Transmission applications in wireless networks have brought unprecedented demands. The
demand for high-performance wireless transmission is increasing day by day. Antenna …

In the industrial corridor of Boyacá, Colombia, population growth is accompanied by
anthropogenic activities such as industrial operations, vehicle exhaust fumes, mining …

Machine learning (ML) is a subject that focuses on the data analysis using various statistical
tools and learning processes in order to gain more knowledge from the data. The objective …

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 …

With the increasing size of geographical point data, scatterplot often suffers from serious
overdraw problems, which greatly hinders the visual exploration and analysis of data. At …

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 …

Predicted size and spatial distribution of future population are crucial drivers of development
growth and critical determinants for the development type per se. Population data is a prime …

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 …