Relevant bibliographies by topics / Distance sampling

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Distance sampling'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Distance sampling.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Distance sampling"

1

Kulkarni, Mandar M. "Mahalanobis Distance-based Over-Sampling Technique." Journal of Advanced Research in Dynamical and Control Systems 12, SP8 (July 30, 2020): 874–82. http://dx.doi.org/10.5373/jardcs/v12sp8/20202591.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Richardson, Alice M. "Advanced Distance Sampling." Ecology 89, no. 12 (December 2008): 3550–51. http://dx.doi.org/10.1890/0012-9658-89.12.3550.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Barry, Simon C., and A. H. Welsh. "Distance sampling methodology." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 63, no. 1 (February 2001): 23–31. http://dx.doi.org/10.1111/1467-9868.00274.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Buckland, S. T., C. S. Oedekoven, and D. L. Borchers. "Model-Based Distance Sampling." Journal of Agricultural, Biological, and Environmental Statistics 21, no. 1 (September 3, 2015): 58–75. http://dx.doi.org/10.1007/s13253-015-0220-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Clark, Robert Graham. "Statistical Efficiency in Distance Sampling." PLOS ONE 11, no. 3 (March 7, 2016): e0149298. http://dx.doi.org/10.1371/journal.pone.0149298.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Howe, Eric J., Stephen T. Buckland, Marie‐Lyne Després‐Einspenner, and Hjalmar S. Kühl. "Distance sampling with camera traps." Methods in Ecology and Evolution 8, no. 11 (May 10, 2017): 1558–65. http://dx.doi.org/10.1111/2041-210x.12790.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Nielson, Ryan M., Robert T. Sugihara, Thomas J. Boardman, and Richard M. Engeman. "Optimization of ordered distance sampling." Environmetrics 15, no. 2 (February 20, 2004): 119–28. http://dx.doi.org/10.1002/env.627.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Miller, Mark W. "Distance Sampling: Methods and Applications." Bird Study 63, no. 1 (January 2, 2016): 152–53. http://dx.doi.org/10.1080/00063657.2016.1148352.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Marques, Tiago. "Distance sampling: estimating animal density." Significance 6, no. 3 (August 24, 2009): 136–37. http://dx.doi.org/10.1111/j.1740-9713.2009.00380.x.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Herrero, J., A. García Serrano, C. Prada, and O. Fernández Arberas. "Using block counts and distance sampling to estimate populations of chamois." Pirineos 166 (July 14, 2011): 123–33. http://dx.doi.org/10.3989/pirineos.2011.166006.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Distance sampling"

1

Pollard, John. "Adaptive distance sampling." Thesis, University of St Andrews, 2002. http://hdl.handle.net/10023/15176.

Full text
Abstract:
We investigate mechanisms to improve efficiency for line and point transect surveys of clustered populations by combining the distance methods with adaptive sampling. In adaptive sampling, survey effort is increased when areas of high animal density are located, thereby increasing the number of observations. We begin by building on existing adaptive sampling techniques, to create both point and line transect adaptive estimators, these are then extended to allow the inclusion of covariates in the detection function estimator. However, the methods are limited, as the total effort required cannot be forecast at the start of a survey, and so a new fixed total effort adaptive approach is developed. A key difference in the new method is that it does not require the calculation of the inclusion probabilities typically used by existing adaptive estimators. The fixed effort method is primarily aimed at line transect sampling, but point transect derivations are also provided. We evaluate the new methodology by computer simulation, and report on surveys of harbour porpoise in the Gulf of Maine, in which the approach was compared with conventional line transect sampling. Line transect simulation results for a clustered population showed up to a 6% improvement in the adaptive density variance estimate over the conventional, whilst when there was no clustering the adaptive estimate was 1% less efficient than the conventional. For the harbour porpoise survey, the adaptive density estimate cvs showed improvements of 8% for individual porpoise density and 14% for school density over the conventional estimates. The primary benefit of the fixed effort method is the potential to improve survey coverage, allowing a survey to complete within a fixed time and effort; an important feature if expensive survey resources are involved, such as an aircraft, crew and observers.
APA, Harvard, Vancouver, ISO, and other styles
2

Oedekoven, Cornelia Sabrina. "Mixed effect models in distance sampling." Thesis, University of St Andrews, 2013. http://hdl.handle.net/10023/3618.

