Application of the AMBUR R package for spatio-temporal analysis of shoreline change: Jekyll Island, Georgia, USA

Computers & Geosciences - Tập 41 - Trang 199-207 - 2012
Chester W. Jackson1,2, Clark R. Alexander2,3, David M. Bush4
1Department of Geology and Geography, Georgia Southern University, Statesboro, GA 30460-8149, USA
2Applied Coastal Research Lab, Georgia Southern University, 10 Ocean Science Circle, Savannah, GA 31411, USA
3Skidaway Institute of Oceangraphy, 10 Ocean Science Circle, Savannah, GA 31411, USA
4Department of Geosciences, University of West Georgia, 1601 Maple Street, Carrollton, GA 30118, USA

Tài liệu tham khảo

Bodansky, E., Gribov, A., Pilouk, M., 2002. Smoothing and compression of lines obtained by raster-to-vector conversion. In: Lecture Notes In Computer Science, vol. 2390, Springer Berlin/Heidelberg, pp. 256–265. Clow, J.B., Leatherman, S.P., 1984. Metric mapping: An automated technique of shoreline mapping. In: Proceedings of the 44th American Congress on Surveying and Mapping, Falls Church, Virginia, American Society of Photogrammetry, pp. 309–318. Crowell, 1997, On forecasting future U.S. shoreline positions: A test of algorithms, Journal of Coastal Research, 13, 1245 Crowell, 1991, Historical shoreline change: Error analysis and mapping accuracy, Journal of Coastal Research, 7, 839 Dolan, 1978, A new photogrammetric method for determining shoreline erosion, Coastal Engineering, 2, 21, 10.1016/0378-3839(78)90003-0 Dolan, 1991, Temporal analysis of shoreline recession and accretion, Journal of Coastal Research, 7, 723 ESRI (Environmental Systems Research Institute), 1998. ESRI Shapefile Technical Description, an ESRI White Paper, 28pp. Fenster, 1993, A new method of predicting shoreline positions from historical data, Journal of Coastal Research, 7, 147 Frazer, 2009, Modeling storms improves estimates of long-term shoreline change, Geophysical Research Letters, 36, L20404, 10.1029/2009GL040061 Frazer, 2009, Toward parsimony in shoreline change prediction (I): Basis function methods, Journal of Coastal Research, 25, 366, 10.2112/06-0756.1 Genz, 2009, Toward parsimony in shoreline change prediction (II): Applying basis function methods to real and synthetic data, Journal of Coastal Research, 25, 380, 10.2112/06-0757.1 Hoeke, R.K., Zarillo, G.A., Synder, M., 2001. A GIS based tool for extracting shoreline positions from aerial imagery (BeachTools). Coastal and Hydraulics Engineering Technical Note CHETN-IV-37, US Army Engineer Research and Development Center, Vicksburg, MS, 12pp. Jackson, C.W., 2004. Quantitative shoreline change analysis of and inlet-influenced transgressive barrier system: Figure Eight Island, North Carolina. Unpublished M.Sc. Thesis, University of North Carolina, Wilmington, North Carolina, 95pp. Jackson, C.W., 2009. Assessing historical shoreline changes and erosion hazards using tools developed for ArcGIS and R. In: Proceedings of the NOAA Coastal GeoTools 2009 Conference Program, March 2–5, 2009, Myrtle Beach, South Carolina, p. 102. Jackson, C.W., Alexander, C.R., Bush, D.M., 2009. Assessing shoreline change and coastal hazards for the georgia coast. Southeastern Geological Society of America Abstracts with Programs, Southeastern Section–58th Annual Meeting, March 12–13, 2009, Tampa, Florida. Jackson, C.W., 2010. Basic user guide for the AMBUR package for R, version 1.0a. In preparation. Loader, 1999 R Development Core Team, 2011. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, 〈http://www.R-project.org/〉. Thieler, E.R., Himmelstoss, E.A., Zichichi, J.L., Ergul, A., 2009. Digital Shoreline Analysis System (DSAS) version 4.0—An ArcGIS extension for calculating shoreline change. U.S. Geological Survey Open-File Report 2008-1278, 79 pp. 〈http://pubs.usgs.gov/of/2008/1278/〉. Zarillo, G.A., Kelley, J., Larson, V., 2008. A GIS based tool for extracting shoreline positions from aerial imagery (BeachTools) revised. Coastal and Hydraulics Laboratory Engineering Technical Note ERDC/CHL CHETN-IV-73, U.S. Army Engineer Research and Development Center, Vicksburg, MS, 14pp.