural and social sciences. Students will gain a deeper understanding, and first-hand experience, with remote sensing and digital processing with a learn-by-doing methodology using applicable examples in natural resources.
The Joint 6th Biennial SGA-SEG Meeting was held in Krakow in August 2001. This volume contains 274 extended abstracts, grouped thematically under 18 session titles covering topics such as lead-zinc deposits; metamorphism affecting mineral deposits; and the environmental aspects of mining.
This book contains a selection of refereed papers presented at the
6 Specialist Meeting on Microwave Radiometry and Remote Sensing of
the Environment held in Florence, Italy on March 15-18, 1999.
This study presents recent findings on home-ownership in the 1990s. It examines economic and social issues central to the housing market and provides an analysis of "winners" and "losers": those who gained financially and those who became victims of negative equity. Covering the postwar period the authors trace developments in the housing market in relation to class, race, gender and income with special reference to the growth and evolution of home-ownership since the Second World War; the sale of council houses; the role of government in encouraging home-ownership; and changes in bank and building society lending in the 1970s and 1980s and the consequences. This accessible volume should appeal to undergraduates of urban planning, human geography, social policy and applied economics but should also be of interest and value to policy makers.
This text in the series "Innovations in GIS", continues the theme of directions in geographical information systems research established by the four previous Research UK (GISRUK) conferences. The chapters reflect the interdisciplinary nature of GIS research and includes coverage of such themes as: virtual GIS; spatial analysis; artificial intelligence; spatial agents and fuzzy systems; and space-time GIS and GIS applications.
Recent advances in theory and observations using passive microwave remote sensing have hightlighted the potential of spaceborne sensors for contributing to the required land surface measurements of soils, vegetation, snow cover and precipitation. Furthermore, the spatial resolution of passive microwave observations matches the special scales of large-scale models of land-atmosphere interactions both for data assimilation and validation. In order to stimulate and focus this research a workshop, sponsored by ESA and NASA, was organized to review the state-of-the-art in microwave radiometry related to land applications and to exchange ideas leading into new directions for future research. This volume contains the refereed papers from the aforementioned ESA/NASA workshop, which are arranged by topic, as well as the (edited) working group reports.
This book presents a comprehensive coverage of remote sensing technology used to gather information on 12 types of natural hazards in the terrestrial sphere, biosphere, hydrosphere, and atmosphere. It clarifies in detail how to yield spatial and quantitative data on a natural hazard, including its spatial distribution, severity, causes, and the likelihood of occurrence. The author explains multiple methods of attaining data, describes the pros and cons of each method, and encourages readers to choose the best method applicable to their case. The author offers a practical approach to data analysis using the most appropriate methods and software. 1. Covers all major natural hazards including hurricanes, tornadoes, wildfires, and avalanches. 2. Studies each natural hazard holistically, ranging from spatial extent, severity, impact assessment, causes, and prediction of occurrence. 3. Explains different remotely sensed data and the most appropriate method used. 4. Compares different ways of sensing and clarifies the pros and cons of any selected data or their analysis. 5. Provides ample examples of each aspect of a natural hazard studied augmented with graphic illustrations and quality assurance information. All professionals working in the field of natural hazards, senior undergraduate, and graduate students, will find in-depth approaches and sufficient information to become knowledgeable in the methods of yielding and analyzing data provided with remote sensing technology, ultimately providing a deeper understanding of natural hazards.
Geographic information system (GIS) computer technology is
revolutionizing the way we interact with information. Data, text,
drawings, maps, and images contain information that can be accessed
and used intuitively through drawings containing graphical
representations of the facilities to which they apply, e.g.,
emission stacks, sampling locations, and sites, to name only a few
examples.
The goal of How to Make Maps is to equip readers with the foundational knowledge of concepts they need to conceive, design, and produce maps in a legible, clear, and coherent manner, drawing from both classical and modern theory in cartography. This book is appropriate for graduate and undergraduate students who are beginning a course of study in geospatial sciences or who wish to begin producing their own maps. While the book assumes no a priori knowledge or experience with geospatial software, it may also serve GIS analysts and technicians who wish to explore the principles of cartographic design. The first part of the book explores the key decisions behind every map, with the aim of providing the reader with a solid foundation in fundamental cartography concepts. Chapters 1 through 3 review foundational mapping concepts and some of the decisions that are a part of every map. This is followed by a discussion of the guiding principles of cartographic design in Chapter 4-how to start thinking about putting a map together in an effective and legible form. Chapter 5 covers map projections, the process of converting the curved earth's surface into a flat representation appropriate for mapping. Chapters 6 and 7 discuss the use of text and color, respectively. Chapter 8 reviews trends in modern cartography to summarize some of the ways the discipline is changing due to new forms of cartographic media that include 3D representations, animated cartography, and mobile cartography. Chapter 9 provides a literature review of the scholarship in cartography. The final component of the book shifts to applied, technical concepts important to cartographic production, covering data quality concepts and the acquisition of geospatial data sources (Chapter 10), and an overview of software applications particularly relevant to modern cartography production: GIS and graphics software (Chapter 11). Chapter 12 concludes the book with examples of real-world cartography projects, discussing the planning, data collection, and design process that lead to the final map products. This book aspires to introduce readers to the foundational concepts-both theoretical and applied-they need to start the actual work of making maps. The accompanying website offers hands-on exercises to guide readers through the production of a map-from conception through to the final version-as well as PowerPoint slides that accompany the text.
