AI-GEOSTATS: Spatial analysis magnetic susceptibility data
- I'm interested in different approaches to the estimation of significance
(based on amplitude) of regions in planar magnetic susceptibility data.
To summarise, the data set would consist of a modelled planar distribution
of susceptibility across a landscape, within which various anomalous highs
and lows could be considered relevant or significant. While one approach
would be to analyse the anomaly strength in terms of simple non-spatial
statistics, I am wondering what approaches could be used that would use the
spatial behaviour of the model also.
I'd be grateful for any thoughts and will summarise the responses back to
Reconnaissance & Geophysics for Archaeology
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