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Article

End Point Rate Tool for QGIS (EPR4Q): Validation Using DSAS and AMBUR

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CESAM—Centre for Environmental and Marine Studies, Department of Geoscience, University of Aveiro, Campus de Santiago, 3810-193 Aveiro, Portugal
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CESAM—Centre for Environmental and Marine Studies, Department of Physics, University of Aveiro, Campus de Santiago, 3810-193 Aveiro, Portugal
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IFSC—Federal Institute of Santa Catarina, Campus Caçador, Department of Physics, 89500-00 Caçador, Santa Catarina, Brazil
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IFRS—Federal Institute of Rio Grande do Sul, Campus Rio Grande, Department of Geoprocessing, 96201-460 Rio Grande, Rio Grande do Sul, Brazil
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Author to whom correspondence should be addressed.
Academic Editors: Wolfgang Kainz and Paolo Dabove
ISPRS Int. J. Geo-Inf. 2021, 10(3), 162; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10030162
Received: 3 January 2021 / Revised: 4 March 2021 / Accepted: 11 March 2021 / Published: 12 March 2021
This paper presents the validation of the End Point Rate (EPR) tool for QGIS (EPR4Q), a tool built-in QGIS graphical modeler for calculating the shoreline change with the end point rate method. The EPR4Q tries to fill the gaps in user-friendly and free open-source tools for shoreline analysis in a geographic information system environment since the most used software—Digital Shoreline Analysis System (DSAS)—although being a free extension, it is created for commercial software. Additionally, the best free, open-source option to calculate EPR is called Analyzing Moving Boundaries Using R (AMBUR); since it is a robust and powerful tool, the complexity can restrict the accessibility and simple usage. The validation methodology consists of applying the EPR4Q, DSAS, and AMBUR with different types of shorelines found in nature, extracted from the US Geological Survey Open-File. The obtained results of each tool were compared with Pearson’s correlation coefficient. The validation results indicate that the EPR4Q tool acquired high correlation values with DSAS and AMBUR, reaching a coefficient of 0.98 to 1.00 on linear, extensive, and non-extensive shorelines, proving that the EPR4Q tool is ready to be freely used by the academic, scientific, engineering, and coastal managers communities worldwide. View Full-Text
Keywords: shoreline evolution; open-source software; Geographic Information System (GIS); modeling shoreline evolution; open-source software; Geographic Information System (GIS); modeling
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MDPI and ACS Style

Terres de Lima, L.; Fernández-Fernández, S.; Marcel de Almeida Espinoza, J.; da Guia Albuquerque, M.; Bernardes, C. End Point Rate Tool for QGIS (EPR4Q): Validation Using DSAS and AMBUR. ISPRS Int. J. Geo-Inf. 2021, 10, 162. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10030162

AMA Style

Terres de Lima L, Fernández-Fernández S, Marcel de Almeida Espinoza J, da Guia Albuquerque M, Bernardes C. End Point Rate Tool for QGIS (EPR4Q): Validation Using DSAS and AMBUR. ISPRS International Journal of Geo-Information. 2021; 10(3):162. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10030162

Chicago/Turabian Style

Terres de Lima, Lucas, Sandra Fernández-Fernández, Jean Marcel de Almeida Espinoza, Miguel da Guia Albuquerque, and Cristina Bernardes. 2021. "End Point Rate Tool for QGIS (EPR4Q): Validation Using DSAS and AMBUR" ISPRS International Journal of Geo-Information 10, no. 3: 162. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10030162

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