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A description of the CSERA can
be found in Statistics Canada, 1997.
HYDEX is a relational database that contains inventory information
on the various streamflow, water level, basin area, and sediment stations
(both active and discontinued) in Canada. HYDAT is a relational database that
contains the actual computed data for the stations listed in HYDEX. These
data include: daily and monthly means of flow, water levels and sediment concentrations
(Environment Canada, 2007).
Albers Conic Equal Area projection is well suited for projecting
large landmasses with an east-west orientation while at the same time preserving
areas accurately. This study used this projection because of Canada's
large east-west extent and the need to accurately preserve areas for calculating
the values of water yield.
The bull's-eye
effect occurs when certain observations unduly influence the interpolation,
resulting in localized spots of extreme value in the surface centered over
the observation, which decreases radially with distance forming what looks
like a target, or "bull's-eye".
For a more detailed description of the kriging system
along with its matrix notation see Borga and Vizzaccaro, (1997) or Webster
and Oliver, (2000).
The 300 km
distance was determined by evaluating several different distances (larger
and smaller) and visually assessing the predicted surfaces along their zone
divides. Distances smaller than 300 km did not result in a smooth
transition between zones while distances larger than 300 km did
not correspond well to the semivariogram model built with the observations
within the zone (for example, the semivariogram model produced in zone 1 is
not suitable for the observations found in zone 4).
This rule was used because the lag increment can strongly influence the semivariogram,
an increment smaller than the minimum distance between the data observations
may lead to too few observation pairs, resulting in an erratic semivariogram
(Webster and Oliver, 2001).
Artefacts are defined here
as breaks in the continuous surface caused by abrupt changes in values where
it becomes visually clear the interpolation does not perform well. This usually
occurs when the interpolation is extrapolating to areas beyond the convex
hull formed by the observations.
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