. In this paper, we analyze a geospatial application for visualizing U.S. election results in order to show the problems that need to be solved in the mapping between different XML representations and their conceptual models. We propose a framework that provides a number of core classes

In this paper, we discuss our adaptation of a single-display, single-user commercial application for use in a multi-device, multi-user environment. We wrap Google Earth, a popular geospatial application, in a manner that allows for synchronized coordinated views among multiple instances running

Abstract This paper presents a study of Geography Markup Language (GML) 1 , the issues that arise from using GML for

As visualization software technology combined with geospatial components increases in the utility, telecommunications and related industries, applications are providing insight necessary to improving the optimization of network performance, capacity planning and utility asset management

work on semantic similarity measurement from different perspectives, including cognitive science, information retrieval, and ontology engineering, with a focus on applications in GIScience. It originated in the Workshop on Semantic Similarity Measurement and Geospatial Applications held in conjunction

geospatial applications. We first apply a set of benchmarks under 3 different configu-rations, i.e., MPI+CPU, MPI+GPU, and MPI+MIC. This set of benchmarks include embarrassingly parallel application, loosely communicating application, and intensely communicating appli-cation. It is found

technologies, currently being developed by the World Wide Web Consortium (W3C), to the needs of geographic information systems. In this paper we discuss a few of these technologies, adapted to the problem domain of Web-based geospatial applications. One of the most significant developments is the activity

This paper, prepared for a committee of the Computer Science and Telecommunications Board, should not be cited as a National Research Council report

The National Consortium on Remote Sensing in Transportation – Environmental Assessment headed out of Mississippi State University conducts research into the nature of land cover change as it relates to transportation features. For an environmentally sensitive area on the Mississippi Gulf Coast, ongoing research studies the changes in land cover for the area with particular emphasis on changes that have occurred related to completion of Interstate 10. Analyses of population and demographic information, existing land cover data, and non-spectral retrospective research illustrate that the area has changed dramatically in the past thirty years as evidence by a population increase of around 50%. These preliminary studies have detected the growth and change, but the lack of spectral analysis precludes the identification of spatial patterns of growth and change for the area. Spatial patterns of population growth and land cover change were identified through exploratory analyses, land cover classification, and change detection analyses conducted on multitemporal Landsat TM data. Exploratory analyses included creating tasseled-cap transformations and normalized difference vegetation index (NDVI) products of the Landsat TM image data. Tasseled cap transformation was used to enhance spectral information of Landsat TM data and to subdivide the landscape into water and non-water areas. The tasseled cap transformation optimizes data viewing for vegetation studies, a task essential for ecosystem delineation as related transportation

In this paper, we analyze a geospatial application for visualizing U.S. election results in order to show the problems that need to be solved in the mapping between different XML representations and their conceptual models. We propose a framework that provides a number of core classes that allow