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from an observations location to the location of the point being estimated (Burrough
and Mc Donnell
1998
). The inverse distance can be raised to a power (e.g. linear,
squared and cubed) to model different geometries (e.g. line, area, volume) (Guan
et al.
1999
). In a comparison of several different deterministic interpolation proce-
dures, Burrough and Mc Donnell (
1998
) and Mathes and Rasmussen (
2006
) found
that using IDW with a squared distance term yielded results most consistent with
Fig. 6
Maps (
a
,
b
) showing the variations in spatiotemporal distribution of F
−
in the study area
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