<div><p>ABSTRACT Spatial variability depends on the sampling configuration and characteristics associated with the georeferenced phenomenon, such as geometric anisotropy. This study aimed to determine the influence of the sampling design on parameter estimation in an anisotropic geostatistical model and the spatial estimation of a georeferenced variable at unsampled locations. Datasets were simulated with geometric anisotropy, considering five values for the anisotropic ratio (1, 2, 3, 4, 5), and three sampling designs: lattice, random and lattice plus close pairs. The simulation results were used as a reference to select anisotropic models to describe the spatial dependence structure in chemical soil properties. For each dataset (with eith...
Data interpolation is widely required in precision agriculture. However, its effectiveness is a func...
Soils with small variations in relief and under the same management system present differentiated sp...
ABSTRACT Data interpolation is widely required in precision agriculture. However, its effectiveness ...
The study on spatial variability of soil properties performed through geostatistical techniques all...
ABSTRACT In the study of spatial variability of soil attributes, it is essential to define a samplin...
The sampling scheme is essential in the investigation of the spatial variability of soil properties ...
The efficiency of soil sampling strategies can be increased by incorporating a spatial variation mod...
This study aimed to analyze the influence of different sampling grids in determining the spatial var...
The efficiency of soil sampling strategies can be increased by incorporating a spatial variation mod...
Evaluating soil spatial variability through sampling is an important step in precision farming proce...
This paper reviews the main applications of geostatistics to the description and modeling of the sp...
Spatial structure analysis has been identified to be a useful tool in illustrating the spatial patte...
Geostatistical theory through the variogram and kriging enables us to obtain information about locat...
Semivariograms are used to quantitatively assess spatial variability of depth to mottles, depth to g...
The objective of this work it was to use the geostatistics methods to investigate the spatial relati...
Data interpolation is widely required in precision agriculture. However, its effectiveness is a func...
Soils with small variations in relief and under the same management system present differentiated sp...
ABSTRACT Data interpolation is widely required in precision agriculture. However, its effectiveness ...
The study on spatial variability of soil properties performed through geostatistical techniques all...
ABSTRACT In the study of spatial variability of soil attributes, it is essential to define a samplin...
The sampling scheme is essential in the investigation of the spatial variability of soil properties ...
The efficiency of soil sampling strategies can be increased by incorporating a spatial variation mod...
This study aimed to analyze the influence of different sampling grids in determining the spatial var...
The efficiency of soil sampling strategies can be increased by incorporating a spatial variation mod...
Evaluating soil spatial variability through sampling is an important step in precision farming proce...
This paper reviews the main applications of geostatistics to the description and modeling of the sp...
Spatial structure analysis has been identified to be a useful tool in illustrating the spatial patte...
Geostatistical theory through the variogram and kriging enables us to obtain information about locat...
Semivariograms are used to quantitatively assess spatial variability of depth to mottles, depth to g...
The objective of this work it was to use the geostatistics methods to investigate the spatial relati...
Data interpolation is widely required in precision agriculture. However, its effectiveness is a func...
Soils with small variations in relief and under the same management system present differentiated sp...
ABSTRACT Data interpolation is widely required in precision agriculture. However, its effectiveness ...