Abstract
Discovering spatiotemporal patterns on data quality assessment in collaborative mapping: A preliminary study in an area of Brazil
Highlights
Quality is an important aspect to be considered in geospatial data, as it allows determining its suitability for use for specific purposes
This research aims to go beyond the usual intrinsic parameters, such as the number of contributions and contributors, but to understand how the evolution of these parameters over time can be characterized as an additional quality measure
As there is a finite number of features in a region, we proposed to study the evolution of the contributions in a homogeneous cell, looking for patterns that vary according to the location of this cell, explicitly working with data in large urban centres in Brazil
Summary
Quality is an important aspect to be considered in geospatial data, as it allows determining its suitability for use for specific purposes. This research aims to go beyond the usual intrinsic parameters, such as the number of contributions and contributors, but to understand how the evolution of these parameters over time can be characterized as an additional quality measure.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
