End Point Rate Tool for QGIS (EPR4Q): Validation using DSAS and AMBUR
| Autor: | Sandra Fernández-Fernández, Miguel da Guia Albuquerque, Cristina Bernardes, Jean Marcel de Almeida Espinoza, Lucas Terres de Lima |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Geographic information system
010504 meteorology & atmospheric sciences Correlation coefficient Computer science open-source software Geography Planning and Development lcsh:G1-922 010501 environmental sciences computer.software_genre 01 natural sciences Earth and Planetary Sciences (miscellaneous) Computers in Earth Sciences 0105 earth and related environmental sciences Shore Commercial software geography End point geography.geographical_feature_category shoreline evolution business.industry modeling Open source software atmospheric_science Geological survey Data mining Geographic Information System (GIS) business computer lcsh:Geography (General) |
| Zdroj: | ISPRS International Journal of Geo-Information, Vol 10, Iss 162, p 162 (2021) ISPRS International Journal of Geo-Information Volume 10 Issue 3 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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