The presented paper describes the geostatistical analysis of PSInSAR data. This analysis was preceded by short description of PSInSAR technique. The geostatistical computations showed in this article were performed with the R open-source software containing the gstat package. The analysis contains variograms computing (directional variograms) and ordinary kriging interpolation. The computationa...

OBJECTIVE There is evidence of substantial subnational variation in the HIV epidemic. However, robust spatial HIV data are often only available at high levels of geographic aggregation and not at the finer resolution needed for decision making. Therefore, spatial analysis methods that leverage available data to provide local estimates of HIV prevalence may be useful. Such methods exist but have...

Separation of geochemical anomalies from background has always been a major concern of exploration geochemistry. The search for methods that can make this analysis quantitative and objective aims not only at the reduction of subjectiveness but also at providing an automatic routine in exploration, assisting the interpretation and production of geochemical maps. This report discusses two methodo...

Analyzing massive spatial datasets using a Gaussian process model poses computational challenges. This is problem prevailing heavily in applications such as environmental modeling, ecology, forestry and health. We present novel approximate inference methodology that uses profile likelihood Krylov subspace methods to estimate the covariance parameters makes predictions with uncertainty quantific...

Raster based digital elevation models (DEM) are the basis of some of the most important GIS workflows: hydrologic modeling, site suitability, and cost path analysis. While there are several techniques for generating digital elevation models (DEMs), none of them can produce a true elevation surface. Locally varying measurement error and the inexactness of the interpolation methods contribute to ...

introduction rainfall erosivity, the propulsion or power of causing erosion in separation and transport of soil particles, is in relation to water erosion. rainfall erosion is causing loss of soil, damage to agriculture and infrastructures which is followed by water pollution. changes in rainfall patterns exacerbate risk of erosion globally. rainfall erosivity plays an effective role in soil er...

We consider the problem of model selection for geospatial data. Spatial correlation is often ignored in the selection of explanatory variables, and this can influence model selection results. For example, the importance of particular explanatory variables may not be apparent when spatial correlation is ignored. To address this problem, we consider the Akaike Information Criterion (AIC) as appli...