Academic literature on the topic 'Conditioned Latin Hypercube Sampling (cLHS)'

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 'Conditioned Latin Hypercube Sampling (cLHS).'

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 "Conditioned Latin Hypercube Sampling (cLHS)"

1

Malone, Brendan P., Budiman Minansy, and Colby Brungard. "Some methods to improve the utility of conditioned Latin hypercube sampling." PeerJ 7 (February 25, 2019): e6451. http://dx.doi.org/10.7717/peerj.6451.

Full text
Abstract:
The conditioned Latin hypercube sampling (cLHS) algorithm is popularly used for planning field sampling surveys in order to understand the spatial behavior of natural phenomena such as soils. This technical note collates, summarizes, and extends existing solutions to problems that field scientists face when using cLHS. These problems include optimizing the sample size, re-locating sites when an original site is deemed inaccessible, and how to account for existing sample data, so that under-sampled areas can be prioritized for sampling. These solutions, which we also share as individual R scrip
APA, Harvard, Vancouver, ISO, and other styles
2

Ng, Wartini, Budiman Minasny, Brendan Malone, and Patrick Filippi. "In search of an optimum sampling algorithm for prediction of soil properties from infrared spectra." PeerJ 6 (October 3, 2018): e5722. http://dx.doi.org/10.7717/peerj.5722.

Full text
Abstract:
Background The use of visible-near infrared (vis-NIR) spectroscopy for rapid soil characterisation has gained a lot of interest in recent times. Soil spectra absorbance from the visible-infrared range can be calibrated using regression models to predict a set of soil properties. The accuracy of these regression models relies heavily on the calibration set. The optimum sample size and the overall sample representativeness of the dataset could further improve the model performance. However, there is no guideline on which sampling method should be used under different size of datasets. Methods He
APA, Harvard, Vancouver, ISO, and other styles
3

Holleran, M., M. Levi, and C. Rasmussen. "Quantifying soil and critical zone variability in a forested catchment through digital soil mapping." SOIL 1, no. 1 (2015): 47–64. http://dx.doi.org/10.5194/soil-1-47-2015.

Full text
Abstract:
Abstract. Quantifying catchment-scale soil property variation yields insights into critical zone evolution and function. The objective of this study was to quantify and predict the spatial distribution of soil properties within a high-elevation forested catchment in southern Arizona, USA, using a combined set of digital soil mapping (DSM) and sampling design techniques to quantify catchment-scale soil spatial variability that would inform interpretation of soil-forming processes. The study focused on a 6 ha catchment on granitic parent materials under mixed-conifer forest, with a mean elevatio
APA, Harvard, Vancouver, ISO, and other styles
4

Holleran, M., M. Levi, and C. Rasmussen. "Quantifying soil and critical zone variability in a forested catchment through digital soil mapping." SOIL Discussions 1, no. 1 (2014): 1–49. http://dx.doi.org/10.5194/soild-1-1-2014.

Full text
Abstract:
Abstract. Quantifying catchment scale soil property variation yields insights into critical zone evolution and function. The objective of this study was to quantify and predict the spatial distribution of soil properties within a high elevation forested catchment in southern AZ, USA using a combined set of digital soil mapping (DSM) and sampling design techniques to quantify catchment scale soil spatial variability. The study focused on a 6 ha catchment on granitic parent materials under mixed-conifer forest, with a mean elevation of 2400 m a.s.l., mean annual temperature of 10 °C and mean ann
APA, Harvard, Vancouver, ISO, and other styles
5

Rossel, R. A. Viscarra, Y. S. Jeon, I. O. A. Odeh, and A. B. McBratney. "Using a legacy soil sample to develop a mid-IR spectral library." Soil Research 46, no. 1 (2008): 1. http://dx.doi.org/10.1071/sr07099.

Full text
Abstract:
This paper describes the development of a diffuse reflectance spectral library from a legacy soil sample. When developing a soil spectral library, it is important to consider the number of samples that are needed to adequately describe the soil variability in the region in which the library is to be used; the manner in which the soil is sampled, handled, prepared, stored, and scanned; and the reference analytical procedures used. As with any type of modelling, the dictum is ‘garbage in = garbage out’ and hopefully the converse ‘quality in = quality out’. The aims of this paper are to: (i) deve
APA, Harvard, Vancouver, ISO, and other styles
6

Gholizadeh, Asa, Mohammadmehdi Saberioon, Nimrod Carmon, Lubos Boruvka, and Eyal Ben-Dor. "Examining the Performance of PARACUDA-II Data-Mining Engine versus Selected Techniques to Model Soil Carbon from Reflectance Spectra." Remote Sensing 10, no. 8 (2018): 1172. http://dx.doi.org/10.3390/rs10081172.

Full text
Abstract:
The monitoring and quantification of soil carbon provide a better understanding of soil and atmosphere dynamics. Visible-near-infrared-short-wave infrared (VIS-NIR-SWIR) reflectance spectroscopy can quantitatively estimate soil carbon content more rapidly and cost-effectively compared to traditional laboratory analysis. However, effective estimation of soil carbon using reflectance spectroscopy to a great extent depends on the selection of a suitable preprocessing sequence and data-mining algorithm. Many efforts have been dedicated to the comparison of conventional chemometric techniques and t
APA, Harvard, Vancouver, ISO, and other styles
7

Gao, Bingbo, Yuchun Pan, Ziyue Chen, Fang Wu, Xuhong Ren, and Maogui Hu. "A Spatial Conditioned Latin Hypercube Sampling Method for Mapping Using Ancillary Data." Transactions in GIS 20, no. 5 (2016): 735–54. http://dx.doi.org/10.1111/tgis.12176.

