4 edition of Uncertainty in geographical information found in the catalog.
Uncertainty in geographical information
Includes bibliographical references (p. -253) and index
|Statement||Jingxiong Zhang and Michael F. Goodchild|
|Series||Research monographs in geographic information systems|
|Contributions||Goodchild, Michael F|
|LC Classifications||G70.212 .Z53 2002|
|The Physical Object|
|Pagination||x, 266 p. :|
|Number of Pages||266|
|LC Control Number||2001053961|
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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 by: Book Description As Geographic Information Systems (GIS) have developed and their applications have been extended, the issue of uncertainty has become increasingly recognized.
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 datCited by: Uncertainty in Geographical Information (Paperback) Jingxiong Zhang (author), Michael F.
Goodchild (author)Pages: Geographical Information and Uncertainty Geographical (or geographic) information can be defined as information about features and phenomena located on or Author: Jingxiong Zhang, Michael F.
Goodchild. This book covers the issue of "uncertainty" in GIS, as they have developed and their applications have been extended.
It discusses theoretical and practical applications of spatial data processing and uncertainties. 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. Geographic Information Science Cognitive Science Geography Computer Science Figure 1.
The Human-Computing Machine-Earth system and geographic information science ISSDQ’03 Proceedings 1 Uncertainty of Geographic Information and Its Support in MADS From this perspective, it seems easy for us to work out the nature of uncertainty.
cating information to decision-makers. Maps, charts, illustrations and infographics are used to represent large quantities of data, to emphasize or reveal re-lationships in that data, and to help decision-mak-ers digest this information quickly. Increasingly, vi-Visualizing Uncertainty in Human Geography Data IQT Mission Challenge.
uncertainty calculations, and it provides detailed procedures for performing uncertainty calculations in general. This handbook, however, provides a more practical approach to the field of uncertainty calculations, where the principles of the.
As Geographic Information Systems (GIS) have developed and their applications have been extended, the issue of uncertainty has become increasingly recognized. Information is precious.
It reduces our uncertainty in making decisions. Knowledge about the outcome of an uncertain event gives the possessor an advantage. It changes the course of lives, nations, and history itself.
Information is the food of Maxwell's demon. His power comes from know ing which. Spatial technologies such as GIS and remote sensing are widely used for environmental and natural resource studies. Spatial Accuracy Assessment provides state-of-the-science methods, techniques and real-world solutions designed to validate spatial data, to meet quality assurance objectives, and to ensure cost-effective project implementation and completion.
Offers New Insight on Uncertainty Modelling Focused on major research relative to spatial information, Uncertainty Modelling and Quality Control for Spatial Data introduces methods for managing uncertainties—such as data of questionable quality—in geographic information science (GIS) applications.
analysis of the propagation of error, and thus of the errors in results of GIS analysis. In this series of four papers we show the implications of such an approach (see Leung, Ma, and Goodchild, for an earlier preview of this work).
We are very grateful to the 1 Department of Geography and National Center for Geographic Information and. Geospatial predictive models often require mapping of predefined concepts or categories with various conditioning factors in a given space.
This chapter discusses various aspects of uncertainty in predictive modeling by characterizing different typologies of classification uncertainty. In GIS data, accuracy can be referred to a geographic position, but it can be referred also to attribute, or conceptual accuracy.
Precision refers how exact is the description of data. Precise data may be inaccurate, because it may be exactly described but inaccurately gathered.
To the best of our knowledge, this book presents the first overview of spatial uncertainty which goes beyond the setting of geographical information systems. Uncertainty issues are especially.
Unmatched in scope by any other reference on the subject, Geographical Information Systems, Second Edition provides crucial background on basic GIS concepts and addresses the radical shifts and changes that have taken place in GIS technology and its uses.
An uncertainty analysis was undertaken to quantify the uncertainty associated with the additional losses incurred by rerouting water to achieve environmental benefits along the Campaspe River (Lowe et al., b).The analysis considered uncertainty due to measurement of streamflow, and the metering or estimation of water extractions.
The total expected monthly losses are shown using a boxplot. Deal with information and uncertainty properly and efficiently using tools emerging from generalized information theory Uncertainty and Information: Foundations of Generalized Information Theory contains comprehensive and up-to-date coverage of results that have emerged from a research program begun by the author in the early s under the name "generalized information/5(10).
Following a general overview of user types and needs for uncertainty information, Sections and summarize, respectively, how two streams of research have addressed the question of how decision makers interpret and use uncertain information—one from a descriptive perspective (how decisions under uncertainty are made), the other from a.
A more precise specification would bemeters East and 5, meters North, which locates the position within an area 1 millimeter square. You can think of the area as a zone of uncertainty within which, somewhere, the theoretically infinitesimal point location exists.
Uncertainty is inherent in geospatial data. The book goes in-depth into explaining national and international measurement systems and standards, and includes a complete chapter on calibration and measurement trace ability. Measurement Uncertainty will show how to evaluate various uncertainties in measurements using several approaches including international consensus.
uncertainty in spatial information, it is already possible to identify other types of uncertainty that should be addressed in future research. 2 THE PROBLEM OF DEFINITION The principal issue of geographical uncertainty is the understanding of the collector and user of the data as to the nature of that uncertainty.
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J.X. Zhang and M.F. Goodchild () Uncertainty in Geographical Information. New York: Taylor and Francis.  The AGI Source Book for Geographic Information Systems. London: Association for Geographic Information, pp. –  M.F. Goodchild () Geographic information systems.
Microsoft Encarta ' Redmond, WA: Microsoft (CD. The authors explain the ways in which uncertainty is an important factor in the problems of risk and policy analysis. This book outlines the source and nature of uncertainty, discusses techniques for obtaining and using expert judgment, and reviews a variety of simple and advanced methods for analyzing uncertainty.
Powerful computer environments and good graphical techniques for displaying /5(4). Uncertainty is a complex concept that can be described in multiple ways, and its consideration in decision support has evolved over time. Some relevant descriptions of uncertainty include: A state of incomplete knowledge that can result from a lack of information or from disagreement about what is known or even knowable.
Measurement Uncertainty. easy to evaluate (see Sections and ). However, the counting uncertainty is only one component of the total measurement uncertainty. Over the years it has been recommended repeatedly that laboratories perform good evaluations of the total uncertainty of.
The uncertainty of forecasts may also differ by stage in the demographic transition. In transitional or pretransitional populations, there is uncertainty about when the fertility transition will begin, how quickly it will proceed, and at what level it will pause or stop. Uncertainty refers to epistemic situations involving imperfect or unknown applies to predictions of future events, to physical measurements that are already made, or to the unknown.
Uncertainty arises in partially observable and/or stochastic environments, as well as due to ignorance, indolence, or both.
It arises in any number of fields, including insurance, philosophy, physics. In: Third international geographic information systems symposium (GIS/LIS 88), San Antonio, Texas, USA, 30 November – 2 December Google Scholar Caglioni, M, Fusco, G () Formal Ontologies and Uncertainty in Geographical Knowledge.
In his book The Art of Uncertainty, Dennis Merritt Jones writes: "Between a shaky world economy, increasing unemployment, and related issues, many today are being forced to. U1: Uncertainty in the conception of geographic phenomena A characteristic that sets geographic information science apart from most every other science is that it is only rarely founded upon natural units of analysis.
Conceptions of attributes: Vagueness and ambiguity. Vagueness. The current state of GIS technology in dealing with uncertainty falls short of the goals described by Goodchild (, p.
98): (1) each object in a GIS database would carry information describing its accuracy; (2) every operation or process within a GIS would track and report error; and (3) accuracy measures would be a standard feature of every. Fundamentally, her book is a clear discourse and analysis of three things: the nature of uncertainly related to reality and experience, the tendency of human understanding to withdraw from uncertainty into frozen certainty, and psychoanalysis as a method, discipline and theory that creates an openness, a tolerance for the discomfort of states.
The bottom line of this book is that you should face uncertainty regardless of fear and doubt in order to be successful. It failed to add new insights and value for my time spent. Read more. 3 people found this helpful. Helpful. Comment Report abuse.
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Vegetation mapping requires extensive field data for training and validation. Volunteered geographic information in the form of geotagged photos of identified plants has the potential to serve as a supplemental data source for vegetation mapping projects.
In this study, we compare the locations of specific taxa from the iNaturalist platform to locations identified on both a fine-scale. 1 day ago Rio Tinto's Fact Book is a compilation of material that the Group uses in presentations to investors and others.
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