End Point Rate Tool for QGIS (EPR4Q)
Validation Using DSAS and Ambur
Bibliographic Data
| ID | 22033828 |
|---|---|
| Authors | Lucas Terres de Lima (0000-0003-0620-0655, University of Aveiro, corresponding author), Sandra Fernández-Fernández (0000-0001-7664-9525, University of Aveiro), Jean Marcel De Almeida Espinoza (0000-0002-7933-2897, Instituto Federal de Educação, Ciência e Tecnologia de Santa Catarina), Miguel Guia Albuquerque (0000-0002-2063-492X, Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul), Miguel da Guia Albuquerque (IFRS—Federal Institute of Rio Grande do Sul, Campus Rio Grande, Department of Geoprocessing, 96201-460 Rio Grande, Rio Grande do Sul, Brazil), Cristina Bernardes (0000-0003-2105-4908, University of Aveiro) |
| Year | 2021 |
| Volume | 10 |
| Issue | 3 |
| Pages | 162 |
| Publication date | 2021-03-12 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi10030162 |
| OpenAlex | W3138335943 |
| Language | EN |
| References cited | 54 |
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
Correlation coefficient · End point · Open source · Open source software · Operating system · Real-time computing · Shore · Coastal and Marine Dynamics · Coastal and Marine Management · Coastal wetland ecosystem dynamics · Computer Science · Mathematics · Geology · Software
| Highly cited | No |
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