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has been cited by the following article:

• TITLE: Overcoming Object Misalignment in Geo-Spatial Datasets

  AUTHORS: Ismail Wadembere, Patrick Ogao

  KEYWORDS: Object-Based, Geometry Alignment, Geo-Spatial Management

  JOURNAL NAME: Journal of Geographic Information System, Vol.6 No.4, August 6, 2014

  ABSTRACT: 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 attributes.