COMPONENTS OF DATA QUALITY
There are two important components of data quality. They are:
-Terminology used for describing problems and
-Sources, propogation and management of errors.
GIS analysis and results rely heavily on access to reliable, good quality data.
Quality is defined as "degree of excellence". In case of GIS, data quality indicates how good the data are. This in-turn indicates the suitability of data for a specific purpose. Data sets used for analysis should be COMPLETE, COMPATIBLE, CONSISTENT and APPLICABLE for the analysis being performed.
A COMPLETE dataset covers the entire study area and the time period of interest or the data are complete spatially and temporally along with a complete set of attribute information.
COMPATIBLE datasets are developed using SIMILAR METHODS of data capture, storage, manipulation and editing.
CONSISTENT data should come from SINGLE SOURCE DOCUMENT and be digitized by a SINGLE PERSON.
APPLICABILITY refers to SUITABILITY of data for a set of COMMANDS, OPERATIONS or ANALYSIS.
There are two important components of data quality. They are:
-Terminology used for describing problems and
-Sources, propogation and management of errors.
GIS analysis and results rely heavily on access to reliable, good quality data.
Quality is defined as "degree of excellence". In case of GIS, data quality indicates how good the data are. This in-turn indicates the suitability of data for a specific purpose. Data sets used for analysis should be COMPLETE, COMPATIBLE, CONSISTENT and APPLICABLE for the analysis being performed.
A COMPLETE dataset covers the entire study area and the time period of interest or the data are complete spatially and temporally along with a complete set of attribute information.
COMPATIBLE datasets are developed using SIMILAR METHODS of data capture, storage, manipulation and editing.
CONSISTENT data should come from SINGLE SOURCE DOCUMENT and be digitized by a SINGLE PERSON.
APPLICABILITY refers to SUITABILITY of data for a set of COMMANDS, OPERATIONS or ANALYSIS.
No comments:
Post a Comment