Synonyms
Spatial data mining; Geographic data mining; Exploratory spatial analysis; Pattern recognition in spatial data; Hypothesis validation in spatial data
Definition
Geographic knowledge discovery (GKD) is the human-centered process of using computational methods and visualization to explore massive geo-referenced digital databases for novel and useful geographic knowledge. GKD is an extension of the more commonly known process of knowledge discovery from databases (KDD), with “data mining” being a central activity of this process.
Main Text
Geographic information science exists in an increasingly data-rich environment facilitated by the development of high spatial and temporal resolution environmental monitoring devices, location-aware technologies, information infrastructure for data sharing and interoperability, as well as reductions in data storage costs. Traditional spatial analytical methods were developed when data collection was expensive and computational power was weak....
Recommended Reading
Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P.: From data mining to knowledge discovery: An overview. In: Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P., Ulthurusamy, R. (eds.) Advances in Knowledge Discovery and Data Mining, pp. 1–34. MIT Press, Cambridge, MA (1996)
Gahegan, M.: On the application of inductive machine learning tools to geographical analysis. Geogr. Anal. 32, 113–139 (2000)
Miller, H.J., Han, J.: Geographic data mining and knowledge discovery: An overview. In: Miller, H.J., Han, J. (eds.) Geographic Data Mining and Knowledge Discovery, pp. 3–32. Taylor and Francis, London (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag
About this entry
Cite this entry
Miller, H. (2008). Geographic Knowledge Discovery. In: Shekhar, S., Xiong, H. (eds) Encyclopedia of GIS. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35973-1_468
Download citation
DOI: https://doi.org/10.1007/978-0-387-35973-1_468
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-30858-6
Online ISBN: 978-0-387-35973-1
eBook Packages: Computer ScienceReference Module Computer Science and Engineering