1887

n Journal of Emerging Trends in Engineering and Applied Sciences - Development of quality assessment tool for geospatial data acquisition in surveying and geoinformatics

Volume 3, Issue 1
  • ISSN : 2141-7016
This is currently unavailable for purchase.

 

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 codenamed '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.

Loading full text...

Full text loading...

Loading

Article metrics loading...

/content/sl_jeteas/3/1/EJC139270
2012-01-01
2019-09-21

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error