Data about the land cover have already been for decades one of the most important sources
for determining human impact on nature and the environment and possible backward effects …

ABSTRACT Discrete Global Grid Systems (DGGSs) are hierarchical frameworks that provide
seamless global coverage and enable the efficient processing and analysis of …

Abstract Discrete Global Grid Systems (DGGSs) employ uniform cells for hierarchical Earth
surface representation. However, prevalent software systems stemming from DGGS only …

The increasing availability of global observational data has sparked a demand for deep
learning algorithms on spherical grids to enable intelligent analysis at a global scale …

The rapid growth in Earth's global geospatial data necessitates an efficient system for
organizing the data, facilitating data fusion from diverse sources, and promoting …

Application domains such as environmental health science, climate science, and
geosciences—where the relationship between humans and the environment is studied—are …

In an emergency, dedicated vehicles play an important role. The response time is one issue
that must be considered. In this article, we propose a framework for simulating emergency …

Much of the information that we use is geospatially referenced. The need for homogeneous
representation of global geographic themes is recognised as critical for sustainable …

Cities worldwide face the dual challenge of increasing density while developing sustainably.
These pressures strain transportation systems, necessitating optimal performance. In the …

Numerous organizations, such as insurance companies, work with global geospatial data.
Global spatial operations, including risk assessment or disaster analysis, take time to …