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...

Increases in the availability of reliable health data are widely recognised as essential for efforts to strengthen health-care systems in resource-poor settings worldwide. Effective health-system planning requires comprehensive and up-to-date information on a range of health metrics and this requirement is generally addressed by a Health Management Information System (HMIS) that coordinates the...

We seek to elicit individual design preferences through usercomputer interaction. During an iteration of the interactive session, the computer presents a set of designs to the user who then picks any preferred designs from the set. The computer learns from this feedback and creates the next set of designs using its accumulated knowledge to minimize a merit function. Under the hypothesis that us...