The modifiable areal unit problems (MAUP) is a problem by which aggregated units of data influence the results of spatial data analysis. Standard GWR, which ignores aggregation mechanisms, cannot be considered to serve as an efficient countermeasure of MAUP. Accordingly, this study proposes a type of GWR with aggregation mechanisms, termed area-to-point (ATP) GWR herein. ATP GWR, which is close...

The objective of this study is to develop a multiple linear regression model that measures the relationship between the church services supply and the attendance to the services in the Uppsala diocese, Church of Sweden. By reviewing previous models and examining the nature of data available, two research questions were introduced, namely, the problem of omitted variables and the problem of spat...

This paper describes geographically weighted Poisson regression (GWPR) and its semi-parametric variant as a new statistical tool for analysing disease maps arising from spatially non-stationary processes. The method is a type of conditional kernel regression which uses a spatial weighting function to estimate spatial variations in Poisson regression parameters. It enables us to draw surfaces of...

In this study, Geographically Weighted Trivariate Weibull Regression (GWTWR) model and parameter estimation procedure are proposed. GWTWR is trivariate Weibull regression model which all of the regression parameters depend on the geographical location, and parameter estimation is done locally at each location in the study area. The location is expressed as a point coordinate in two-dimensional ...

Indonesia merupakan penyumbang kasus baru penyakit kusta tiga terbesar lingkup dunia, dengan Jawa Timur sebagai provinsi yang berkontribusi tertinggi. Hal ini membuat pemerintah menetapkan target rencana aksi guna mengeliminasi di Indonesia. Penyakit tergolong menular sehingga penyebaran dipengaruhi faktor lingkungan geografis. Oleh sebab itu, digunakan metode Geographically Weighted Regression...

The increase in atmospheric pollution dominated by particles with an aerodynamic diameter smaller than 2.5 μm (PM2.5) has become one of the most serious environmental hazards worldwide. geographically weighted regression (GWR) model is a vital method to estimate spatial distribution ground-level PM2.5 concentration. Wind information reflects directional dependence distribution, which can be abs...