Accurate rainfall data are essential for environmental applications in the actual assessment of geographical distribution rainfall. Interpolation methods usually applied to monitor spatial data. There many interpolation methods, but none them can achieve all cases best results. In this study, three different were investigated with regard their suitability producing a distribution. Rainfall from...

Spatial interpolation methods usually differ in their underlying mathematical concepts. Each has inherent advantages and disadvantages, choosing a method should be based on the type of data to analyzed. This paper, therefore, compares evaluates performances well-established techniques that can used estimate monthly rainfall Thailand. The approaches analyzed include inverse distance weighting (I...

The generation of meteorological surfaces from point-source data is a difficult but necessary step required for modeling ecological and hydrological processes across landscapes. To date, procedures to acquire, transform, and display meteorological information geographically have been specifically tailored to individual studies. Here we offer a flexible, integrated system that employs a relation...

Retrospective studies of disease often are limited by the resolution of the exposure measurements. For example, in a typical study of adverse health effects from contaminated groundwater, the number of wells sampled may range from only a few to as many as several dozen, while the number of cases and controls may be in the hundreds or more. To derive individual estimates of exposure for wells th...

Accurate methods quantifying whole landfill surface flux of methane are important for regulatory and research purposes. This paper presents the results from the analysis of chamber measurements utilizing geospatial techniques [kriging and inverse distance weighting (IDW)] to arrive at an estimation of the whole landfill surface flux from the spatially distributed chamber measurement points. The...

Building a high-precision bathymetry digital elevation model is essential for navigation planning, marine and lake resource port construction, underwater archaeological projects. However, existing methods have yet to be effectively comparatively analyzed. This paper comprehensively reviews state-of-the-art methods, including data acquisition techniques, accuracy, interpolation algorithms terrai...

In this article, we review and compare a number of methods of spatial prediction. To demonstrate the breadth of available choices, we consider both traditional and more-recently-introduced spatial predictors. Specifically, in our exposition we review: traditional stationary kriging, smoothing splines, negative-exponential distance-weighting, Fixed Rank Kriging, modified predictive processes, a ...