. Collected reprints / Atlantic Oceanographic and Meteorological Laboratories [and] Pacific Oceanographic Laboratories. Oceanography 74 JOHN D. BOON III during the beginning of the flood stage, scour during the high-water stage, and a final deposition at the conclusion of the cy- cle. These forces are superimposed on the long-term conditions affecting the beach and produce no net erosion or deposition in themselves. One must consider, however, that individual particle motion may be mis- leading in studies using a travel time rep- resenting only a portion of the full tidal cycle.
. Collected reprints / Atlantic Oceanographic and Meteorological Laboratories [and] Pacific Oceanographic Laboratories. Oceanography 74 JOHN D. BOON III during the beginning of the flood stage, scour during the high-water stage, and a final deposition at the conclusion of the cy- cle. These forces are superimposed on the long-term conditions affecting the beach and produce no net erosion or deposition in themselves. One must consider, however, that individual particle motion may be mis- leading in studies using a travel time rep- resenting only a portion of the full tidal cycle. In this respect, sand transport on more objectively, a statistical method known as trend surface analysis was em- ployed. Essentially, this method provides a means of separating the main types of vari- ability and evaluating the significance of major trends present. These trends may be represented by simple mathematical formu- las. Miller (1956) first utihzed trend surfaces in relating sediment size parameters to cur- rent and wave systems. Since Miller's work. Berm Crest. Fig. —Study area showing foreshore limits and sample locations beaches influenced by the tide is not anal- ogous to sand transport by streams whose rate of flow is more or less steady. TREND SURFACE ANALYSIS According to the present approach, hand- contoured maps of observed tracer distribu- tions are not considered adequate informa- tion in themselves. In constructing contour maps, subjective interpretations are un- avoidable; correct visual interpretation of trends over the range of values spread out horizontally may well be impossible due to the masking effect of local variability. To treat the concentration data of this study others ( Grant, 1957; Krumbein, 1959) have explained the utility of trend surfaces in the areal analysis of geophysical data. Whitten (1963) presents a computer pro- gram for surface-fitting procedures for geo- logical models involving areally distributed data. A brief resu
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