Foundations of Geographic Information Science

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.

Foundations Of Geographic Information Science

Science & Math

Goodchild, Michael F.

Worboys, Michael F.

Duckham, Matt

Earth Sciences

Taylor&Francis

Spatial Data Quality

Fisher, Peter

Shi, Wenzhong

Reference

CRC-Press

Uncertainty in Geographical Information

Zhang, Jingxiong

As Geographic Information Systems (GIS) have developed and their applications have been extended, the issue of uncertainty has become increasingly recognized. It is highlighted by the need to demystify the inherently complex geographical world to facilitate computerization in GIS, by the inaccuracies that emerge from man-machine interactions in data acquisition, and by error propagation in geoprocessing. Users need to be well aware of the likely impacts of uncertainties in spatial analysis and decision-making. This book discusses theoretical and practical aspects of spatial data processing and uncertainties, and covers a wide range of types of errors and fuzziness and emphasizes description and modeling. High level GIS professionals, researchers and graduate students will find this a constructive book.

Uncertainty in Geographical Information (Complete Critical Guide to English Literature)

As research in the geosciences and social sciences becomes increasingly dependent on computers, applications such as geographical information systems are becoming indispensable tools. But the digital representations of phenomena that these systems require are often of poor quality, leading to inaccurate results, uncertainty, error propagation, and potentially legal liability. Spatial data quality has become an essential research topic within geographical information science. This book covers many of the cutting-edge research issues related to spatial data quality, including measurement in GIS and geostatistics, the modeling of spatial objects that have inherent uncertainty, spatial data quality control, quality management, communicating uncertainty and resolution, reasoning and decision-making, visualization of uncertainty and error metadata. Spatial Data Quality will be of interest to anyone undertaking research using GIS and related technologies.

The Third Edition of this bestselling textbook has been fully revised and updated to include the latest developments in the field and still retains its accessible format to appeal to a broad range of students.Now divided into five clear sections the book investigates the unique, complex and difficult problems that are posed by geographic information and together they build into a holistic understanding of the key principles of GIS.This is the most current, authoritative and comprehensive treatment of the field, that goes from fundamental principles to the big picture of:GIS and the New World Ordersecurity, health and well-beingdigital differentiation in GIS consumptionthe core organizing role of GIS in Geographythe greening of GISgrand challenges of GISciencescience and explanationKey features:Four-colour throughoutAssociated website with free online resourcesTeacher€™s manual available for

Geographic Information Systems & Science

Maguire, David J.

Rhind, David W.

Longley, Paul

John Wiley&Sons, Inc.

Geographic Information Systems and Science

The first edition of Geographic Information Systems and Science has taken the GIS textbook market by storm, selling over 22,000 copies since publication. It is the most current, authoritative and comprehensive treatment of the field, that goes from fundamental principles to the big picture. 
GISS 2e builds on the success of the first edition: <ul>
<li>Completely revised with a new five part structure: Foundations; Principles; Techniques; Analysis; Management and Policy</li> <li>All new personality boxes of current GIS practitioners</li> <li>New chapters on Distributed GIS, Map Production, Geovisualization, Modeling, and Managing GIS</li> <li>Specific coverage of current hot topics: <ul>
<li>GIS and the New World Order</li> <li>Security, health and well-Being</li> <li>Digital differentiation in GIS consumption</li> <li>The core organizing role of GIS in geography</li> <li>The greening of GIS</li> <li>Grand challenges of GIS science</li> <li>Science and explanation</li> </ul>
</li> </ul>
A new suite of instructor resources including a companion website with an on-line lab resource and personal student sullabus and a cehensive Instructor’s Manual that maps the textbook to various disciplines and levels of courses.

Geographical Information Systems And Science

Computers & Technology

Longley, Paul A.

Programming

wiley

Scale in Spatial Information and Analysis

Now ubiquitous in modern life, spatial data present great opportunities to transform many of the processes on which we base our everyday lives. However, not only do these data depend on the scale of measurement, but also handling these data (e.g., to make suitable maps) requires that we account for the scale of measurement explicitly. Scale in Spatial Information and Analysis describes the scales of measurement and scales of spatial variation that exist in the measured data. It provides you with a series of tools for handling spatial data while accounting for scale. The authors detail a systematic strategy for handling scale issues from geographic reality, through measurements, to resultant spatial data and their analyses. They also explore a process-pattern paradigm in approaching scale issues. This is well reflected, for example, in chapters dealing with terrain analysis, in which scale in terrain derivatives is described in relation to the processing involved in the derivation of specific terrain variables from elevation data, and area classes, which are viewed as driven by class-forming covariates. Lastly, this book provides coverage of some of the issues related to scale that are relatively under-represented in the literature, such as the effects of scale on information content in remotely sensed images, and the interaction between scale and uncertainty that is increasingly important for spatial information and analysis. By taking a rigorous, scientific approach to scale and its various meanings in relation to the geographic world, the book alleviates some of the frustration caused by dealing with issues of scale. While past research has led to an increasing number of journal articles and a few books dedicated to scale modeling and change of scale, this book helps you to develop coherent strategies for scale modeling, highlighting applicability for a variety of fields, from geomatic engineering and geoinformatics to environmental modeling.

Atkinson, Peter

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