Soil scientists traditionally use classification and mapping to partition systematic variability. The range in observed properties is described quantitatively. Descriptions of spatial variability are generally qualitative. This study tests geostatistical parameters, along with the fractal dimension, to quantitatively describe spatial variability. The spatial distribution of two properties; epipedon thickness, and pH at a depth of one meter; was described at three locations each for Herrick silt loam (fine, montmorillonitic, mesic Aquic Argiudolls), and for Yutan silt loam (fine-silty, mixed, mesic Mollic Hapludalfs). Semi-variograms were constructed for each site. Pooled semi-variograms from the combined data for each soil were also constru...
1 Univariate, multivariate, and geostatistical techniques were used to quantify the scale and degree...
Geostatistical theory through the variogram and kriging enables us to obtain information about locat...
Abstract: The main efforts and applications up to now are focused on the spatial variability analysi...
This paper reviews the main applications of geostatistics to the description and modeling of the sp...
The objective of this work it was to use the geostatistics methods to investigate the spatial relati...
A filed experiment was designed to investigate the spatial variability of some soil physical propert...
This thesis treats the impact of soil spatial variability on spatial variability of simulated land q...
Understanding how soil variability changes with spatial scale is critical to our ability to understa...
The study of spatial variability of specific quantities characterizing the unsaturated soil is very ...
Geostatistical analysis of soil properties is undertaken to allow prediction of values of these prop...
The spatial variability of soil particle size distribution and fractal dimension (D) values play imp...
1 Univariate, multivariate, and geostatistical techniques were used to quantify the scale and degree...
Knowledge of spatial variability in chemical and physical properties of the soil is very important, ...
Volumetric core samples and loose soil samples were collected at 1 m interval in 10 m long transects...
Volumetric core samples and loose soil samples were collected at 1 m interval in 10 m long transects...
1 Univariate, multivariate, and geostatistical techniques were used to quantify the scale and degree...
Geostatistical theory through the variogram and kriging enables us to obtain information about locat...
Abstract: The main efforts and applications up to now are focused on the spatial variability analysi...
This paper reviews the main applications of geostatistics to the description and modeling of the sp...
The objective of this work it was to use the geostatistics methods to investigate the spatial relati...
A filed experiment was designed to investigate the spatial variability of some soil physical propert...
This thesis treats the impact of soil spatial variability on spatial variability of simulated land q...
Understanding how soil variability changes with spatial scale is critical to our ability to understa...
The study of spatial variability of specific quantities characterizing the unsaturated soil is very ...
Geostatistical analysis of soil properties is undertaken to allow prediction of values of these prop...
The spatial variability of soil particle size distribution and fractal dimension (D) values play imp...
1 Univariate, multivariate, and geostatistical techniques were used to quantify the scale and degree...
Knowledge of spatial variability in chemical and physical properties of the soil is very important, ...
Volumetric core samples and loose soil samples were collected at 1 m interval in 10 m long transects...
Volumetric core samples and loose soil samples were collected at 1 m interval in 10 m long transects...
1 Univariate, multivariate, and geostatistical techniques were used to quantify the scale and degree...
Geostatistical theory through the variogram and kriging enables us to obtain information about locat...
Abstract: The main efforts and applications up to now are focused on the spatial variability analysi...