Results 271 to 280 of about 17,512,468 (321)
Some of the next articles are maybe not open access.
Field modeling with sampled distances
Computer-Aided Design, 2006Traditional 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
openaire +2 more sources
Validating camera trap distance sampling for chimpanzees
American Journal of Primatology, 2019The extension of distance sampling methods to accommodate observations from camera traps has recently enhanced the potential to remotely monitor multiple species without the need of additional data collection (sign production and decay rates) or ...
Noémie Cappelle +4 more
semanticscholar +1 more source
Mark‐Recapture Distance Sampling for Aerial Surveys of Ungulates on Rangelands
Wildlife Society bulletin, 2020Aerial surveys are an efficient technique for counting animals over large geographic areas such as rangelands. In southwestern rangelands, aerial surveys are routinely conducted for ungulates, with the implicit understanding that abundance estimates ...
M. K. Peterson +6 more
semanticscholar +1 more source
Distance functions for matching in small samples
Computational Statistics & Data Analysis, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
E. Dettmann, C. Becker, C. Schmeißer
openaire +1 more source
Revisiting adaptively sampled distance fields
Proceedings XIV Brazilian Symposium on Computer Graphics and Image Processing, 2002Implicit 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 ...
Luiz Henrique de Figueiredo +2 more
openaire +1 more source
2004
Abstract This advanced text focuses on the uses of distance sampling to estimate the density and abundance of biological populations. It addresses new methodologies, new technologies and recent developments in statistical theory and is the follow up companion to Introduction to Distance Sampling (OUP, 2001).
S T Buckland +5 more
openaire +1 more source
Abstract This advanced text focuses on the uses of distance sampling to estimate the density and abundance of biological populations. It addresses new methodologies, new technologies and recent developments in statistical theory and is the follow up companion to Introduction to Distance Sampling (OUP, 2001).
S T Buckland +5 more
openaire +1 more source
Estimating Distance Sampling Detection Functions When Distances Are Measured With Errors
Journal of Agricultural, Biological, and Environmental Statistics, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Borchers, David +3 more
openaire +2 more sources
Some Developments in 'Distance Sampling'
Biometrics, 1967Frequency distributions of the distance from a randomly located point to the nearest (or nth nearest) individual plant or animal are described. Results applicable to systematic and contagious (negative binomial) distributions are derived as supplements to the considerable existing literature on randomly distributed individuals.
openaire +2 more sources
Introduction to Distance Sampling
2001Abstract Offers a comprehensive introduction to distance sampling, a statistical method used by many biologists and conservationists to estimate animal abundance. The text discusses point transect sampling and line transect sampling and also describes several other related techniques.
S T Buckland +5 more
openaire +1 more source
Distance-Based Sampling of Software Configuration Spaces
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE), 2019Configurable software systems provide configuration options to adjust and optimize their functional and non-functional properties. However, to obtain accurate performance predictions, a representative sample set of configurations is required. Different sampling strategies have been proposed, which come with different advantages and disadvantages.
Christian Kaltenecker +4 more
openaire +3 more sources

