A spatial information system (SIS) is critical to the hosting, querying, and analyzing of spatial data sets. The increasing availability of three-dimensional (3D) data (e.g. from aerial and terrestrial laser scanning) and ...
In recent years, the proliferation of Volunteered Geographic Information (VGI) has enabled many Internet users to contribute to the construction of rich and increasingly complex spatial datasets. This growth of geo-referenced ...
In recent years, economists have been using socio-economic and socio-demographic characteristics to explain self-reported individual happiness or satisfaction with life. Using Geographical Information Systems (GIS), we ...
In recent years, three-dimensional (3D) data has become increasingly available, in part as a result of significant technological progresses in Light Detection and Ranging (LiDAR). LiDAR provides longitude and latitude ...
With the growing availability of geo-referenced information on the Web, the problem of spatial information overload has attracted interest both in the commercial and academic world. In order to tackle this issue, personalisation ...
In recent years, economists have being using socio-economic and socio-demographic
characteristics to explain self-reported individual happiness or satisfaction with life. Using Geographical Information Systems (GIS), we ...
A three-tiered, enterprise, GIS architecture offers a robust, efficient, and secure platform to potentially revolutionize disaster management by enabling support of all of the phases of governmental activity that must occur ...
An effective disaster management system requires collection of baseline data that is comprehensive, accurate, timely, and accessible. Without these four characteristics, an effective, economical, and task-oriented disaster ...
As the volume of information available online continues to grow, there is an increasing problem with information overload. This issue is also escalating in the spatial domain as the amount of geo-tagged information expands. ...
The integrated management of both spatial and temporal components of information is crucial in order to extract significant knowledge from datasets concerning phenomena of interest to a large variety of applications. ...