Application of the AMBUR R package for spatio-temporal analysis of shoreline change: Jekyll Island, Georgia, 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 Unpublished M.Sc.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.