Full text
Abstract:
Recently, much effort has been expended for improving conventional distance sampling methods, e.g. by replacing the design-based approach with a model-based approach where observed counts are related to environmental covariates (Hedley and Buckland, 2004) or by incorporating covariates in the detection function model (Marques and Buckland, 2003). While these models have generally been limited to include fixed effects, we propose four different methods for analysing distance sampling data using mixed effects models. These include an extension of the two-stage approach (Buckland et al., 2009), where we include site random effects in the second-stage count model to account for correlated counts at the same sites. We also present two integrated approaches which include site random effects in the count model. These approaches combine the analysis stages for the detection and count models and allow simultaneous estimation of all parameters. Furthermore, we develop a detection function model that incorporates random effects. We also propose a novel Bayesian approach to analysing distance sampling data which uses a Metropolis-Hastings algorithm for updating model parameters and a reversible jump Markov chain Monte Carlo (RJMCMC) algorithm for assessing model uncertainty. Lastly, we propose using hierarchical centering as a novel technique for improving model mixing and hence facilitating an RJMCMC algorithm for mixed models. We analyse two case studies, both large-scale point transect surveys, where the interest lies in establishing the effects of conservation buffers on agricultural fields. For each case study, we compare the results from one integrated approach to those from the extended two-stage approach. We find that these may differ in parameter estimates for covariates that were both in the detection and the count model and in model probabilities when model uncertainty was included in inference. The performance of the random effects based detection function is assessed via simulation and when heterogeneity in the data is present, one of the new estimators yields improved results compared to conventional distance sampling estimators.
APA, Harvard, Vancouver, ISO, and other styles
3

Marques, Tiago André. "Incorporating measurement error and density gradients in distance sampling surveys /." St Andrews, 2007. http://hdl.handle.net/10023/391.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Marques, Tiago Andre Lamas Oliveira. "Incorporating measurement error and density gradients in distance sampling surveys." Thesis, University of St Andrews, 2007. http://hdl.handle.net/10023/391.

Full text
Abstract:
Distance sampling is one of the most commonly used methods for estimating density and abundance. Conventional methods are based on the distances of detected animals from the center of point transects or the center line of line transects. These distances are used to model a detection function: the probability of detecting an animal, given its distance from the line or point. The probability of detecting an animal in the covered area is given by the mean value of the detection function with respect to the available distances to be detected. Given this probability, a Horvitz-Thompson- like estimator of abundance for the covered area follows, hence using a model-based framework. Inferences for the wider survey region are justified using the survey design. Conventional distance sampling methods are based on a set of assumptions. In this thesis I present results that extend distance sampling on two fronts. Firstly, estimators are derived for situations in which there is measurement error in the distances. These estimators use information about the measurement error in two ways: (1) a biased estimator based on the contaminated distances is multiplied by an appropriate correction factor, which is a function of the errors (PDF approach), and (2) cast into a likelihood framework that allows parameter estimation in the presence of measurement error (likelihood approach). Secondly, methods are developed that relax the conventional assumption that the distribution of animals is independent of distance from the lines or points (usually guaranteed by appropriate survey design). In particular, the new methods deal with the case where animal density gradients are caused by the use of non-random sampler allocation, for example transects placed along linear features such as roads or streams. This is dealt with separately for line and point transects, and at a later stage an approach for combining the two is presented. A considerable number of simulations and example analysis illustrate the performance of the proposed methods.
APA, Harvard, Vancouver, ISO, and other styles
5

Glennie, Richard. "Incorporating animal movement with distance sampling and spatial capture-recapture." Thesis, University of St Andrews, 2018. http://hdl.handle.net/10023/16467.

Full text
Abstract:
Distance sampling and spatial capture-recapture are statistical methods to estimate the number of animals in a wild population based on encounters between these animals and scientific detectors. Both methods estimate the probability an animal is detected during a survey, but do not explicitly model animal movement. The primary challenge is that animal movement in these surveys is unobserved; one must average over all possible paths each animal could have travelled during the survey. In this thesis, a general statistical model, with distance sampling and spatial capture-recapture as special cases, is presented that explicitly incorporates animal movement. An efficient algorithm to integrate over all possible movement paths, based on quadrature and hidden Markov modelling, is given to overcome the computational obstacles. For distance sampling, simulation studies and case studies show that incorporating animal movement can reduce the bias in estimated abundance found in conventional models and expand application of distance sampling to surveys that violate the assumption of no animal movement. For spatial capture-recapture, continuous-time encounter records are used to make detailed inference on where animals spend their time during the survey. In surveys conducted in discrete occasions, maximum likelihood models that allow for mobile activity centres are presented to account for transience, dispersal, and heterogeneous space use. These methods provide an alternative when animal movement causes bias in standard methods and the opportunity to gain richer inference on how animals move, where they spend their time, and how they interact.
APA, Harvard, Vancouver, ISO, and other styles
6

Alexandridis, Roxana Antoanela. "Minimum disparity inference for discrete ranked set sampling data." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1126033164.

