Investigating spatial correlation in the RISERnet data

Untitled 2The spatial correlation in the RISERnet data is being analyzed by calculating the semivariogram of the data, using Moran’s I and Geary’s C autocorrelation statistics. The results show that data captured at different time of a day showed very different levels of spatial autocorrelation. Current work is applying the geostatistics methods described above (e.g., cokriging) to investigate the relationship between different environmental variables, and between these environmental variables and topography.

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