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- Boundary Effects
- Presence of Boundaries Within Area
- Equivalent Smoothing
- Filter Weights
- Getting Results
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Study-area boundary effects
Boundary Kernels:
The roughness of density estimates increases towards the
edges of a study region as the effective size of the filter decreases because
of the absence of observations beyond the border. A common method of dealing
with this is to increase the size of the window width in the vicinity of the
boundary (see Scott, 1992, p. 146).
Presence of Boundaries Within Area
Breaking a smooth -- the decision in the filtering of data to
cut off a spatial sequence along a given line and to regard the spatial values
as belonging to two distinct data domains (see Tukey, 19 p. 237), and to analyze
them accordingly.
When the size of the spatial filter is varied to accomplish
an equal number of observations.
Can permit the interval width to vary to accomplish "equivalent
smoothing." This could be done by finding the interval such that equal sample
size is in the filter; (Scott, 1992, p. 146).
The relative weight given an observation within the filter area.
"Boxcar weights" is the term used if equal weights are given all observations
within the spatial filter area, (Scott, p.128).
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