Quality Aspects In Spatial Data Mining

<P><STRONG><U>Describes the State-of-the-Art in Spatial Data Mining, Focuses on Data Quality</U></STRONG></P><br/><br/><P>Substantial progress has been made toward developing effective techniques for spatial information processing in recent years. This science deals with models of reality in a GIS, however, and not with reality itself. Therefore, spatial information processes are often imprecise, allowing for much interpretation of abstract figures and data. <STRONG>Quality Aspects in Spatial Data Mining</STRONG> introduces practical and theoretical solutions for making sense of the often chaotic and overwhelming amount of concrete data available to researchers. </P><br/><br/><P></P><br/><br/><P>In this cohesive collection of peer-reviewed chapters, field authorities present the latest field advancements and cover such essential areas as data acquisition, geoinformation theory, spatial statistics, and dissemination. Each chapter debuts with an editorial preview of each topic from a con

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