In integrating geo-spatial
datasets, sometimes layers are unable to perfectly overlay each other. In most
cases, the cause of misalignment is the cartographic variation of objects
forming features in the datasets. Either this could be due to actual changes on
ground, collection, or storage approaches used leading to overlapping or
openings between features. In this paper, we present an alignment method that
uses adjustment algorithms to update the geometry of features within a dataset
or complementary adjacent datasets so that they can align to achieve perfect
integration. The method identifies every unique spatial instance in datasets
and their spatial points that define all their geometry; the differences are
compared and used to compute the alignment parameters. This provides a uniform
geo-spatial features’ alignment taking into consideration changes in the
different datasets being integrated without affecting the topology and
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