Finding relevant geospatial information is increasingly critical because of the growing volume of geospatial data available within the emerging "Big Data" era. Users are expecting that the availability of massive datasets will create more opportunities to uncover hidden information and answer more complex queries. This is especially the case with routing and navigation services where the abilit...

Geospatial data exists in a variety of formats, including rasters, vector data, and large-scale geospatial databases. There exists an ever-growing number of sensors that are collecting this data, resulting in the explosive growth and scale of high-resolution remote sensing geospatial data collections. A particularly challenging domain of geospatial data processing involves mining information fr...

To provide a timely snapshot of current research that utilizes geospatial analysis and modeling in urban environment, the Korea-America Association for Geospatial and Environmental Sciences (KAGES) and the editorship of the International Journal of Geospatial and Environmental Research (IJGER) organized a special issue of IJGER on the theme of geospatial analysis and urban environment. Eight ar...

It is estimated that more than 80% of data that human beings have collected so far are geospatial data. In order for the geospatial data to be useful, information has to be extracted from the data and converted to knowledge. However, currently it is very difficult for general users to obtain geospatial data and turn them into useful information and knowledge. In order for geospatial information...

Geospatial information catalogs are complex infrastructures that store and publish geographic information. They are an important part of Geographic Information Systems (GIS), systems that manage geospatial data for a wide variety of application domains. To be useful, a catalog must ef ciently support discovery and retrieval of geospatial information, working as a key component for planning and ...

Seismic site effects are influenced mainly by geospatial uncertainties corresponding to geological or geotechnical spatial variance. Therefore, the development of a geospatial database is essential to characterize site-specific geotechnical information in multiscale areas and to optimize geospatial zonation methods with potentially high degrees of spatial variability based on trial-and-error ge...

Geospatial images, such as maps and aerial photographs, are important sources of spatial knowledge that people use for wayfinding. The rapid development of geodata acquisition and digital graphics has recently led to rather complete geographic coverage of both traditional and novel types of geospatial images. Divergent types of geospatial images vary in their support of human acquisition of spa...

In recent years, there has been a substantial increase in the usage of geospatial data, not only by the scientific community but also by the general public. Considering the diverse and heterogeneous nature of geospatial applications around the world and their inter-dependence, there is an impending need for enabling sharing of semantics of such content-rich geospatial information. Geospatial on...

As access to spatial and real-time data improves, the need for appropriate software tools has become prevalent. To develop geospatial applications in this context requires an approach to software architecture that helps developers evolve their solutions in flexible ways. Two concepts are today considered reasonable here – web services and agents. This paper presents generic geospatial agents in...