One important method to obtain the continuous surfaces of soil properties from point samples is spatial interpolation. In this paper, we propose a method that combines ensemble learning with ancillary environmental information for improved interpolation of soil properties (hereafter, EL-SP). First, we calculated the trend value for soil potassium contents at the Qinghai Lake region in China bas...

Different methods are known for interpolating spatial data. Introduced a few years ago, the initial version of Most Probable Precipitation Method (MPPM) proved to be valuable competitor against Thiessen Polygons Method, Inverse Distance Weighting and kriging estimating regional trend precipitation series. Climate Analyzer, introduced here, is user-friendly toolkit written in Matlab, which imple...

Several georeferenced measurements of electric field were done in a pilot area of Caracas, Venezuela, to verify that the magnitude of radio frequency electromagnetic fields is below the human exposure limits, recommended by the International Commission on Non-Ionizing Radiation Protection. The collected data were analyzed using geographical information systems, with the objective of using inter...

Based on the geo-statistical theory and ArcGIS geo-statistical module, datas of 30 groundwater level observation wells were used to estimate the decline of groundwater level in Beijing piedmont. Seven different interpolation methods (inverse distance weighted interpolation, global polynomial interpolation, local polynomial interpolation, tension spline interpolation, ordinary Kriging interpolat...

This paper presents three multivariate geostatistical algorithms for incorporating a digital elevation model into the spatial prediction of rainfall: simple kriging with varying local means; kriging with an external drift; and colocated cokriging. The techniques are illustrated using annual and monthly rainfall observations measured at 36 climatic stations in a 5000 km region of Portugal. Cross...

In this paper, we implement and compare the accuracy of ordinary kriging, lognormal ordinary kriging, inverse distance weighting (IDW) and splines for interpolating seasonally stable soil properties (pH, electric conductivity and organic matter) that have been demonstrated to affect yield production. The choice of the exponent value for IDW and splines as well as the number of the closest neigh...

The accuracy of the Digital Elevation Models (DEMs) interpolated using four different methods was compared in two small watersheds in the Ecuadorian Andes. The interpolation methods compared were Inverse Distance Weighted, radial basis functions, ordinary Kriging, and TOPOGRID. A qualitative comparison was made between the stream network modeled in Arc Hydro and the digitized stream network. Mo...

Abstract. Global warming and changes in Earth’s weather patterns are the main consequences of climate change, bioclimate discomfort has significant public health problems, especially for elderly. Normally, thermal characteristics urban areas poor due to a phenomenon known as heat island. Mobile fixed temperature measurements were performed on 19 March 2021 city Bologna, Italy. took place with c...