Academic literature on the topic 'Conditioned Latin Hypercube Sampling (cLHS)'
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Journal articles on the topic "Conditioned Latin Hypercube Sampling (cLHS)"
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 textNg, 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 textHolleran, 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 textHolleran, 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 textRossel, 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 textGholizadeh, 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 textGao, 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 textMinasny, 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 textYang, 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 textChu, 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 textDissertations / Theses on the topic "Conditioned Latin Hypercube Sampling (cLHS)"
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 textHuang, 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 textChen, 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(8300103), Shams R. Rahmani. "Digital Soil Mapping of the Purdue Agronomy Center for Research and Education." Thesis, 2020.
Find full textBook chapters on the topic "Conditioned Latin Hypercube Sampling (cLHS)"
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 textBrungard, 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 textRoudier, 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.
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