The concept of spatial interpolation is important in the soil sciences. However, the use of a single global interpolation model is often limited by certain conditions (e.g., terrain complexity), which leads to distorted interpolation results. Here we present a method of adaptive weighting combined environmental variables for soil properties interpolation (AW-SP) to improve accuracy. Using vario...

In this study, the weighted distance method, which combines the cumulative sum method and the inverse distance, is devised for monitoring spatial patterns of point events around fixed points. It is found the weighted-distance approach can better reveal the cluster scale and is less subject to observations far away from the monitor site than the distance-based method developed by Rogerson and Su...

When studying river hydrodynamics and water quality evolution laws on the basis of numerical simulation analysis, it is necessary to carry out topographic interpolation along bend direction measured section, as this can provide accurate reliable data for modeling. In paper, a two-step terrain method based sparse discrete sections proposed by comprehensively considering trends lack monitoring se...

Global solar broadband irradiance on a planar surface is measured at weather stations by pyranometers. In the case of the present research, solar radiation values from nine meteorological stations of the MeteoGalicia real-time observational network, captured and stored every ten minutes, are considered. In this kind of record, the lack of data and/or the presence of wrong values adversely affec...

Appropriate spatiotemporal interpolation is critical to the assessment of relationships between environmental exposures and health outcomes. A powerful assessment of human exposure to environmental agents would incorporate spatial and temporal dimensions simultaneously. This paper compares shape function (SF)-based and inverse distance weighting (IDW)-based spatiotemporal interpolation methods ...

Abstract In the sense of challenging economic situation, it is difficult to perform laboratory tests in a whole intended area define soil characteristics for whatever task or situation within an entire city. Hence, this study has used spatial analysis through applying inverse distance weighted (IDW) technique integrate with available data 56 different samples collected from various depths Kirku...

The present paper suggests fuel consumption modeling for HDVs based on the code from the Japanese Ministry of the Environment. Two interpolation models (inversed distance weighted (IDW) and Hermite) and three types of fuel efficiency maps (coarse, medium, and dense) were adopted to determine the most appropriate combination for further studies. Finally, sensitivity analysis studies were conduct...

High-precision rainfall information is of great importance for the improvement accuracy numerical weather prediction and monitoring floods mudslides that affect human life. With rapid development satellite constellation networks, there potential reconstructing high-precision fields in large areas by using widely distributed Earth–space link (ESL) networks. In this paper, we have carried out res...

[1] Inverse weighted distance and regression nonexact techniques were evaluated for interpolating methods snow water equivalent (SWE) across the entire Colorado River Basin of the western United States. A 1-km spacing was used for the gridding of snow telemetry (SNOTEL) measurements for the years 1993, 1998, and 1999, which on average, represented higher than average, average, and lower than av...

The encroachment of agricultural landscapes on natural ecosystems poses a significant threat to native wildlife persistence. In the Boland Mountain Complex (BMC), presence mammals was well documented in 20th century, but an updated account is lacking. This study relied Local Ecological Knowledge (LEK) elucidate perceived medium- large-sized (>300 g) mammal occurrences, distribution ranges, and ...