The phrase "a spatial cluster for" is correct and usable in written English.
It can be used in contexts related to geography, data analysis, or any field that involves grouping items or phenomena based on their spatial characteristics.
Example: "The researchers identified a spatial cluster for urban heat islands in the city, indicating areas that experience significantly higher temperatures."
Alternatives: "a geographic grouping for" or "a spatial grouping for".
This suggests a spatial clustering of diabetes mortality not entirely accounted for by the covariates in the model.
We first performed a spatial cluster analysis for participants only with crude models and models adjusted for only age and gender.
A spatial cluster analysis was performed for each area applying a Bayesian hierarchical model.
For this method, many overlapping circles were used to define the scanning window, and each window was a possible candidate for a spatial cluster.
Based on the strategies mentioned above, a novel method CBEP was proposed for identifying conformational B-cell epitopes by adopting cost-sensitive ensemble scheme with the combination of sequence-derived features and a spatial clustering algorithm for predicting potential epitopes.
The lack of evidence of purely spatial clustering (ie, tendency of disease-positive farms to occur near other disease-positive farms - spatial autocorrelation), was not in agreement with detection of a significant purely spatial cluster, for two possible reasons.
Spatial analysis detected a statistically significant spatial cluster for the following socioeconomic and environmental variables: type of house floor; susceptibility of house flooding during rain; type of toilet; access to mineral water and water from the public system; possession of household; maternal education; and ethnicity.
(Estivill-Castro and Houle 2001; Ng and Han 1994) Actually, a spatial clustering algorithm searches for a specified number of representative points in the spatial space.
However, the constraint condition for a spatial clustering comparison, e.g., defined as Moran's tested clusters on both sides, should be satisfied before testing the logistic regression for a comparison.
Combination of a spatial clustering process reveals the most suitable areas for rural buildings siting with their landscapes.
