Background The spread of the coronavirus disease 2019 (COVID-19) has increasingly
agonized daily lives worldwide. As an archipelagic country, Indonesia has various physical …

The main part of the study will be to demonstrate that models taking into account spatial
heterogeneity (Geographically Weighted Regression and Mixed Geographically Weighted …

Decoupling of resource consumption from economic growth is a key principle in the
transition towards a circular economy. This study explores regional variation in the …

This paper uses the methodological scheme of contingency tables to explore polarisation in
the Polish labour market. We use a large database of online job offers published on selected …

This study aims to analyze the spatial distribution of the epidemic spread and the role of the
physical, social, and economic characteristics in this spreading. A geographically weighted …

Over the past few years the discharge of waste and sewage in the Guangdong-Hong Kong-
Macau Greater Bay Area (GHMB) of China has increased, exerting a great amount of …

More and more studies on land transfer prices have been carried out over time. However,
the influencing factors of the industrial land transfer price from the perspective of spatial …

Despite the increasing burden of depression problems in South Africa, there remains a
dearth of nationally representative rural-urban and spatial studies of the prevalence and …

Land carrying capacity is an important factor for urban sustainable development. It provides
essential insights into land resource allocation and management. In this article, we propose …

Inspired by the success of Geographically Weighted Regression and its accounting for
spatial variations, we propose GeogGNN--A graph neural network model that accounts for …