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ogy for evaluating and testing ecological models by Rykiel (
1996
), whilst
efficiency
reflects basic considerations of computing costs and applicability for practical use.
•
Verification
is the technical matter that relates to howaccurately the analytical ideas
are translated into computer code or mathematical formalisms. Verification aims at
assuring that a method (a.k.a. data mining technique) produces mechanically and
logically correct results. For example, debugging code is a verification process.
In terms of algorithm analysis verification is related to
algorithmic efficiency
.
Sometimes verification is referred to as an internal evaluation.
2646000
2648000
2650000
2652000
0
0.5
1
2
Release Site
Kilometers
N
sinuosity
Loft
high
low
streets
sealed
metalled
2646000
2648000
2650000
2652000
Fig. 3.8
Aggregation. The field summarizes and aggregates the derived parameter
trajectory sin-
uosity
for 54 racing pigeon in a field experiment. The aggregation reveals highest sinuosity values
around the release site (
P3
. Laube et al.
2007
) (Reprinted from
Computers, Environment and Urban
Systems
, 31(5), Laube, P., Dennis, T., Forer, P., and Walker, M., Movement Beyond the Snapshot—
Dynamic Analysis of Geospatial Lifelines, p. 495, Copyright (2007), with permission fromElsevier)
