Modern soil mapping is characterised by the need to interpolate point referenced (geostatistical) observations and the availability of large numbers of environmental characteristics for consideration as covariates to aid this interpolation. Modelling tasks of this nature also occur in other fields such as biogeography and environmental science. This analysis employs the Least Angle Regression (...

The work deals with development and application of Radial basis functions neural networks (RBFNN) for spatial predictions. Geostatistical tools for spatial correlation analysis (variography) are used to qualify and quantify the estimation results. Geostatistical analysis is performed on the residuals obtained at the training and test sample locations. Variogram of residuals explores spatial cor...

The nitrogen dioxide is a primary pollutant, regarded for the estimation of the air quality index, whose excessive presence may cause significant environmental and health problems. In the current work, we suggest characterizing the evolution of NO2 levels, by using geostatistical approaches that deal with both the space and time coordinates. To develop our proposal, a first exploratory analysis...

Hybrid geostatistical models aim at mimicking depositional events. The resulting models have the capability to simulate realistic stratigraphic structures for a variety of environments. However, this family of algorithms requires a high degree of parameterization. Therefore, having a good knowledge of the model parameters sensitivity is vital for understanding the behavior of such models. In th...

Mapping data using geostatistics can be a time-consuming process because of the many parameters to define. automap, a geostatistical package written in R, was developed to define automatically a spatial correlation model, a step that is considered to be the biggest obstacle for automating the spatial interpolation process with geostatistical algorithms. The implementation of automap into a Serv...

OBJECTIVE To predict the spatial distributions of Schistosoma haematobium and S. mansoni infections to assist planning the implementation of mass distribution of praziquantel as part of an on-going national control programme in Tanzania. METHODS Bayesian geostatistical models were developed using parasitological data from 143 schools. RESULTS In the S. haematobium models, although land surf...