Organizations that leverage their increasing volume of geospatial data have the potential to enhance their strategic and organizational decisions. However, literature describing the best techniques to make decisions using geospatial data and the best approaches to take advantage of geospatial data’s unique visualization capabilities is limited. This paper reviews the use of geospatial visualiza...

A Cyberinfrastructure (CI) is a combination of data resources, network protocols, computing platforms, and computational services that brings people, information, and computational tools together to perform science or other data-rich applications in this information-driven world. Most science domains adopt intrinsic geospatial principles (such as spatial constraints in phenomena evolution) for ...

Linked geospatial data has recently received attention as researchers and practitioners have started tapping the wealth of geospatial information available on the Web. With the rapid population of the Web of data with geospatial information, applications to manage it have also started to emerge. What the semantic geospatial web lacks, though, compared to the technological arsenal of the traditi...

This project aims at developing a contour-based spatial model which can detect geospatial targets accurately in high-resolution Aerial images. The detected targets are tracked using target tracking Correlation Algorithm. To detect the geospatial targets with complex structures, each image was partitioned into pieces as target candidate regions using multiple segmentations at first. Then, the au...

As geospatial data are becoming more widely used through mobile devices and location sensitive applications, the potential value of linked open geospatial data in particular has grown, and a foundation is being developed for the Semantic Geospatial Web. Protocols such as GeoSPARQL and stSPARQL extend SPARQL in order to take advantage of spatial relationships inherent in geospatial data. This pa...

The increasingly available Graphics Processing Units (GPU) hardware resources and the emerging General Purpose computing on GPU (GPGPU) technologies provide an alternative and complementary solution to existing cluster based high-performance geospatial computing. However, the complexities of the unique GPGPU hardware architectures and the steep learning curve of GPGPU programming have imposed s...