QGIS Data Refinement Plugin Null Value Management & Custom Value Editing Using Python
| dc.contributor.advisor | Bodroginé Zichar, Marianna | |
| dc.contributor.author | Khalil, Muhammad Junaid | |
| dc.contributor.department | DE--Informatikai Kar | |
| dc.date.accessioned | 2026-07-15T20:04:37Z | |
| dc.date.available | 2026-07-15T20:04:37Z | |
| dc.date.created | 2024 | |
| dc.description.abstract | The thesis, Improving Geospatial Data Integrity with the ShpCleaner Plugin for QGIS (QGIS Data Refinement Plugin for Null Value Management & Custom Value Editing), examines the vital field of geospatial data management within the context of Quantum Geographic Information System (QGIS). Geospatial data integrity is critical for accurate analysis and informed decision-making in many domains, such as resource allocation, environmental management, and urban planning. However, maintaining data integrity is not always easy, particularly when it comes to identifying and correcting mistakes, null values, and inconsistent datasets. One helpful tool to solve these issues is the ShpCleaner Plugin for QGIS. It provides a number of tools designed to improve vector data cleaning and refining, hence boosting data usefulness and integrity. The plugin enables users to rapidly and efficiently do activities involving numeric value ranges, field value substitution, and null cell deletion using an intuitive interface. Understanding the significance of geospatial data integrity and the challenges associated with data management in GIS contexts facilitates comprehension of the thesis. The architecture, programming languages used, and methodical approach to creating new features for the ShpCleaner Plugin are then covered in great detail. The usefulness, effectiveness, and impact of the plugin on QGIS data refining processes are also thoroughly examined in the thesis. Significant findings demonstrate how well the ShpCleaner Plugin improves data reliability and integrity by streamlining the processes involved in data cleaning and refining. The plugin's integration of geographic data quality assessment tools provides users with important information about the accuracy, consistency, and breadth of the data. Additionally, the plugin's interface enhances usability and promotes a seamless user experience by utilizing user-centric design principles. In conclusion, the ShpCleaner Plugin represents a significant advancement in the management of geographic data inside the QGIS environment. With its powerful data cleansing features and intuitive interface, the plugin improves data integrity, dependability, and utility in GIS applications. | |
| dc.description.course | Programtervező informatikus | |
| dc.description.degree | BSc/BA | |
| dc.format.extent | 71 | |
| dc.identifier.uri | https://hdl.handle.net/2437/413441 | |
| dc.language.iso | en | |
| dc.rights.access | Hozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében. | |
| dc.subject | Null Value Management Using Python | |
| dc.subject | Data Refinement Plugin in QGIS | |
| dc.subject | Data filtraton Using Python in QGIS | |
| dc.subject | Data cleansing | |
| dc.subject | Null value cleaning | |
| dc.subject | Field value replacement | |
| dc.subject | Numeric value range | |
| dc.subject | GIS applications | |
| dc.subject | Data management | |
| dc.subject | Geographic data quality | |
| dc.subject | Spatial analysis | |
| dc.subject.dspace | Informatics::Geoinformatics | |
| dc.title | QGIS Data Refinement Plugin Null Value Management & Custom Value Editing Using Python |
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