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

Minasny, Budiman, and Alex B. McBratney. "A conditioned Latin hypercube method for sampling in the presence of ancillary information." Computers & Geosciences 32, no. 9 (2006): 1378–88. http://dx.doi.org/10.1016/j.cageo.2005.12.009.

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

Yang, Lin, Xinming Li, Jingjing Shi, et al. "Evaluation of conditioned Latin hypercube sampling for soil mapping based on a machine learning method." Geoderma 369 (June 2020): 114337. http://dx.doi.org/10.1016/j.geoderma.2020.114337.

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

Chu, Hone-Jay, Yu-Pin Lin, Cheng-Shin Jang, and Tsun-Kuo Chang. "Delineating the hazard zone of multiple soil pollutants by multivariate indicator kriging and conditioned Latin hypercube sampling." Geoderma 158, no. 3-4 (2010): 242–51. http://dx.doi.org/10.1016/j.geoderma.2010.05.003.

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

Dissertations / Theses on the topic "Conditioned Latin Hypercube Sampling (cLHS)"

1

Brungard, Colby W. "Alternative Sampling and Analysis Methods for Digital Soil Mapping in Southwestern Utah." DigitalCommons@USU, 2009. http://digitalcommons.usu.edu/etd/472.

Full text
Abstract:
Digital soil mapping (DSM) relies on quantitative relationships between easily measured environmental covariates and field and laboratory data. We applied innovative sampling and inference techniques to predict the distribution of soil attributes, taxonomic classes, and dominant vegetation across a 30,000-ha complex Great Basin landscape in southwestern Utah. This arid rangeland was characterized by rugged topography, diverse vegetation, and intricate geology. Environmental covariates calculated from digital elevation models (DEM) and spectral satellite data were used to represent factors cont
APA, Harvard, Vancouver, ISO, and other styles
2

Huang, Yu-Long, and 黃裕龍. "Conditioned Latin hypercube sampling in heavy metal sampling and spatial distribution simulation." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/57227730891712490488.

Full text
Abstract:
碩士<br>臺灣大學<br>生物環境系統工程學研究所<br>98<br>Conditioned Latin hypercube sampling is a sampling method using heuristic algorithm to find out the data in the incumbent data space which conjoint the eigenspace of Latin hypercube sampling. Latin hypercube (LHS) is a stratified random sampling approach which can proceed the sampling technique with the original distribution. The research aims to resample the heavy metal in soil at Chang-Hua County by conditioned Latin hypercube sampling (LHS) technique, and with expectation to diminish the sampling number to lower the cost of laboratorial analysis for cuppe
APA, Harvard, Vancouver, ISO, and other styles
3

Chen, Yen-Yu, and 陳彥佑. "Applying conditioned Latin hypercube sampling combined with stratifications in initial soil sampling of heavy metals." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/12852683575950842950.

Full text
Abstract:
碩士<br>國立臺灣大學<br>生物環境系統工程學研究所<br>100<br>Soil pollution of heavy metals is one of the most important environment issues, and it is necessary to monitor and proceed remediation for contaminated area duo to the serious impact of heavy metal pollution to the environment and public health concerns. An efficient sampling strategy is needed to know the correct spatial distribution of soil pollutants to delineate the contaminated area, and reduce the follow-up sampling points to decrease the remediation costs. Conditioned Latin Hypercube Sampling (cLHS) is a sampling method using search algorithm based
APA, Harvard, Vancouver, ISO, and other styles
4

(8300103), Shams R. Rahmani. "Digital Soil Mapping of the Purdue Agronomy Center for Research and Education." Thesis, 2020.

Find full text
Abstract:
This research work concentrate on developing digital soil maps to support field based plant phenotyping research. We have developed soil organic matter content (OM), cation exchange capacity (CEC), natural soil drainage class, and tile drainage line maps using topographic indices and aerial imagery. Various prediction models (universal kriging, cubist, random forest, C5.0, artificial neural network, and multinomial logistic regression) were used to estimate the soil properties of interest.
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Conditioned Latin Hypercube Sampling (cLHS)"

1

Minasny, B., and A. B. McBratney. "Conditioned Latin Hypercube Sampling for Calibrating Soil Sensor Data to Soil Properties." In Proximal Soil Sensing. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8859-8_9.

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

Brungard, C. W., and J. L. Boettinger. "Conditioned Latin Hypercube Sampling: Optimal Sample Size for Digital Soil Mapping of Arid Rangelands in Utah, USA." In Digital Soil Mapping. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8863-5_6.

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

Roudier, Pierre, Allan Hewitt, and Dylan Beaudette. "A conditioned Latin hypercube sampling algorithm incorporating operational constraints." In Digital Soil Assessments and Beyond. CRC Press, 2012. http://dx.doi.org/10.1201/b12728-46.

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