Journal ArticleDOI
Error Modelling for Integrated GIS
Manfred Ehlers,Shi Wenzhong +1 more
TLDR
An analytical model is developed to address common errors that can be associated with the generation of GIS layers, such as manual digitizing (positional) errors and automated classification (thematic) errors.Abstract:
A persistent problem for GIS researchers is the quantitative assessment of the overall error, or uncertainty, of a GIS analysis that requires the combination of heterogeneous data sets. Rather than strive for a global solution, this chapter outlines a stepwise approach to a combined error analysis for the integration of diverse data sets in GIS. The presented method was developed for the integration of information derived from remotely sensed data into a GIS database. Even for such a simple analysis, which is routinely performed in environmental GIS applications, an analytical error-handling strategy is still missing, and researchers have made intensive use of simulation techniques. The purpose of this study is to develop an analytical model to address common errors that can be associated with the generation of GIS layers, such as manual digitizing (positional) errors and automated classification (thematic) errors. As a first step, the error model is restricted to the case of point digitizing and maximum ...read more
Citations
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Journal ArticleDOI
A framework for the modelling of uncertainty between remote sensing and geographic information systems
Mark Gahegan,Manfred Ehlers +1 more
TL;DR: In this article, the authors address the modelling of uncertainty in an integrated geographic information system (GIS), specifically focused on the fusion of activities between GIS and remote sensing, and derive a framework for the propagation of uncertainty through an integrated GIS.
Re-presenting GIS
Peter Fisher,David Unwin +1 more
TL;DR: The QSS Framework for Modelling Qualitative Change: Prospects and Problems (Antony Galton) as mentioned in this paper is a QSS-based framework for modelling qualitative change in GIS.
Re-presenting Geographical Information Systems
Peter Fisher,David Unwin +1 more
TL;DR: The increasingly widespread use of Geographical Information Systems (GIS) has meant that a version of "geography" has been exported to manyother disciplines and walks of life where this technology has been found to be useful.
Journal ArticleDOI
Probing the Relationship Between Classification Error and Class Similarity
Ola Ahlqvist,Mark Gahegan +1 more
TL;DR: It is argued that classification schemes that are based on parameterized definitions could be assessed for problematic categories during their construction using this approach, and thus, enabling the identification of a thematic vagueness component to supplement the more traditional statistical measures derived from the error matrix.
References
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Proceedings ArticleDOI
"S-BAND", a model to describe uncertainty of an object in an integrated GIS/remote sensing environment
Wenzhong Shi,Manfred Ehlers +1 more
TL;DR: The authors present a strategy for such a combined error model, the "S-BAND" uncertainty model, based on a combined uncertainty indicator with both positional and thematic aspects.