Can the spatial prediction of soil organic matter contents at various sampling scales be improved by using regression kriging with auxiliary information?

Geoderma

Volumn 159, Issue 1-2, 2010, Pages 63-75

  Li, Yong ^a,b  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Environmental correlation; Logit transformation; Minimum sampling distance; Sampling density; Soil organic matter content; Spatial interpolation

Indexed keywords

ENVIRONMENTAL CORRELATIONS; LOGIT TRANSFORMATION; MINIMUM SAMPLING DISTANCE; SAMPLING DENSITY; SOIL ORGANIC MATTER CONTENT; SPATIAL INTERPOLATION;

BIOGEOCHEMISTRY; BIOLOGICAL MATERIALS; CAPACITANCE; FORECASTING; FORESTRY; GEOLOGIC MODELS; METAL ANALYSIS; ORGANIC COMPOUNDS; REGRESSION ANALYSIS; REMOTE SENSING; SOILS; VEGETATION;

INTERPOLATION;

ACCURACY ASSESSMENT; AREAL INTERPOLATION; CORRELATION; DATA QUALITY; ENVIRONMENTAL ASSESSMENT; KRIGING; LANDSAT THEMATIC MAPPER; LOGIT ANALYSIS; REGRESSION ANALYSIS; REMOTE SENSING; SAMPLING; SATELLITE DATA; SOIL ORGANIC MATTER; SPATIAL PLANNING; SPATIAL RESOLUTION; TOPOGRAPHIC MAPPING;

EID: 77956879777     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2010.06.017     Document Type: Article

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