This paper discusses the accuracy of spatial data estimated by areal interpolation. A stochastic model is proposed which represents areal interpolations in diverse geographic situations. The model is used to examine the relationship between estimation accuracy and the spatial distribution of estimation error from a theoretical viewpoint. The analysis shows that the uniformity in error distribut...

Four spatial estimation techniques available in commercial computational packages are evaluated and compared, namely: regularized splines interpolation, tension splines interpolation, inverse distance weighted interpolation, and ordinary Kriging estimation, in order to establish the best representation for the shallow stratigraphic configuration in the city of Aguascalientes, in Central Mexico....

Production of high quality interpolation maps of heavy metals is important for risk assessment of environmental pollution. In this paper, the spatial correlation characteristics information obtained from Moran's I analysis was used to supplement the traditional geostatistics. According to Moran's I analysis, four characteristics distances were obtained and used as the active lag distance to cal...

As the core of digital elevation model, interpolation methods have been run through the each link, such as production, quality control, accuracy assessment, analytical applications and etc. The local radial basis function interpolation method based on spatial relationship of natural neighbor was proposed in this paper. The interpolation reference points were chosen by the Delaunay Triangulation...

INTAMAP is a Web Processing Service for the automatic spatial interpolation of measured point data. Requirements were (i) using open standards for spatial data such as developed in the context of the Open Geospatial Consortium (OGC), (ii) using a suitable environment for statistical modelling and computation, and (iii) producing an integrated, open source solution. The system couples an opensou...

groundwater aquifers are an important source of water supply for agriculture, industry and drinking. the present study investigates the changes in the quality of groundwater using geostatistical methods in the ravar plain during a 10-year period. in this study, after selecting the appropriate spatial interpolation method to draw water quality parameters such as tds, sar and ec, zoning maps of r...

Super-resolution mapping (SRM) is a method to produce a fine spatial resolution land cover map from coarse spatial resolution remotely sensed imagery. A popular approach for SRM is a two-step algorithm, which first increases the spatial resolution of coarse fraction images by interpolation, and then determines class labels of fine resolution pixels using the maximum a posteriori (MAP) principle...

Wireless sensor networks (WSNs) being an assembly of hundreds or thousands of sensor nodes, each with sensing (temperature, humidity, sound level, light intensity, magnetism, etc.) and wireless communication capabilities, provide vast opportunities for monitoring and mathematical modeling the spatial information about a region of interest. Starting from the measurements collected by sensor node...

Today, there exists a growing number of publicly available HRTF datasets, with each set often proposing a unique variation on the spatial discretization measurement grid. These various grids, typically determined by the mechanical system employed, result in datasets which are not directly comparable or exploitable. To alleviate the limitation of incompatible grids and assist in the adaptation o...

Groundwater aquifers are an important source of water supply for agriculture, industry and drinking. The present study investigates the changes in the quality of groundwater using geostatistical methods in the Ravar plain during a 10-year period. In this study, after selecting the appropriate spatial interpolation method to draw water quality parameters such as TDS, SAR and EC, zoning maps of R...