Efficiency has been a pivotal aspect of the software industry since its inception, as a system
that serves the end-user fast, and the service provider cost-efficiently benefits all parties. A …

In recent years, geospatial big data (GBD) has obtained attention across various disciplines,
categorized into big Earth observation data and big human behavior data. Identifying …

Geospatial information has been indispensable for many application fields, including traffic
planning, urban planning, and energy management. Geospatial data are mainly stored in …

As they swiftly evolve and become widely adopted, new technologies are fundamentally
transforming the landscape of business models. Digital transformation has become a top …

Abstract A Digital Twin (DT) is a virtual replica of a physical object or system, created to
monitor, analyze, and optimize its behavior and characteristics. A Spatial Digital Twin (SDT) …

This paper examines the use of Elasticsearch for data warehousing and analyses of geo-
referenced sensor data. Elasticsearch has several advantages compared to its direct …

This paper presents the issue of geographic data storage in NoSQL databases. The authors
present the performance investigation of the non-relational database MongoDB with its built …

With increasing numbers of GPS-equipped mobile devices, we are witnessing a deluge of
spatial information that needs to be effectively and efficiently managed. Even though there …

This paper proposes an open-source algorithm that performs parallel processing of spatial
queries, during which an initial selection of objects to be subjected to spatial relationship …

Database deployment is a complex task depending on a multitude of operational
parameters such as anticipated data scaling trends, expected type and volume of queries …