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Field modeling with sampled distances

Computer-Aided Design, 2006
Traditional mesh-based approaches to the modeling and analysis of physical fields within geometric models require some form of topological reconstruction and conversion in the mesh generation process. Such manipulations tend to be tedious and error-prone manual processes that are not easily automated.
Michael Freytag   +2 more
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Perpendicular Distance Models for Line Transect Sampling

Biometrics, 1985
Perpendicular distance line transect models are examined to assess whether any single model can provide a general procedure for analysing line transect data. Of the two-parameter models considered, the hazard-rate model appears promising, whereas the exponential power series and exponential quadratic models do not.
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Static sampling distance relays

Proceedings of the Institution of Electrical Engineers, 1968
A sampling technique has been developed which allows a comparison of instantaneous values derived at different instants of time, thereby dispensing with the need to phase-shift or mix signals derived from the primary line quantities. Both amplitude and phase comparisons are used to derive a variety of impedance characteristics.
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Revisiting adaptively sampled distance fields

Proceedings XIV Brazilian Symposium on Computer Graphics and Image Processing, 2002
Implicit surfaces are a powerful shape description for many applications in computer graphics. An implicit surface is defined by a function f:R/sup 3//spl rarr/R as the set of points satisfying f(p)=0. Implicit representation becomes more effective when f is a signed distance function, i.e., when |f| gives the distance to the closest point on the ...
L.H. de Figueiredo   +2 more
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Introduction to advanced distance sampling

2004
Abstract Distance sampling, primarily line transect and point transect sampling, has had a relatively short history. The earliest attempts to use distances to detected animals to estimate abundance date back to the 1930s, and the first line transect estimator with a rigorous mathematical basis was due to Hayne (1949).
S T Buckland, D R Anderson
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Further topics in distance sampling

2004
Abstract Conceptually, line transects can be considered as one-dimensional distance sampling, because only distances perpendicular to the line of travel are used, even though objects are distributed in two dimensions. Point transects sample distances in those two dimensions because radial detection distances are taken at any angle in ...
K P Burnham   +6 more
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Assessment of distance sampling estimators

2004
Abstract In this chapter we return to conventional line transect sampling, as outlined in Chapter 2, Sections 2.2–2.5. On a number of occasions in the literature, distance sampling methods have been tested by simulation studies. In some cases, the methods are reported to work well (e.g.
R M Fewster, S T Buckland
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General formulation for distance sampling

2004
Abstract Full likelihood functions for distance sampling methods involve assuming probability models for the encounter rate or animal distribution, for the detection process, for cluster size (if animals are detected in clusters), and possibly for other data. Conventional distance sampling (CDS) methods avoid assuming a probability model
D L Borchers, K P Burnham
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Distance Sampling

1993
S. T. Buckland   +3 more
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Distance Sampling

2011
Tiago A. Marques   +4 more
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