Articles | Volume 15, issue 2
https://doi.org/10.5194/nhess-15-349-2015
https://doi.org/10.5194/nhess-15-349-2015
Research article
 | 
27 Feb 2015
Research article |  | 27 Feb 2015

Analysing the spatial patterns of erosion scars using point process theory at the coastal chalk cliff of Mesnil-Val, Normandy, northern France

J. Rohmer and T. Dewez

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Cited articles

Baddeley, A. and Turner, R.: spatstat: An R Package for Analyzing Spatial Point Patterns, J. Stat. Software, 12, 2005.
Baddeley, A., Moller, J., and Waagepetersen, R.: Non- and semiparametric estimation of interaction in inhomogeneous point patterns, Statistica Neerlandica, 54, 329–350, 2000.
Baddeley, A., Møller, J., and Pakes, A. G.: Properties of residuals for spatial point processes, Ann. I. Stat. Math., 60, 627–649, 2008.
Besag, J. E.: Contribution to the discussion of Dr. Ripley's paper, J. Roy. Stat. Soc. B, 39, 193–195, 1977.
Bird, F.: Coastal Geomorphology, an Introduction, Wiley, Chicester, UK, 322 pp., 2000.
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This article uses summary statistics of spatial point process theory to study the spatio-temporal pattern of a rockfall inventory recorded with repeated terrestrial laser scanning surveys at a chalk coastal cliff site in Normandy, France. This allows testing and quantifying the significance of geomorphological observations. From a spatial distribution perspective, behaviours of small and large scars cannot be considered equivalent, suggesting that erosion processes and triggering factors differ.
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