<p>Getis-Ord quadrats (on left) display areas where the General G value was significant for clustering. Moran’s I quadrats (on right) display areas of significantly high clustering and significantly low clustering. These statistics recognize slightly different areas as “clustered” due to differences in the ways in which they calculate spatial relationships. Also note that between sampling times, significant clusters often overlap or are immediately adjacent to one another, suggesting that transmission occurs over a relatively small scale.</p
Abstract Background Investigation of global clustering patterns across regions is very important in ...
The second panel depicts the same sites color-coded to match significant site clusters (Figs 2B and ...
<p>Thick blue line: MINs. Thick orange line: DNs. Thin blue line: MI clusters. The average clusterin...
<p>Spatial clustering trends (A). Significance of clustering was analysed using the Getis-Ord Gi* st...
Geographical data usually exhibit some amount of spatial dependency, a correlation between the value...
<p>Moran’s I value of 1.0 indicates very strong clustering of low or high ENCS values (Moran’s I = -...
<p>(A) Differences between the HC and PM groups in subjects' structural networks. The black solid po...
<p>Intraregional clusters are marked in dark grey, interregional in light grey.</p
<p>Statistical comparison between histograms of cluster sizes for the different strains.</p
BackgroundInvestigation of global clustering patterns across regions is very important in spatial da...
<p>Mean clustering coefficient for different values of <i>σ</i> (standard deviation of the dispersal...
The spatial scan statistic method has been widely used for detecting disease clusters. Its results m...
<p>Clusters of disease cases caused by a point source (A) show a different pattern than clusters cau...
<p>Clustering analysis results, indicating the number, configuration and distinctiveness (mixing pro...
We study the clustering of galaxies in real and redshift space using the Optical Redshift Survey (OR...
Abstract Background Investigation of global clustering patterns across regions is very important in ...
The second panel depicts the same sites color-coded to match significant site clusters (Figs 2B and ...
<p>Thick blue line: MINs. Thick orange line: DNs. Thin blue line: MI clusters. The average clusterin...
<p>Spatial clustering trends (A). Significance of clustering was analysed using the Getis-Ord Gi* st...
Geographical data usually exhibit some amount of spatial dependency, a correlation between the value...
<p>Moran’s I value of 1.0 indicates very strong clustering of low or high ENCS values (Moran’s I = -...
<p>(A) Differences between the HC and PM groups in subjects' structural networks. The black solid po...
<p>Intraregional clusters are marked in dark grey, interregional in light grey.</p
<p>Statistical comparison between histograms of cluster sizes for the different strains.</p
BackgroundInvestigation of global clustering patterns across regions is very important in spatial da...
<p>Mean clustering coefficient for different values of <i>σ</i> (standard deviation of the dispersal...
The spatial scan statistic method has been widely used for detecting disease clusters. Its results m...
<p>Clusters of disease cases caused by a point source (A) show a different pattern than clusters cau...
<p>Clustering analysis results, indicating the number, configuration and distinctiveness (mixing pro...
We study the clustering of galaxies in real and redshift space using the Optical Redshift Survey (OR...
Abstract Background Investigation of global clustering patterns across regions is very important in ...
The second panel depicts the same sites color-coded to match significant site clusters (Figs 2B and ...
<p>Thick blue line: MINs. Thick orange line: DNs. Thin blue line: MI clusters. The average clusterin...