Log in

Relevant bibliographies by topics / Conditioned Latin Hypercube Sampling (cLHS) / Journal articles

To see the other types of publications on this topic, follow the link: Conditioned Latin Hypercube Sampling (cLHS).

Journal articles on the topic 'Conditioned Latin Hypercube Sampling (cLHS)'

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 top 22 journal articles for your research 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.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

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

11

Godinho Silva, Sérgio Henrique, Phillip Ray Owens, Bruno Montoani Silva, et al. "Evaluation of Conditioned Latin Hypercube Sampling as a Support for Soil Mapping and Spatial Variability of Soil Properties." Soil Science Society of America Journal 79, no. 2 (2015): 603–11. http://dx.doi.org/10.2136/sssaj2014.07.0299.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Lin, Yu-Pin, Wei-Chih Lin, Meng-Ying Li, Yen-Yu Chen, Li-Chi Chiang, and Yung-Chieh Wang. "Identification of spatial distributions and uncertainties of multiple heavy metal concentrations by using spatial conditioned Latin Hypercube sampling." Geoderma 230-231 (October 2014): 9–21. http://dx.doi.org/10.1016/j.geoderma.2014.03.015.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Ma, Tianwu, Dick J. Brus, A.-Xing Zhu, Lei Zhang, and Thomas Scholten. "Comparison of conditioned Latin hypercube and feature space coverage sampling for predicting soil classes using simulation from soil maps." Geoderma 370 (July 2020): 114366. http://dx.doi.org/10.1016/j.geoderma.2020.114366.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Contreras, Juan, Daniela Ballari, Sytze de Bruin, and Esteban Samaniego. "Rainfall monitoring network design using conditioned Latin hypercube sampling and satellite precipitation estimates: An application in the ungauged Ecuadorian Amazon." International Journal of Climatology 39, no. 4 (2018): 2209–26. http://dx.doi.org/10.1002/joc.5946.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Pahlavan Rad, Mohammad Reza, Norair Toomanian, Farhad Khormali, Colby W. Brungard, Chooghi Bayram Komaki, and Patrick Bogaert. "Updating soil survey maps using random forest and conditioned Latin hypercube sampling in the loess derived soils of northern Iran." Geoderma 232-234 (November 2014): 97–106. http://dx.doi.org/10.1016/j.geoderma.2014.04.036.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Nketia, Kwabena Abrefa, Stephen Boahen Asabere, Stefan Erasmi, and Daniela Sauer. "A new method for selecting sites for soil sampling, coupling global weighted principal component analysis and a cost-constrained conditioned Latin hypercube algorithm." MethodsX 6 (2019): 284–99. http://dx.doi.org/10.1016/j.mex.2019.02.005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Liu, Xinqiang, and Weiliang He. "Airfoil Optimization Design Based on the Pivot Element Weighting Iterative Method." Algorithms 11, no. 10 (2018): 163. http://dx.doi.org/10.3390/a11100163.

Full text

Abstract:

Class function/shape function transformation (CST) is an advanced geometry representation method employed to generate airfoil coordinates. Aiming at the morbidity of the CST coefficient matrix, the pivot element weighting iterative (PEWI) method is proposed to improve the condition number of the ill-conditioned matrix in the CST. The feasibility of the PEWI method is evaluated by using the RAE2822 and S1223 airfoil. The aerodynamic optimization of the S1223 airfoil is conducted based on the Isight software platform. First, the S1223 airfoil is parameterized by the CST with the PEWI method. It

APA, Harvard, Vancouver, ISO, and other styles

18

Castaldi, Fabio, Sabine Chabrillat, and Bas van Wesemael. "Sampling Strategies for Soil Property Mapping Using Multispectral Sentinel-2 and Hyperspectral EnMAP Satellite Data." Remote Sensing 11, no. 3 (2019): 309. http://dx.doi.org/10.3390/rs11030309.

