4.7 Article

Inferring long-distance connectivity shaped by air-mass movement for improved experimental design in aerobiology

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Summary: This paper introduces a mathematical formalism for constructing spatial and spatiotemporal networks to analyze the movement and connectivity of atmospheric air masses in different geographical areas, with applications in characterizing tropospheric connectivity in specific regions. The methodology presented allows for the identification of seasonal patterns in air mass movements and has potential implications for various fields such as aerobiology and plant epidemiology.

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