Numerical Data Modelling and Classification in Marine Geology by the SPSS Statistics

Yıl 2019, Cilt: 5 Sayı: 2, 90 - 99, 30.06.2019

Polina Lemenkova

Öz

The paper focuses on the geostatistical analysis of the data set on the
Philippine archipelago. The research question is understanding variability in
several geospatial parameters (geology, geomorphology, tectonics and
bathymetry) in different segments of the study area. The initial data set was
generated in QGIS by digitizing 25 cross-sectioning profiles. The data set  contained information on the geospatial parameters
in the samples by profiles. Modelling and statistical analysis were performed
in SPSS IBM Statistics software. The analysis of the topography shows strong
variability of the elevations in the samples with the extreme depths in the
central part of the study area (profile 13 with -9,400 m) and highest
elevations in its south-western part (profile 17 with 1950 m). The analysis of
the geological classes and lithology shows maximal samples of the basic
volcanic rocks (40,40%) followed by mixed sedimentary consolidated rocks (31,90
%). Pairwise analysis of the sediment thickness and slope aspect demonstrates
correlation between these two variables with the maximal sediment layer in the
profiles 1-4 crossing the Philippines. The hierarchical dendrogram clustering
of the bathymetry by three approaches shown maximal correlation of 5 clusters
containing profile groups: 12-18 (centre), 22-25 (south-west), 1-2 (north), 7-8
(north-east), 19-21 (south-west). Other profiles show lesser similarities in
the bathymetric patterns. The forecasting models were computed for the
geospatial variables showing gradual increase in the gradient angles southwards
and increased values for the sediment thickness in the north. Technically, the
results proved effectiveness of the SPSS application of the geological data modelling.The paper focuses on the geostatistical analysis of the data set on the
Philippine archipelago. The research question is understanding variability in
several geospatial parameters (geology, geomorphology, tectonics and
bathymetry) in different segments of the study area. The initial data set was
generated in QGIS by digitizing 25 cross-sectioning profiles. The data set  contained information on the geospatial parameters
in the samples by profiles. Modelling and statistical analysis were performed
in SPSS IBM Statistics software. The analysis of the topography shows strong
variability of the elevations in the samples with the extreme depths in the
central part of the study area (profile 13 with -9,400 m) and highest
elevations in its south-western part (profile 17 with 1950 m). The analysis of
the geological classes and lithology shows maximal samples of the basic
volcanic rocks (40,40%) followed by mixed sedimentary consolidated rocks (31,90
%). Pairwise analysis of the sediment thickness and slope aspect demonstrates
correlation between these two variables with the maximal sediment layer in the
profiles 1-4 crossing the Philippines. The hierarchical dendrogram clustering
of the bathymetry by three approaches shown maximal correlation of 5 clusters
containing profile groups: 12-18 (centre), 22-25 (south-west), 1-2 (north), 7-8
(north-east), 19-21 (south-west). Other profiles show lesser similarities in
the bathymetric patterns. The forecasting models were computed for the
geospatial variables showing gradual increase in the gradient angles southwards
and increased values for the sediment thickness in the north. Technically, the
results proved effectiveness of the SPSS application of the geological data modelling.

Anahtar Kelimeler

Geological Modelling, SPSS Statistics, Data Analysis, Philippines, Marine Geology

Kaynakça

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