Journal Information
|
| Research Areas |
| Publication Ethics and Malpractice Statement |
| Guidelines for Authors |
| For Authors |
| Instructions to Authors |
| Copyright forms |
| Submit Manuscript |
| Call for papers |
| Guidelines for Reviewers |
| For Reviewers |
| Review Forms |
| Contacts and Support |
| Support and Contact |
| List of Issues |
| Indexing |
Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS)
ISSN:2141-7016
| Abstract: Quality of geospatial data has become a major source of concern for users of Geographic Information Systems (GIS). This is not unconnected with the proliferation of geospatial data that abound in the industry as a result of development in Information and Communication Technology (ICT). GIS can be defined as a tool for integrating both spatial and non-spatial data from various sources for analysis and management. This tool, which has become a house-hold name in all facets of human endeavour, has little to offer in terms of determining quality of data acquired without the provisions of other external measures. In this study, a computer tool (software) was developed to determine the quality of geospatial data using horizontal coordinates of points from satellite image and large scale cadastral maps of a study area. The developed spatial data quality assessment tool is code-named 'GeoQAss'. The procedure adopted involved the use of statistical models to determine the Root Mean Square Error (RMSE) between the satellite image coordinates against coordinates of the same points obtained from large scale cadastral maps. Test of hypothesis was carried out using Chi-Square statistic at 95% confidence level to ascertain conformity of the variance of the satellite data with the variance obtained for large scale maps. The analysis of the results proved the efficacy of the developed tool in assessing the quality of geospatial data to determine whether or not they (geospatial data) are useful for further applications in GIS environment |
| Keywords: positional accuracy, geospatial gata, quality assessment, GIS and GeoQAss |
| Download full paper |


Copyright © 2020 Journal of Emerging Trends in Engineering and Applied Sciences 2010