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Spatial querying of mineral resources using PostGIS
2019 2nd International Conference on Advancements in Computational Sciences (ICACS), 2019Mineral resources are precious resources with limited reserves. For a reasonable development of national economy, intelligent usage and management of these resources is very important.
Natalia Chaudhry, M. Yousaf
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ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2017
C. Strobl
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C. Strobl
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Utilizing PostGIS Extension to Process Spatial Data Stored in Neo4j Database
International Conference on Data and Software Engineering, 2023The development of information technology over time has increased the utilization of spatial data for storing data such as online maps. On the other hand, the need for large amounts of data has led to the emergence of the need for NoSQL Database ...
Jon Felix Germinian +1 more
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Extending PostGIS by imprecise point objects
IEEE 8th International Symposium on Intelligent Systems and Informatics, 2010In this paper we propose extension of PostGIS Spatial Database Management system by imprecise point object type. Position imprecision is modelled as fuzzy point in R2 linear fuzzy space. The linear fuzzy space is defined over R2 where the membership function is convex, upper semi continuous, symmetric w.r.t core, linearly decreasing w.r.t core distance,
D. Obradovic, Z. Konjovic, E. Pap
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Management methods of spatial data based on PostGIS
2010 Second Pacific-Asia Conference on Circuits, Communications and System, 2010GIS is primarily associated with spatial data. In the most GIS, the spatial data as a file, together with the attribute data, is stored in relational database. So it is difficult to keep data security data management and data consistency. PostgreSQL and PostGIS can store spatial data and attribute data in one database; this makes it easy to manage and ...
null Lijing Zhang, null Jing Yi
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Vector–raster server-side analysis: a PostGIS benchmark
Applied Geomatics, 2013Report generation from coverages around points of interest (POIs) or in areas of interest (AOIs) is a common need in thematic research projects. The extracted information adds value to the POIs or AOIs dataset by enriching its information content. In a common scenario, POIs or AOIs are usually vector data whereas background thematic datasets are often ...
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