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. 2012 Apr 3:11:10.
doi: 10.1186/1476-072X-11-10.

Determining optimal neighborhood size for ecological studies using leave-one-out cross validation

Deok Ryun Kim  1 , Mohammad Ali, Dipika Sur, Ahmed Khatib, Thomas F Wierzba
Affiliations

Determining optimal neighborhood size for ecological studies using leave-one-out cross validation

Deok Ryun Kim et al. Int J Health Geogr. .

Abstract

We employed a leave-one-out cross validation to determine optimally sized neighborhood. Variations between a single point and the other points within each filter size for all the points in the study area were evaluated, and the mean squared error (MSE) for each filter was calculated. The filter with the lowest MSE was considered as the optimal neighborhood. The method is useful in determining the optimal neighborhood for both geographic and population filters.

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Figures

Figure 1
Figure 1
An example of the fixed geographic and the nearly fixed population filters.
Figure 2
Figure 2
Coefficient of variation (CV) of the population densities in the three study sites.
Figure 3
Figure 3
Mean squared errors (MSEs) for geographic and population filters in the three study sites.
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