2013
DOI: 10.1016/j.geomorph.2013.03.005
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Quantifying spatial and temporal trends in beach–dune volumetric changes using spatial statistics

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Cited by 24 publications
(15 citation statements)
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References 20 publications
(31 reference statements)
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“…The local indicators of spatial autocorrelations (LISA) method is used in the natural sciences to find out statistically qualifying spatial patterns [15,16]. The local Moran's I statistic is used to identify the level of spatial autocorrelation based on a given geographical variable with respect to its neighbors [15,16], and it has been successfully implemented in many previous research projects related to environmental variables [16][17][18][19][20]. Further, LISA clusters support the identification of hotspots and cold spots [15].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The local indicators of spatial autocorrelations (LISA) method is used in the natural sciences to find out statistically qualifying spatial patterns [15,16]. The local Moran's I statistic is used to identify the level of spatial autocorrelation based on a given geographical variable with respect to its neighbors [15,16], and it has been successfully implemented in many previous research projects related to environmental variables [16][17][18][19][20]. Further, LISA clusters support the identification of hotspots and cold spots [15].…”
Section: Introductionmentioning
confidence: 99%
“…J. Geo-Inf. 2018, 7,20 12 of Scatter plots between electrical conductivity and depth to water in March, April, May, and June.…”
mentioning
confidence: 99%
“…Generally, one central profile with additional profiles on each side is surveyed from the low water line to the foot of the dune every day during low tide. However, large differences in topographic response to the incoming hydrodynamics may exist alongshore (Eamer and Walker, 2013;Fernández-Fernández et al, 2016;Cohn et al, 2017). Therefore, profiles may be insufficient to represent the beach morphology, especially when the profile spacing is > 100 m (Swales, 2002;Bernstein et al, 2003;Pietro et al, 2008).…”
Section: Net Transport Reflected On Topographic Changesmentioning
confidence: 99%
“…The significance of I in each SU was assessed through a pseudo p value generated using n (= 10000 in the present study) random permutations of the neighbouring array elements of the particular SU (Anselin et al, 2006). Additionally, to quantify clusters of extreme values of y, we decomposed the global measure into a set of local Moran's I values (Anselin, 1995;O'Sullivan and Unwin, 2010;Eamer and Walker, 2013;Dekavalla and Argialas, 2018;Yuan et al, 2018). The local I for a variable y was calculated as follows (after Anselin, 1995):…”
Section: Spatial Arrangement Of Fractal Parametersmentioning
confidence: 99%