Spatial dependencies

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Spatial dependencies 

Spatial dependencies refer to the idea that phenomena observed at one location are influenced by conditions, processes, or events occurring at nearby or connected locations. In spatial systems, values are not randomly distributed; instead, they show patterns where neighboring areas tend to be similar (positive spatial dependency) or dissimilar (negative spatial dependency).

This concept is fundamental in geography, environmental science, urban studies, ecology, and spatial data analysis. For example, air pollution levels, land-use patterns, soil properties, disease spread, or economic activities often exhibit spatial dependencies because natural processes, human interactions, and infrastructure networks operate across space. Ignoring spatial dependencies can lead to biased results and incorrect conclusions in modeling and decision-making.

Spatial dependencies are commonly analyzed using spatial statistics and models such as spatial autocorrelation, spatial regression, and geostatistical techniques, which explicitly account for the influence of location and neighborhood relationships.

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