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...

Kriging is an advanced geostatistical procedure that generates an estimated surface or 3D model from a scattered set of points. This method can be used for estimating resources using a grid of sampled boreholes. However, conventional ordinary kriging (OK) is unable to take locally varying anisotropy (LVA) into account. A numerical approach has been presented that generates an LVA field by calcu...

Ordinary kriging is the most widely used method. It serves to estimate a value at point of region for which variogram known, using data in neighborhood estimation location. can also be block value. With local second-order stationarity, ordinary implicitly evaluates mean moving neighborhood. To see this, first set up, then simple estimator this kriged examined.
 The objective study was dete...

This study combines Ordinary Kriging, odor monitoring, and wind direction data to demonstrate how these elements can be applied to identify the source of an industrial odor. The specific case study used as an example of how to address this issue was the University Park neighborhood of Portland, Oregon (USA) where residents frequently complain about industrial odors, and suspect the main source ...

HIGHLIGHTS Tibraca limbativentris is one of the main pests on rice crops. Its spatial distribution pattern can be studied using a geostatistical approach. There was variation in T. structure according to phenology. The ordinary kriging interpolator performed better predicting its populations.

In studies of irrigation and drainage projects for drainage, it is necessary to extend the data from the sampling point to the network. Therefore, based on available data from observational wells, estimating the state of hydraulic conductivity (K) in the surrounding area. The estimation process values for locations where there is no information for them based on viewing areas called wells spati...

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...

The aim of this study is to determine the area affected by dust storms in different wind speeds using satelliteimages. In the first step, windy conditions of the Sistan plain were analyzed using wind statistics data. Next, fivestormy days of Zabol city, indicating different wind speeds and horizontal visibilities during those storms, wereselected. Then, high temporal resolution MODIS data was u...

The spatial variability of soil organic carbon (SOC) and total nitrogen (STN) levels is important in both global carbon-nitrogen cycle and climate change research. There has been little research on the spatial distribution of SOC and STN at the watershed scale based on geographic information systems (GIS) and geostatistics. Ninety-seven soil samples taken at depths of 0-20 cm were collected dur...