Geostatistical techniques have gained widespread use in ecology and environmental science. Variograms are commonly used to describe and examine spatial autocorrelation, and kriging has become the method of choice for interpolating spatially-autocorrelated variables. To date, most applications of geostatistics have defined the separation between sample points using simple Euclidean distance. In ...

Integrated transport, land-use and air quality monitoring are prioritized especially in metropolitan areas. The complexity is straight forward, since data, indicators, variables, methods and approaches vary and isolated. The Spatial Information Sciences (SIS) provides mature solutions for data and policy integration, since the nature of problem is specific to geo-spatial distribution. The inter...

The management of soil organic matter (SOM) is fundamental in agriculture for conservation and crop yields. However, addition the being dynamics, it heterogeneous, therefore, understanding spatial variability SOM essential. main objective this study was to evaluate a cassava cultivation under different management, seeking classify its dependence by geostatistics. A filed experiment conducted ou...