A comparison of a traditional geostatistical regression approach and a general Gaussian process approach for spatial prediction

Stat

Volumn 3, Issue 1, 2014, Pages 228-239

  Leung, Stanley ^a,b   Cooley, Daniel ^a  

^a Veterinary Dentistry and Oral Surgery   (United States)

^b WESTERN OREGON UNIVERSITY   (United States)

Author keywords

Kriging; Machine learning; Non stationary spatial models; Soil moisture

Indexed keywords

EID: 84942321589     PISSN: None     EISSN: 20491573     Source Type: Journal    
DOI: 10.1002/sta4.57     Document Type: Article

References (16)

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