Since the late 1970s, relational database technology has been adopted by most
organizations to store their essential data. However, nowadays, the needs of these …

Data warehouses are databases of a specific kind that periodically collect information about
the activities being performed by an organization. This information is then accumulated over …

Most urban planning monitoring activities were designed to monitor implementation of
aggregated sectors from different initiatives into practical and measurable indicators. Today …

Cloud computing systems handle large volumes of data by using almost unlimited
computational resources, while spatial data warehouses (SDWs) are multidimensional …

The reuse and integration of data give big opportunities, supported by the FAIR data
principles. Seamless data integration from heterogenous sources has been an interest of the …

A number of proposals for integrating geographical (Geographical Information Systems—
GIS) and multidimensional (data warehouse—DW and online analytical processing—OLAP) …

Location intelligence is a set of tools and techniques to integrate a geographical dimension
into BI platforms, aimed at enhancing their capability of better monitoring and interpreting …

Abstract Data aggregation in Geographic Information Systems (GIS) is a desirable feature,
spatial data are integrated in OLAP engines for this purpose. However, the development and …

A number of studies have been developed in recent years aimed at integrating pertinent
concepts and technologies for analytical multidimensional (OLAP) and geographic (GIS) …

Abstract A Data Warehouse (DW) is one of the main components of every BI system. It has
been convincingly argued that the success of BI projects can be strongly affected by the …