In data analysis involving geographical locations, geo-imputation or geographical imputation methods are steps taken to replace missing values for exact locations with approximate locations derived from associated data. They assign a reasonable location or geographic based attribute (e.g., census tract) to a person by using both the demographic characteristics of the person and the population characteristics from a larger geographic aggregate area in which the person was geocoded (e.g., postal delivery area or county). For example, if a person's census tract was known and no other address information was available then geo-imputation methods could be used to probabilistically assign that person to a smaller geographic area, such as a census block group.[1]

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  1. ^ Henry, Kevin A.; Boscoe, Francis P. (2008). "Estimating the accuracy of geographical imputation". International Journal of Health Geographics. 7 (3): 3. doi:10.1186/1476-072X-7-3. PMC 2266732. PMID 18215308.
  • Jones, S. G.; Ashby, A. J.; Momin, S. R.; Naidoo, A. (2010) "Spatial Implications Associated with Using Euclidean Distance Measurements and Geographic Centroid Imputation in Health Care Research", Health Services Research, 45 (1), 316–327 doi:10.1111/j.1475-6773.2009.01044.x