GeoWebCln : An Intensive Cleaning Architecture for Geospatial Metadata
e | 09 mar 2022
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 09 mar 2022
Pagine: 51 - 62
Ricevuto: 22 set 2021
DOI: https://doi.org/10.2478/quageo-2022-0004
Parole chiave
© 2022 Savita Kumari Sheoran et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Comparative analysis of GeoWebCln tool.
| Cleaning using QGIS functions | Cleaning using |
|---|---|
| The user must have prior knowledge of GIS cleaning functions and its steps. QGIS is a vast software having various functions. New users are not aware of these functions and need a tutorial before performing the cleaning process. | Users can perform cleaning using a single function with a single click in QGIS. There is no need to analyse the dirty data. A user just needs to import the cleaning function in the Python console of QGIS and click on the run tab. The vector layer will be cleaned. |
| It is suitable for trained GIS users. The cleaning needs expertise in QGIS and cannot be handled by novice users. | It is suitable for all types of users. |
| It is a time-consuming process as it requires operation and analysis of various GIS functions such as JOIN, DELETE and SQL Query in Advance Filter Expression. | It is a very fast cleaning process. There is no need for any GIS function and query execution. |
| It is not an interactive approach as no input is asked from the user. The user is not aware of the work performed by the GIS functions. | It is interactive and user-friendly as input is asked from a user before the removal of duplicate values. |
| It is less reliable as cleaning performance depends on the skills of the user. If the user chooses wrong functions, then cleaning is not done properly. | It is reliable as cleaning is performed by the |
| Incapable to provide cleaning information of attributes. The summary of cleaned data is not available. | Provide cleaning information of the attributes as shown in |
| The cleaned layer cannot be automatically saved. | The cleaned layer is saved as a new layer automatically after cleaning. |
| Metadata information of spatial data cannot be stored for future use. | Metadata information of cleaned data is exported as CSV files and can be used for comparison and analysis. |
| Data quality parameters such as completeness, consistency and accuracy cannot be perceived by the users after cleaning as no cleaning information is provided. | Users can easily judge the quality parameters after analysing summary information. |
| Output as cleaned vector layer is not distinguishable from the dirty layer. | Output as the cleaned vector layer is apparent to the dirty layer as shown in |
Algorithm: GeoWebCln Algorithm
INPUT: Spatial data from different sources having dirty attribute data. OUTPUT: Clean data with summary of cleaning information. Select geospatial data (vector data) layers in QGIS software. Add geospatial data (vector data) layers in QGIS software. Import the For each vector data layer
Select geospatial data (vector data) layers in the Execute the (Auto cleaning is done by the Empty values of the required (area) field are calculated. Null values, duplicate values, 0 values are removed from the attribute table. Extraneous fields are searched and deleted. Cleaning process completed and cleaned layer saved as a new layer. Metadata and summary of cleaned data is generated and displayed. Metadata and a summary can be exported as CSV files for future reference. |