Definitions
Spatial data integration is a process in which different geospatial datasets, which may or may not have different spatial coverages, are made compatible with one another (Flowerdew 1991). The goal of spatial data integration is to facilitate the analysis, reasoning, querying, or visualization of the integrated spatial data. Figure 1 illustrates the integration of three layers or themes: major streets, hospitals, and police districts of the City of Chicago (Chi 2017).
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Balasubramani, B.S., Cruz, I.F. (2019). Spatial Data Integration. In: Sakr, S., Zomaya, A.Y. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-77525-8_218
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