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Abstract

Summary

Integration of geospatial datasets is complex and time-consuming process. Integration is especially difficult if the geospatial datasets do not share common feature identification attributes. In this study, we explored the software implementation of the method of spatial identification polygonal features of geospatial datasets by detecting matching pairs of features from two different datasets using measures of their spatial overlap and the similarity of their morphometric characteristics (perimeter, area, width-to-length ratio, blockiness, number of vertices). The polygonal feature identification program is implemented in PL/pgSQL for a spatial database in PostgreSQL/PostGIS. The results of the experiment on the example of the 13832 polygonal building models for the town of Bila Tserkva using an OSM dataset and a digital topographic plan of 1:2000 scale showed the ability to perform spatial identification of about 85% of buildings with little or no user intervention.

EAGE Publications BV © 2020 The Authors © European Association of Geoscientists and Engineers
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/content/papers/10.3997/2214-4609.20205744
2020-12-07
2025-11-08

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/content/papers/10.3997/2214-4609.20205744
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Study of the method of spatial identification of polygonal features in the integration of geospatial datasets
Conference Proceedings 2020, 1 (2020); https://doi.org/10.3997/2214-4609.20205744
/content/papers/10.3997/2214-4609.20205744
/content/papers/10.3997/2214-4609.20205744
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