The topographic structure of the ocean bottom is investigated at diffe
rent scales of resolution to answer the question: Can the seafloor be
described as a fractal process? Methods from geostatistics, the theory
of regionalized variables, are used to analyze the spatial structure
of the ocean floor at different scales of resolution. The key to the a
nalysis is the variogram criterion: Self-similarity of a stochastic pr
ocess implies self-similarity of its variogram. The criterion is deriv
ed and proved here; it also is valid for special cases of self-affinit
y (in a sense adequate for topography). It has been proposed that seaf
loor topography can be simulated as a fractal (an object of Hausdorff
dimension strictly larger than its topological dimension), having scal
ing properties (self-similarity or self-affinity). The objective of th
is study is to compare the implications of these concepts with observa
tions of the seafloor. The analyses are based on SEABEAM bathymetric d
ata from the East Pacific Rise at 13 degrees N/104 degrees W and at 9
degrees N/104 degrees W and use tracks that run both across the ridge
crest and along the ridge flank. In the geostatistical evaluation, the
data are considered as a stochastic process. The spatial continuity o
f this process is described by variograms that are calculated for diff
erent scales and directions. Applications of the variogram criterion t
o scale-dependent variogram models yields the following results: Altho
ugh the seafloor may be a fractal in the sense of the definition invol
ving the Hausdorff dimension, it is not self-similar, nor self-affine
(in the given sense). Mathematical models of scale-dependent spatial s
tructures are presented, and their relationship to geologic processes
such as ridge evolution, crust formation, and sedimentation is discuss
ed.