Abstract Although intra-site spatial approaches are considered a key factor when interpreting archaeological assemblages, these often based on descriptive, qualitative, and subjective observations. Currently, within the framework of research into taphonomy palimpsest dissection, several studies have begun to employ more quantitative objective techniques, implementing tools such as geostatistics...

In this paper we introduce the use of multiple-point geostatistics in hydrogeology. Multiple-point geostatistical algorithms allow the generation of stochastic models reproducing more realistically geological shapes and connectivities as compared to more traditional variogram-based techniques. Multiple-point geostatistics relies on the concept of 3-dimensional training images from which higher ...

Analyses of spatial variation in disease risk based on area-level summaries of disease counts are most often based on the assumption that the relative risk is uniform across each region. Such approaches introduce an artificial piecewise-constant relative risk-surface with discontinuities at regional boundaries. A more natural approach is to assume that the spatial variation in risk can be repre...

Abstract. We present a Bayesian geostatistical model for mean annual runoff that incorporates simulations from process-based hydrological model. The are treated as covariate and the regression coefficient is modeled spatial field. This way relationship between (simulations model) response variable (observed runoff) can vary in study area. A preprocessing step including short records modeling al...

Traditional geostatistical space-time geostatistics is not able to take account of the generally strongly non-linear dynamics of multivariate space-time processes. To this effect physico-chemical transport models are in general more suitable. However, as the latter do not fully master the complexity of the processes they attempt to describe, either because of simplifying hypotheses or because t...

Spatial data analysis focuses on both attribute and locational information. Local analyses deal with differences across space whereas global analyses deal with similarities across space. This paper addresses an experimental comparative study to analyse the spatial data by some weighted local regression models. Five local regression models have been developed and their estimation capacities have...

The aim of this work is to investigate how the spatial variability of soil properties and soil erodibility (K factor) were affected by the changes in land use allowed by irrigation with water from a reservoir in a semiarid area. To this end, three areas representative of different land uses (agroforestry grassland, lucerne crop and olive orchard) were studied within a 900 ha farm. The interrela...