What is data quality? Explain different components of data quality in GIS. 

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Data quality refers to the accuracy, completeness, consistency, timeliness, and relevance of data. Data quality is essential to ensure that data is fit for use and can be relied upon for decision-making purposes. In the context of Geographic Information Systems (GIS), data quality is critical because GIS applications rely on accurate and up-to-date geographic data to provide accurate and reliable results.

GIS data quality is affected by various factors, including the source of data, the method of data collection, data management, and data analysis. There are different components of data quality that must be considered to ensure that GIS data is reliable and accurate.

1. Accuracy Accuracy refers to the correctness of the data. It is the degree to which the data represents the real-world features that it is supposed to represent. Accuracy can be affected by errors in data collection, processing, and analysis. In GIS, accuracy is critical because inaccurate data can lead to wrong decisions and inaccurate results. Accuracy can be improved by using high-quality data sources, ____ ___________ ____ ____________ ___________ _____________ ___ __________ ____________.
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Degree : PG DIPLOMA PROGRAMMES
Course Name : Post Graduate Diploma in Geoinformatics
Course Code : PGDGI
Subject Name : Global Navigation Satellite System and Geographic Information System
Subject Code : MGY 103
Year : 2023