Full text
Abstract:
Thesis (Ph. D.)--Ohio State University, 2005.
Title from first page of PDF file. Document formatted into pages; contains xi, 124 p.; also includes graphics. Includes bibliographical references (p. 121-124). Available online via OhioLINK's ETD Center
APA, Harvard, Vancouver, ISO, and other styles
7

Zerbini, Alexandre N. "Improving precision in multiple covariate distance sampling : a case study with whales in Alaska /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/5391.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Miller, David. "On smooth models for complex domains and distances." Thesis, University of Bath, 2012. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.557819.

Full text
Abstract:
Spline smoothing is a popular technique for creating maps of a spatial phenomenon. Most smoothers use the Euclidean metric to measure the distance between data. This approach is flawed since the distances between points in the domain as experienced by the objects within the domain are rarely Euclidean. For example, the movements of animals and people are subject to both physical and political boundaries (respectively) which must be navigated. Measuring distances between the objects using the incorrect (Euclidean) metric leads to incorrect inference. The first part of this thesis develops a finite area smoother which does not su↵er from this problem when the shape of the area is complex. It begins by rejecting the use of the Schwarz-Christo↵el transform as a method for morphing complex domains due to its squashing of space. From there a method based on preserving within-area distances using multidimensional scaling is developed. High dimensional projections of the data are necessary to avoid a loss of ordering in the points. To smooth reliably in high dimensions Duchon splines are used. The model developed rivals the current best finite area method in prediction error terms and fits easily into larger models. Finally, the utility of projection methods to smooth general distances is explored. The second part of the thesis concerns distance sampling, a widely used set of methods for estimating the abundance of biological populations. The work presented here introduces mixture formulation for the detection function used to model the probability of detection. The use of mixture models leads to flexible but monotonic detection functions, avoiding the unrealistic shapes which conventional methods are prone to. These new models are then applied to several existing, problematic data sets.
APA, Harvard, Vancouver, ISO, and other styles
9

Schold, Linnér Elisabeth. "Image processing on optimal volume sampling lattices : Thinking outside the box." Doctoral thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-265340.

Full text
Abstract:
This thesis summarizes a series of studies of how image quality is affected by the choice of sampling pattern in 3D. Our comparison includes the Cartesian cubic (CC) lattice, the body-centered cubic (BCC) lattice, and the face-centered cubic (FCC) lattice. Our studies of the lattice Brillouin zones of lattices of equal density show that, while the CC lattice is suitable for functions with elongated spectra, the FCC lattice offers the least variation in resolution with respect to direction. The BCC lattice, however, offers the highest global cutoff frequency. The difference in behavior between the BCC and FCC lattices is negligible for a natural spectrum. We also present a study of pre-aliasing errors on anisotropic versions of the CC, BCC, and FCC sampling lattices, revealing that the optimal choice of sampling lattice is highly dependent on lattice orientation and anisotropy. We suggest a new reference function for studies of aliasing errors on alternative sampling lattices. This function has a spherical spectrum, and a frequency content proportional to the distance from the origin, facilitating studies of pre-aliasing in spatial domain. The accuracy of anti-aliased Euclidean distance transform is improved by application of more sofisticated methods for computing the sub-spel precision term. We find that both accuracy and precision are higher on the BCC and FCC lattices than on the CC lattice. We compare the performance of several intensity-weighted distance transforms on MRI data, and find that the derived segmentation result, with respect to relative error in segmented volume, depends neither on the sampling lattice, nor on the sampling density. Lastly, we present LatticeLibrary, a open source C++ library for processing of sampled data, supporting a number of common image processing methods for CC, BCC, and FCC lattices. We also introduce BccFccRaycaster, a tool for visualizing data sampled on CC, BCC, and FCC lattices. We believe that the work summarized in this thesis provide both the motivation and the tools for continuing research on application of the BCC and FCC lattices in image processing and analysis.
APA, Harvard, Vancouver, ISO, and other styles
10

Barrett, Michelle L. "Comparison of estimated white-tailed deer (Odocoileus virginianus) population densities during two different seasons in the Miami University Natural Areas." Miami University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=miami1417016979.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Distance sampling"

1

Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. Distance Sampling. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1572-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. Distance Sampling. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1574-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Buckland, S. T., E. A. Rexstad, T. A. Marques, and C. S. Oedekoven. Distance Sampling: Methods and Applications. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19219-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Marcy, Larry E. Distance sampling techniques: Section 6.2.2, US Army Corps of Engineers wildlife resources management manual. [Vicksburg, Miss: U.S. Army Engineer Waterways Experiment Station, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Wesselman, A. M. The population-sample decomposition method: A distribution-free estimation technique for minimum distance parameters. Dordrecht: M. Nijhoff, 1987.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Böhning, Dankmar. On minimizing chi-square distances under the hypothesis of homogeneity of independence for a two-way contingency table. Osnabrück: Fachbereich Psychologie, Universität Osnabrück, 1985.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Buckland, S. T., K. P. Burnham, and D. R. Anderson. Distance Sampling. Springer, 2012.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

