Spatial Error and Interpolation Uncertainty Appraisal Within Geographic Information Systems

From a GIS software point of view, spatial error and quality control of spatial data has been almost forgotten with the exception of geostatistics. This review study pretends to re-evaluate major sources of errors in spatial data. This includes qualitative and quantitative accuracy, data quality principles and interpolation uncertainty perceptions. As an illustration purpose, an empirical analysis of 98 samples of Pb lead contaminant is also presented along this study.