GeoWebCln: An intensive cleaning architecture for geospatial metadata

• Authors: Savita Kumari Sheoran , Vinti Parmar

Abstracts

EN

Developments in big data technology, wireless networks, Geographic information system (GIS) technology, and internet growth has increased the volume of data at an exponential rate. Internet users are generating data with every single click. Geospatial metadata is widely used for urban planning, map making, spatial data analysis, and so on. Scientific databases use metadata for computations and query processing. Cleaning of data is required for improving the quality of geospatial metadata for scientific computations and spatial data analysis. In this paper, we have designed a data cleaning tool named as GeoWebCln to remove useless data from geospatial metadata in a user-friendly environment using the Python console of QGIS Software.

Keywords

EN

spatial data; spatial metadata; data cleaning; spatial database; GIS

• Publisher: Uniwersytet im. Adama Mickiewicza w Poznaniu
• Journal: Quaestiones Geographicae
• Year: 2022
• Volume: 41
• Issue: 1
• Pages: 51-62

Dates

published

2022

Contributors

author

Savita Kumari Sheoran

• Department of Computer Science and Engineering, Indira Gandhi University Meerpur, Rewari, India

• https://orcid.org/0000000203594700

author

Vinti Parmar

• Department of Computer Science and Engineering, Indira Gandhi University Meerpur, Rewari, India

• https://orcid.org/0000000304289801

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Identifiers

DOI

10.2478/quageo-2022-0004

Biblioteka Nauki

2054577