T, Buckland S., ed. Advanced distance sampling. Oxford: Oxford University Press, 2004.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Buckland, S. T., E. A. Rexstad, T. A. Marques, and C. S. Oedekoven. Distance Sampling: Methods and Applications. Springer, 2015.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Burnham, Kenneth P., D. R. Anderson, and J. L. Laake. Distance Sampling: Estimating Abundance of Biological Populations. Chapman & Hall, 1993.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Distance sampling"

1

Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Introductory concepts." In Distance Sampling, 1–28. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1572-8_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Assumptions and modelling philosophy." In Distance Sampling, 29–51. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1572-8_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Statistical theory." In Distance Sampling, 52–103. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1572-8_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Line transects." In Distance Sampling, 104–40. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1572-8_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Point transects." In Distance Sampling, 141–72. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1572-8_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Extensions and related work." In Distance Sampling, 173–294. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1572-8_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Study design and field methods." In Distance Sampling, 295–349. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1572-8_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Illustrative examples." In Distance Sampling, 350–414. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1572-8_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Introductory concepts." In Distance Sampling, 1–28. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1574-2_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Assumptions and modelling philosophy." In Distance Sampling, 29–51. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1574-2_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Distance sampling"

1

Pilu, M., and RB Fisher. "Equal-Distance Sampling of Supercllipse Models." In British Machine Vision Conference 1995. British Machine Vision Association, 1995. http://dx.doi.org/10.5244/c.9.26.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Zhou, Xiaofei, and Yong Shi. "Subspace Distance-Based Sampling Method for SVM." In 2010 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2010. http://dx.doi.org/10.1109/icdmw.2010.84.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Kaltenecker, Christian, Alexander Grebhahn, Norbert Siegmund, Jianmei Guo, and Sven Apel. "Distance-Based Sampling of Software Configuration Spaces." In 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE). IEEE, 2019. http://dx.doi.org/10.1109/icse.2019.00112.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Rosell, Jan, Carlos Vazquez, and Alexander Perez. "C-space decomposition using deterministic sampling and distance." In 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2007. http://dx.doi.org/10.1109/iros.2007.4399167.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Jayawant, Ajinkya, and Antonio Ortega. "A Distance-Based Formulation for Sampling Signals on Graphs." In ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2018. http://dx.doi.org/10.1109/icassp.2018.8461725.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Zhang, Jie, and Jianhui Lin. "Random sequence processing under the sampling distance distribution influence." In 2010 3rd International Congress on Image and Signal Processing (CISP). IEEE, 2010. http://dx.doi.org/10.1109/cisp.2010.5647357.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Schuff, Derek L., Milind Kulkarni, and Vijay S. Pai. "Accelerating multicore reuse distance analysis with sampling and parallelization." In the 19th international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1854273.1854286.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Sealy and Novins. "Effective volume sampling of solid models using distance measures." In Proceedings Computer Graphics International CGI-99. IEEE, 1999. http://dx.doi.org/10.1109/cgi.1999.777892.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Venkatesh, C., and K. Shanti Swarup. "Investigating performance of numerical distance relay with higher sampling rate." In 2012 North American Power Symposium (NAPS 2012). IEEE, 2012. http://dx.doi.org/10.1109/naps.2012.6336316.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Yasui, Takeshi, Yoshiyuki Ohgi, Yasuhiro Kabetani, Shuko Yokoyama, and Tsutomu Araki. "Absolute Distance Measurement with Asynchronous-Optical-Sampling Terahertz Impulse Radar." In Conference on Lasers and Electro-Optics. Washington, D.C.: OSA, 2010. http://dx.doi.org/10.1364/cleo.2010.jwb4.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Distance sampling"

1

Caers, Jef, Kwangwon PARK, and Celine SCHEIDT. Distance-Based Sampling of Posterior Distributions in Spatial Inverse Problems. Cogeo@oeaw-giscience, September 2011. http://dx.doi.org/10.5242/iamg.2011.0099.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Green, Nicholas, Mark Wildhaber, and Janice Albers. Effectiveness of a distance sampling from roads program for white-tailed deer in the National Capital Region parks. National Park Service, February 2021. http://dx.doi.org/10.36967/nrr-2284469.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Henk, Jordan. Applications of GIS, Advanced Sensors and Habitat Modeling in Support of Desert Tortoise Line Distance, Sampling and Translocation Studies Related to the Proposed Expansion of the Ft. Irwin NTC. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada498532.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Distance sampling' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography