Zhang, Jingxiong; Goodchild, Michael F.
Jingxiong Zhang, Michael F. Goodchild
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 deillegalscription and modeling. High level GIS professionals, researchers and graduate students will find this a constructive book.
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 deillegalscription and modeling. High level GIS professionals, researchers and graduate students will find this a constructive book.
Preface. Geographical Information and Uncertainty. Geographical Perspectives. Geographical Measurement and Data. Exploring Geographical Uncertainty. Uncertainty in Continuous Variables. Uncertainty in Categorical Variables. Uncertainty in Objects. Uncertainty-Informed Geographics. References. Index.
As Geographic Information Systems (GIS) develop, there is a need to demystify the 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 aware of the impacts of uncertainties in spatial analysis and
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.
Inhaltsverzeichnis
Preface. Geographical Information and Uncertainty. Geographical Perspectives. Geographical Measurement and Data. Exploring Geographical Uncertainty. Uncertainty in Continuous Variables. Uncertainty in Categorical Variables. Uncertainty in Objects. Uncertainty-Informed Geographics. References. Index.
Klappentext
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 deillegalscription and modeling. High level GIS professionals, researchers and graduate students will find this a constructive book.rn
