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Probable source regions are estimated using a spatial density model, which in turn depends on a geological map identifying the locations of past eruptive vents.
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The kernel density maps were created using a spatial resolution of 100 meters and a search radius (kernel size) of 1000 meters via the software ArcGIS.
In brief, Gubbins predicts and removes recombinant regions using a spatial scanning statistic to identify genomic regions of significantly raised SNP density on each branch of the tree.
We are interested in constructing a spatial density model only using independent events.
Clustering is performed by parent and daughter model in which a spatial density function is used for cluster modeling.
The mixture model is used to convert the locations of past earthquakes into a spatial density map of the subregion.
(a) Calculate a spatial density map of the previous earthquakes in the area using a multivariate normal mixture model.
Under conditions of low cell density we used a spatial clustering analysis to group cells such that the distance between groups effectively constrained communication to cells within groups.
MODELER uses a spatial restraint method to build a three-dimensional image of protein structure and is capable of generating a reliable predicted structure using probability density functions derived from homologous structures and general features of known proteins.
The purpose of the model is to determine the conditional probability that flow inundation of a site will occur, given an effusive eruption at a particular location estimated using the spatial density model discussed previously.
However, a few studies have attempted to use the spatial density of CpGs to normalize the experimental readout of MeDIP-chip [ 25, 54].
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