A variety of methods have been used to make evolutionary inferences based on the spatial distribution of biological data, including reconstructing population history and detection of the geographic pattern of natural selection. This article provides an examination of geostatistical analysis, a method used widely in geology but which has not often been applied in biological anthropology. Geostat...

To have information about the soybean productivity over crop years is essential to define strategies increase profits and reduce costs most important environmental impacts. One form of monitoring use Geostatistical methods, which allow us obtain maps with more accurate predictions. In this paper, an area 127.16 ha was studied during six between 2012/2013 2017/2018. We found that values vary yea...

This paper presents an overview of geostatistical simulation with particular focus on aspects of importance to its application for quantification of risk in the mining industry. Geostatistical simulation is a spatial extension of the concept of Monte Carlo simulation. In addition to reproducing the data histogram, geostatistical simulations also honour the spatial variability of data, usually c...

Spatial dependence exists when the variation between observations is dependent on spatial location. In the present study, geostatistical methods were used to examine spatial dependence in adolescents’ perceptions of their neighborhoods: whether adolescents living in close proximity perceived their neighborhoods more similarly than adolescents living further apart. Participants included 343 adol...

The IsoMAP uses the multiple linear regression and geostatistical methods to analyze isotope data. Suppose the response variable Y (s) and the vector of independent variable x(s) are observed at a finite number of sites s1, · · · , sn. The multiple linear regression method assumes Y (s) and Y (s′) are independent but the geostatistical method assume they are not. In the following, we will first...