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 decision-making. Uncertainty in Geographical Information 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.
Error that is inherent to geospatial raster data can propagate through geospatial models that are used in geographic information systems (GIS) for many natural science and social science applications.
This book provides general overviews on uncertainty in remote sensing and GIS that illustrate the range of uncertainties that may occur, in addition to describing the means of measuring uncertainty and the impacts of uncertainty on analyses ...
The chapters in this book were originally published as a special issue of the International Journal of Geographical Information Science.
Offers New Insight on Uncertainty ModellingFocused 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 ...
Building on this foundation, the book goes on to explore modeling uncertainties in spatial analyses and describe methods for presentation of data as quality information.
Biographical Box 10.3 Mike Worboys , mathematician and computer scientist Mike Worboys is a graduate in mathematics and holds a masters degree in mathematical logic and the foundations of mathematics . His Ph.D. in pure mathematics ...
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.
Surfaces are a central to geographical analysis. Their generation and manipulation are a key component of geographical information systems (GISs). However, geographical surface data is often not precise.
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.
International Journal of Geographical Information Science, 12: 607–620. Lowell, K., Richards, G., Woodgate, P., Jones, S., and Buxton, L., 2005, Fuzzy Reliability Assessment of Multi-Period Land-cover Change Maps.