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GIS users and professionals are aware that the accuracy of GIS results cannot be naively based on the quality of the graphical output.
Data stored in a GIS will have been collected or measured, classified, generalised, interpreted or estimated, and in all cases this allows the introduction of errors.
With the processing of translation of this data
Spatial Data Quality
Uncertainty Modelling and Quality Control for Spatial Data
GIS, Environmental Modeling and Engineering
Geographical Data Imperfection 2
Quality Aspects in Spatial Data Mining
Remote Sensing and GIS Accuracy Assessment
Uncertainty and Context in GIScience and Geography
Surface Modeling
Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses
GIS Based Chemical Fate Modeling
GIS Environmental Modelling and Engineering
Spatial Modeling in GIS and R for Earth and Environmental Sciences
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