Full text

Abstract:

Designing a sampling strategy for soil property mapping from remote sensing imagery entails making decisions about sampling pattern and number of samples. A consistent number of ancillary data strongly related to the target variable allows applying a sampling strategy that optimally covers the feature space. This study aims at evaluating the capability of multispectral (Sentinel-2) and hyperspectral (EnMAP) satellite data to select the sampling locations in order to collect a calibration dataset for multivariate statistical modelling of the Soil Organic Carbon (SOC) content in the topsoil of c

APA, Harvard, Vancouver, ISO, and other styles

19

Yan, Liang, Xiaojun Duan, Bowen Liu, and Jin Xu. "Bayesian Optimization Based on K-Optimality." Entropy 20, no. 8 (2018): 594. http://dx.doi.org/10.3390/e20080594.

Full text

Abstract:

Bayesian optimization (BO) based on the Gaussian process (GP) surrogate model has attracted extensive attention in the field of optimization and design of experiments (DoE). It usually faces two problems: the unstable GP prediction due to the ill-conditioned Gram matrix of the kernel and the difficulty of determining the trade-off parameter between exploitation and exploration. To solve these problems, we investigate the K-optimality, aiming at minimizing the condition number. Firstly, the Sequentially Bayesian K-optimal design (SBKO) is proposed to ensure the stability of the GP prediction, w

APA, Harvard, Vancouver, ISO, and other styles

20

Neff, P., D. Steineder, B. Stummer, and T. Clemens. "Estimation of Initial Hydrocarbon Saturation Applying Machine Learning Under Petrophysical Uncertainty." SPE Reservoir Evaluation & Engineering 24, no. 02 (2021): 325–40. http://dx.doi.org/10.2118/203384-pa.

Full text

Abstract:

Summary The initial hydrocarbon saturation has a major effect on field-development planning and resource estimation. However, the bases of the initial hydrocarbon saturation are indirect measurements from spatially distributed wells applying saturation-height modeling using uncertain parameters. Because of the multitude of parameters, applying assisted-matching methods requires trade-offs regarding the quality of objective functions used for the various observed data. Applying machine learning (ML) in a Bayesian framework helps overcome these challenges. In the present study, the methodology i

APA, Harvard, Vancouver, ISO, and other styles

21

Gu, Zewen, Xiaonan Hou, and Jianqiao Ye. "Design and analysis method of nonlinear helical springs using a combining technique: Finite element analysis, constrained Latin hypercube sampling and genetic programming." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, April 28, 2021, 095440622110102. http://dx.doi.org/10.1177/09544062211010210.

Full text

Abstract:

Helical springs have been widely used in various engineering applications for centuries. For many years, there is no significant development in the design methods of helical springs. Recently, a renewed interest is raised from the industry in exploring new designs for the helical springs with novel configurations due to the requirements of customised properties, such as specific spring stiffness and natural frequency for better performance of valve train systems. In this paper, an innovative method which combines the techniques of Finite Element Analysis (FEA), constrained Latin Hypercube samp

APA, Harvard, Vancouver, ISO, and other styles

22

Moura-Bueno, Jean Michel, Ricardo Simão Diniz Dalmolin, Taciara Zborowski Horst-Heinen, et al. "Prediction of soil classes in a complex landscape in Southern Brazil." Pesquisa Agropecuária Brasileira 54 (2019). http://dx.doi.org/10.1590/s1678-3921.pab2019.v54.00420.

Full text

Abstract:

Abstract: The objective of this work was to evaluate the use of covariate selection by expert knowledge on the performance of soil class predictive models in a complex landscape, in order to identify the best predictive model for digital soil mapping in the Southern region of Brazil. A total of 164 points were sampled in the field using the conditioned Latin hypercube, considering the covariates elevation, slope, and aspect. From the digital elevation model, environmental covariates were extracted, composing three sets, made up of: 21 covariates, covariates after the exclusion of the multicoll

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!