Maximum likelihood variograms for efficient prediction in precision agriculture

Precision Agriculture 2005, ECPA 2005

Volumn , Issue , 2005, Pages 707-714

  Kerry, R ^a   Oliver, M A ^b  

^a BRIGHAM YOUNG UNIVERSITY   (United States)

^b UNIVERSITY OF READING   (United Kingdom)

Author keywords

Maximum likelihood; Method of moments; Soil mapping; Variogram

Indexed keywords

CROSS VALIDATION; EFFICIENT PREDICTIONS; METHOD OF MOMENTS (MOM); MODEL PARAMETERS; PRECISION AGRICULTURE; SAMPLING SCHEMES; SOIL MAPPING; VARIOGRAMS;

MAXIMUM LIKELIHOOD; METHOD OF MOMENTS;

AGRICULTURE;

EID: 33846230291     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

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2. Kerry, R. and Oliver M. A. 2003. Variograms of ancillary data to aid sampling for soil surveys. Precision Agriculture 4 261-278.
3. Kitanidis, P.K. 1983. Statistical estimation of polynomial generalized covariance functions and hydrologic applications. Water Resources Research 19 909-921.
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6. Pardo-Igúzquiza, E. 1998. Inference of spatial indicator covariance parameters by maximuk likelihood using MLREML. Computers and Geosciences 24 453-464.
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8. Payne, R.W. 2000 (ed.). The guide to GenStat:Part 2, Statistics. VSN International, Oxford, UK.
9. Viscarra-Rossel, R.A. and McBratney, A.B. 1998. Soil chemical analytical accuracy and costs: implications from precision agriculture. Australian Journal of Experimental Agriculture 38 765-775.
10. Webster, R. and Oliver, M.A. 1992. Sample adequately to estimate variograms of soil properties. The Journal of Soil Science 43 177-192.
11. Webster, R. and Oliver, M.A. 2001. Geostatistics for environmental scientists John Wiley & Sons, Ltd., Chichester, UK.