spatial

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spatial

 [spa´shal]
pertaining to space.

spa·tial

(spā'shăl), Avoid the misspelling spacial.
Relating to space or a space.

spatial

/spa·tial/ (spa´shul) pertaining to space.

spa·tial

(spā'shăl)
Relating to space or a space.

spatial

pertaining to space.

spatial clustering
in geographical terms the cases in an outbreak of disease are clustered in groups and not spread randomly.
spatial distribution
the distribution of a population within an area.
References in periodicals archive ?
Spatial clustering and market power: evidence from the retail gasoline market.
Spatial clustering analysis of the requirements of the clustering algorithm is more stringent than the traditional clustering, its clustering algorithm, typical requirements are as follows:
2007) "VDBSCAN: varied density based spatial clustering of applications with noise," In Proceedings of the International Conference on Service Systems and Service Management (ICSSSM '07), pp.
It can be found obstacles connectivity adjacent clusters formed by the merger of new clusters, to avoid spatial clustering algorithm with obstacles meaningless over-clustering problem [4].
The use of GIS showed the spatial distribution of cases and helped in the ascertainment of any spatial clustering of cases within the study area, which would have been difficult to ascertain using conventional methods.
Peng Liu, Dong Zhou, Naijun Wu, "Varied Density Based Spatial Clustering of Applications with Noise", 2007, IEEE.
To detect the areas on a census map that have unacceptably dense features, the objective is to find groups of points that have a certain degree of spatial clustering and separate them from the "noise" in the data, that is, the points that do not belong to a cluster.
Local spatial clustering analysis was performed on parasite densities to determine whether higher infection densities were clustered near the Yala River, where most vector breeding sites existed.
The EPA anticipates that the use or development of sophisticated analytical tools will be necessary to disentangle the individual contribution of particulate matter components and copollutants, account for spatial clustering and autocorrelation, and address other analytical complexities.
If we do the opposite, map readers will receive the concept of spatial clustering.
a 1-day gap is left between the baseline and the date on which spatial clustering is being evaluated).
The approach described here controls for the baseline spatial clustering in surveillance data, by searching instead for a change in the geographic distribution of recent events compared to an historical baseline.

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