A Generalized Space Time Autoregressive or GSTAR is a special model of Vector
Autoregressive (VAR) model which is a combination of time series and spatial models which …

Spatial models are essential in the prediction of climate phenomena because they can
model the complex relationships between different locations. In this study, we discuss an …

A Co-Kriging method is a method that used to predict the value of the point at unobserved
locations by sample points are known to be spatially interconnected by adding other …

Abstract The Ordinary Kriging method is a method used to predict an observation at an
unobserved location based on observed points that are spatially related. Corona Virus …

After years of contamination, rivers may get large amounts of heavy metal pollution. Our
investigation's goal is to identify the river's hazardous locations. In our study case, we select …

Data spasial adalah data yang diperoleh dari hasil pengukuran yang berisi informasi
tentang lokasi, umumnya berdasarkan peta yang berisikan interpretasi dan proyeksi seluruh …

Semivariogram is a half variance diagram of the difference between observations at the
location 𝑠𝑖 with another location that is as far as ℎ units of distance. Semivariogram is used …

In this study, we used the Ordinary Point Kriging for predicting the spread of shear strength
of rock at a site in an unobserved location. Based on the nature of rocks, the rock quality …

In the last decades, flooding has caused significant damages and death in South Africa.
Flooding is associated with heavy rainfall events which vary largely in space and time. The …