End Point Rate Tool for QGIS (EPR4Q): Validation Using DSAS and AMBUR
Abstract
:1. Introduction
2. Study Areas
3. Materials and Methods
3.1. EPR4Q Tool Creation
3.1.1. EPR Method
3.1.2. EPR Forecast and Visualization
3.2. Validation Process
3.2.1. Shorelines Data
3.2.2. Transects Selection and Statistical Analysis
4. Results
4.1. Linear/Extensive/Ocean to the South—Concepcion (CA)
4.2. Nonlinear/Extensive/Ocean to the West—Arlight (CA)
4.3. Linear/Non-Extensive/Ocean to the East—Hampton (NH)
4.4. Nonlinear/Non-Extensive/Ocean to the North—Rockport (MA)
5. Discussion
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Shoreline | Location | Type | Extension | Orientation | Date |
---|---|---|---|---|---|
Concepcion | Santa Barbara | Linear | Extensive (11 km) | Ocean to the west | Mar 1976–Sep 1993 |
Arlight | Santa Barbara | Nonlinear | Extensive (4 km) | Ocean to the south | Mar 1976–Nov 1993 |
Hampton | Rockingham | Linear | Non-extensive (1 km) | Ocean to the east | Jul 1953–Sep 2000 |
Rockport | Essex | Nonlinear | Non-extensive (<1 km) | Ocean to the north | Oct 1951–Oct 1994 |
Parameter | AMBUR | EPR4Q | DSAS |
---|---|---|---|
Minimum (m·y−1) | −0.84 | −0.82 | −0.81 |
Maximum (m·y−1) | 0.47 | 0.47 | 0.48 |
Mean (m·y−1) | −0.12 | −0.12 | −0.12 |
Median (m·y−1) | −0.08 | −0.09 | −0.08 |
Standard deviation (m·y−1) | 0.25 | 0.25 | 0.26 |
Parameter | AMBUR | EPR4Q | DSAS |
---|---|---|---|
Minimum (m·y−1) | −2.11 | −1.82 | −1.86 |
Maximum (m·y−1) | 3.3 | 1.6 | 3.3 |
Mean (m·y−1) | 0 | 0 | 0.01 |
Median (m·y−1) | −0.03 | −0.03 | −0.01 |
Standard deviation (m·y−1) | 0.47 | 0.40 | 0.46 |
Parameter | AMBUR | EPR4Q | DSAS |
---|---|---|---|
Minimum (m·y−1) | −0.15 | −0.15 | −0.15 |
Maximum (m·y−1) | 1.72 | 1.73 | 1.72 |
Mean (m·y−1) | 0.76 | 0.78 | 0.76 |
Median (m·y−1) | 0.62 | 0.58 | 0.62 |
Standard deviation (m·y−1) | 0.71 | 0.71 | 0.71 |
Parameter | AMBUR | EPR4Q | DSAS |
---|---|---|---|
Minimum (m·y−1) | −0.21 | −0.19 | −0.32 |
Maximum (m·y−1) | 0.35 | 0.38 | 0.19 |
Mean (m·y−1) | 0.05 | 0.07 | −0.07 |
Median (m·y−1) | 0.07 | 0.09 | −0.08 |
Standard deviation (m·y−1) | 0.11 | 0.1 | 0.1 |
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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://doi.org/10.3390/ijgi10030162
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://doi.org/10.3390/ijgi10030162
Chicago/Turabian StyleTerres 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://doi.org/10.3390/ijgi10030162
APA StyleTerres de Lima, L., Fernández-Fernández, S., Marcel de Almeida Espinoza, J., da Guia Albuquerque, M., & Bernardes, C. (2021). End Point Rate Tool for QGIS (EPR4Q): Validation Using DSAS and AMBUR. ISPRS International Journal of Geo-Information, 10(3), 162. https://doi.org/10.3390/ijgi10030162