A new Spatial OLAP approach for the analysis of Volunteered Geographic Information
Abstract Volunteered Geographic Information (VGI) has great potential for enhancing
analysts' capabilities, assuming that VGI data quality issues, such as credibility and …
analysts' capabilities, assuming that VGI data quality issues, such as credibility and …
Modeling vague spatial data warehouses using the VSCube conceptual model
Although many real world phenomena are vague and characterized by having uncertain
location or vague shape, existing spatial data warehouse models do not support spatial …
location or vague shape, existing spatial data warehouse models do not support spatial …
A new design method for managing spatial vagueness in classical relational Spatial OLAP Architectures
Abstract Spatial Data Warehouses (SDW) and Spatial OLAP (SOLAP) systems are well-
known Business Intelligence technologies that aim to support multidimensional and online …
known Business Intelligence technologies that aim to support multidimensional and online …
[PDF][PDF] Exploiting Spatial Vagueness in Spatial OLAP: Towards a new hybrid risk-aware design approach
Spatial OLAP systems allow multidimensional analysis of huge volume of spatial data.
Spatial vagueness is one of the most transparent and current imperfections of spatial data …
Spatial vagueness is one of the most transparent and current imperfections of spatial data …
New design approach to handle spatial vagueness in spatial OLAP datacubes: application to agri-environmental data
Spatial OLAP (SOLAP) technologies are dedicated to multidimensional analysis of large
volumes of (spatial) data. Spatal data are subject to different types of uncertainty, in …
volumes of (spatial) data. Spatal data are subject to different types of uncertainty, in …
A hybrid risk–aware design method for spatial datacubes handling spatial vague data: implementation and validation
E Edoh–Alove, S Bimonte… - … Journal of Business …, 2014 - inderscienceonline.com
Spatial data warehouses (SDWs) and spatial OLAP (SOLAP) are well–known business
intelligence (BI) technologies that aim to support multidimensional and online analysis of …
intelligence (BI) technologies that aim to support multidimensional and online analysis of …
[PDF][PDF] Indexing Vague Regions in Spatial Data Warehouses.
A vague spatial data warehouse allows multidimensional queries with spatial predicates to
support the analysis of business scores related to vague spatial data, addressing real world …
support the analysis of business scores related to vague spatial data, addressing real world …
New design approach to handle spatial vagueness in spatial OLAP datacubes: application to agri-environmental data
Spatial-OLAP (SOLAP) technologies are dedicated to multidimensional analysis of large
volumes of (spatial) data. Spatial data are subject to different types of uncertainty, in …
volumes of (spatial) data. Spatial data are subject to different types of uncertainty, in …
Indexing and querying vague spatial data warehouses
A vague spatial data warehouse allows multidimensional queries with spatial predicates to
support the analysis of business scores related to vague spatial data, crisp spatial data and …
support the analysis of business scores related to vague spatial data, crisp spatial data and …
[PDF][PDF] Towards development of fuzzy spatial datacubes: fundamental concepts with example for multidimensional coastal erosion risk assessment and representation
A Jadidi Mardkheh - 2014 - collectionscanada.gc.ca
Abstract Current Geospatial Business Intelligence (GeoBI) systems typically do not take into
account the uncertainty related to vagueness and fuzziness of objects; they assume that the …
account the uncertainty related to vagueness and fuzziness of objects; they assume that the …