Validation of GIS Vector Data during Geo-Spatial Alignment

Abstract

During GIS modelling, the geometry of objects forming features in geo-spatial datasets are always manipulated in order to get different views and perceptions that help to understand trends that have or taking place on earth’s surface to inform the future. In this paper we investigated how the geometry of objects, analysis and modelling capabilities is affected by different geometry adjustment and alignment algorithms and methods when geometry type (point, line, and polygon) and number of objects in dataset are varied. It was found out that features change shape and geometry types during modelling but maintain their relationship and meaning when standard algorithms are used as confirmed using the developed geo-spatial validation framework. The time taken to accomplish adjustment and alignment increases as the number of spatial points increases in point and polyline features but more time is taken for polygons even with fewer points.