(4) This paper in particular investigates whether
spatial clustering of income and average education levels can explain their distribution across Pakistani districts.
To test the hypothesis of
spatial clustering of disease outbreaks, it was performed an analysis using the Kfunction (RIPLEY, 1977; BAILEY & GATRELL, 1995).
(5.) It should be noted that estimations use
spatial clustering variable that also include regions in other provinces (West Java, DI Yogyakarta, and East Java) have been experimented and give significant results and its impacts are rather higher than the first version of the
spatial clustering measure.
In efforts to objectively identify where the key clusters of IT firm activity are located within the metropolitan environment, Crimestat's nearest neighbour hierarchical
spatial clustering technique was employed.
British Columbia's next wave strength is evident from this research, but observations of sectoral diversity and
spatial clustering are only an initial step in understanding the success of this region.
Reid (1994) tests the effect of just-in-time inventory control on
spatial clustering in observing the level of inputs purchased locally for a set of 239 Japanese-owned manufacturing plants in the U.S.
At lower rates of disturbance, Bromus showed a non-linear, but minimal, response to changes in
spatial clustering of disturbances.
i) To examine
spatial clustering of leprosy using Moran's I statistic in the data set.
To identify community-level HCA
spatial clustering, we used the Poisson model in SaTScan (7) with a maximum cluster size of 25% of the population at risk.
Based on a measure of
spatial clustering of competitors, Pennerstorfer and Weiss (2013) substantiated the effects of local market power on petrol prices with a particular focus on the significance of coordinated pricing behaviour using the difference-in-difference approach (i.e.
For
Spatial clustering methods have great advantages in solving and analyzing complex problems lack of background information, the method of
spatial clustering spatial data has been one of the most active and most widely used technology in mining field.
The resultant value of a Moran's I for a variable of interest ranges from approximately -1 to +1; values nearer -1 indicate spatial dispersion, those near +1 suggest
spatial clustering, and values close to 0 indicate a random spatial pattern.