Journal Article10.1080/136588198241699
A locational error model for spatial features
Yee Leung,Jianping Yan +1 more
- 01 Sep 1998
- Vol. 12, Iss: 6, pp 607-620
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TL;DR: Using error in points as the fundamental building block, a stochastic model is constructed to analyse point, line, and polygon errors within a unified framework, a departure from current practices which treat errors in point and line separately.
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Abstract: A locational error model for spatial features in vector-based geographical information systems (GIS) is proposed in this paper. Using error in points as the fundamental building block, a stochastic model is constructed to analyse point, line, and polygon errors within a unified framework, a departure from current practices which treat errors in point and line separately. The proposed model gives, as a special case, the epsilon band model a true probabilistic meaning. Moreover, the model can also be employed to derive accuracy standards and cartographic estimates in GIS.
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Citations
The point-radius method for georeferencing locality descriptions and calculating associated uncertainty
TL;DR: This work describes a method for georeferencing locality descriptions that accounts for the idiosyncrasies, sources of uncertainty, and practical maintenance requirements encountered when working with natural history collections, and allows for the use of uncertainty in analyses that use these data.
Accuracy assessment of georectified aerial photographs: Implications for measuring lateral channel movement in a GIS
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Spatial data quality: from description to application
P.A.J. van Oort
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TL;DR: The aim of this thesis was to enhance the description of spatial data quality and to improve the understanding of the implications of temporal correlation in classification errors.
The use of historical bathymetric charts in a GIS to assess morphological change in estuaries
Daphne van der Wal,Kenneth Pye +1 more
TL;DR: In this paper, historical bathymetric charts from the Ribble estuary (north-west England) illustrate the difficulties involved in assessing morphological change in a quantitative manner.
91
Assessing, representing and transmitting positional uncertainty in maps
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78
References
The accuracy of spatial databases
TL;DR: A proposed general framework learning to live with errors in spatial databases and the traditional and modern look at Tissot's indicatrix are proposed.
733
Propagation of errors in spatial modelling with GIS.
TL;DR: This paper demonstrates how the standard stochastic theory of error propagation can be extended and applied to continuously differentiable arithmetic operations (quantitative models) for manipulating gridded map data.
Positional accuracy and measurement error in digital databases of land use: an empirical study
TL;DR: The epsilon band model of digitizing accuracy is used to make estimates of the levels of positional uncertainty and measurement error that is due to digitizing polygon outlines, and results prompt a general discussion of the nature of error in spatial databases.
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•Journal Article
Modeling uncertainty in photointerpreted boundaries
G. Edwards,K. E. Lowell +1 more
TL;DR: In this article, a model based on multiple photointerpretations for estimating local boundary uncertainty (or fuzzy boundary width) between forest stands is developed and presented, using an artificial data set consisting of textured images of known class characteristics and locations.
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