Geographical Information Systems, Three Volume Set is a computer system used to capture, store, analyze and display information related to positions on the Earth's surface. It has the ability to show multiple types of information on multiple geographical locations in a single map, enabling users to assess patterns and relationships between different information points, a crucial component for multiple aspects of modern life and industry. This 3-volumes reference provides an up-to date account of this growing discipline through in-depth reviews authored by leading experts in the field. VOLUME EDITORS Thomas J. Cova The University of Utah, Salt Lake City, UT, United States Ming-Hsiang Tsou San Diego State University, San Diego, CA, United States Georg Bareth University of Cologne, Cologne, Germany Chunqiao Song University of California, Los Angeles, CA, United States Yan Song University of North Carolina at Chapel Hill, Chapel Hill, NC, United States Kai Cao National University of Singapore, Singapore Elisabete A. Silva University of Cambridge, Cambridge, United Kingdom
This volume aims to provide a definitive description of the various models of Mission Operations Systems (MOS) available to the Project Manager, the Operations Manager, or to the student, to aid in the understanding and design of a cost-effective mission operations system for future unmanned, remote sensing missions, either Earth-observing or planetary. The text provides an account of the Mission Operations Systems design process and of general principles of the designs themselves. Professionals designing a Mission Operations System, and students of remote sensing or other spacecraft missions who need to know how one is organized and run, should find it useful. NASA's program, the Magellan mission to Venus, is described as a detail MOS case study. The principles expressed in this book can be applied to all types of scientific remote sensing missions to effect an efficient, comprehensive and cost-effective design.
This book addresses opportunities for observation of earth surface processes using remote sensing from space. It should provide a data source for scientists studying global change. The challenges created by global environmental change demand research approaches that are worldwide in scope and interdisciplinary in application. This book is a response to the need for the interchange of ideas and experiences between researchers from those sciences studying the land surface of the earth, its form, and features, and remote sensing specialists. It is founded on the premise that attention should focus on the analysis of specific components of the earth system and on the synthesis of the findings of individual disciplines in terms of how the earth and its atmosphere function as an open system. Earth system science aims to identify how this system changes (both over human and geological timescales) and how such changes can be predicted. Reliable prediction requires scientific understanding, which in turn requires models, theories and data. Remote sensing is capable of providing such data on appropriate temporal and spatial scales.
Although GIS has been in existence for over 20 years, the systems have only recently matured to the point where they have become accessible to geographers, planners, environmental scientists and others as an affordable and practical tool for spatial analysis. Much of the GIS literature is scattered over the journals and technical reports of a number of disciplines. These sources are often not widely available especially to the newcomer to the field. This text was assembled to bring together what we believe is a balanced sampling of written works that cover important aspects of the basic principles involved in GIS, as well as to provide some examples of GIS applications.
This is a comprehensive guide to the characteristics and use of high resolution optical images from satellite-borne sensors, concentrating on sensors designed for mapping. It considers in detail the SPOT series of satellites and sensors with a ground sample distance (GSD) of less than 15m, operational since SPOT 1 and particularly the commercial sensors launched since 1999 with GSD of less than 1m The book explains to students, anyone working in map production and scientists working in fields other than mapping, the way in which high resolution imagery is obtained and the issues which surround its collection and use. It deals progressively with the fundamentals of mapping from imagery, followed by the key features in the design of sensors and methods of data storage and transmission, including data compression. Subsequent chapters cover the sensors, calibration, sensor models and the methods of determining the orientation elements and extracting coordinates from the images. Rigorous orientation, use of rational polynomial coefficients (RPCs) and approximate methods are covered.Results from tests showing the accuracy which can be obtained, generation of digital elevations models, their accuracy and the production of orthoimages are included, as are image processing and data fusion. Finally, future missions and the issues which face further development are discussed. High Resolution Optical Satellite Imagery is written by a team of acknowledged international experts and is the only comprehensive text on the subject.
Provide the applications of remote sensing in all fields through varied case studies and spatial data analysis Includes soil and land degradation, micro climates, watershed management and planning Covers remote sensing applications in broad areas of agriculture, hydrology, land use, resource analysis and urban problems Discusses usage of GPS enabled smart phones and digital gadgets used for mapping and spatial analysis Explores applications of remote sensing in disaster management and planning |
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