… ) to quantify the degree of spatial dependence, but with no classification defined at the time
of … study, it is possible to classify the spatial dependence obtained in the study conducted by …

… to develop a new spatial dependency index, called the Spatial Dependence Measure (SDM) …
A classification for a geostatistical index of spatial dependence. Rev Bras Cienc Solo. 2016;…

… spatial dependence accommodating irregularities in image objects. Therefore, in this paper,
a geostatistical … spatial dependence in area-class occurrences of irregular image objects. …

… of incorporating spatial dependence in a heterogeneous region is tested here using an
ensemble learning technique called random forests and a measure of local spatial dependence …

… This article reviews clustering methods designed explicitly for multivariate geostatistical
data in which spatial dependency plays an important role. These clustering techniques are …

… SEIDEL, EJ; OLIVEIRA, MS A classification for a geostatistical index of spatial dependence.
Revista Brasileira de Ciência do Solo , v.40, e0160007, 2016. Available from: http://www.…

… designed for multivariate geostatistical data, in which spatial dependence plays an important
… at the boundaries of different spatial clusters; thereby, they are difficult to classify correctly. …

… The Gaussian model showed strong spatial dependency (23%), whereas the spherical
model exhibited weak (89%). Hence, the GIS-based LPI interpolation technique and …

… SPD tends to generate fewer weak classifications of spatial variability, so it is suggested to
… of spatial dependence than would occur in theory, ie with a degree of spatial dependence …

… Geostatistical techniques like semivariance analysis may be useful for understanding how
segmentation changes spatial dependence … , changes in spatial dependence could be used to …