About: Applied Geographic Studies is an academic journal. The journal publishes majorly in the area(s): Space (commercial competition) & Geographic information system. It has an ISSN identifier of 1083-3404. Over the lifetime, 34 publications have been published receiving 223 citations.
TL;DR: The Image Characterization and Modeling System (ICAMS) as discussed by the authors is a remote sensing/GIS software module that provides specialized spatial analytical tools for the measurement and characterization of satellite and other forms of spatial data.
Abstract: With the rapid increase in spatial data, especially in the NASA-EOS (Earth Observing System) era, it is necessary to develop efficient and innovative tools to handle and analyze these data so that environmental conditions can be assessed and monitored. A main difficulty facing geographers and environmental scientists in environmental assessment and measurement is that spatial analytical tools are not easily accessible. We have recently developed a remote sensing/GIS software module called Image Characterization and Modeling System (ICAMS) to provide specialized spatial analytical tools for the measurement and characterization of satellite and other forms of spatial data. ICAMS runs on both the Intergraph-MGE and Arc/info UNIX and Windows-NT platforms. The main techniques in ICAMS include fractal measurement methods, variogram analysis, spatial autocorrelation statistics, textural measures, aggregation techniques, normalized difference vegetation index (NDVI), and delineation of land/water and vegetated/non-vegetated boundaries. In this paper, we demonstrate the main applications of ICAMS on the Intergraph-MGE platform using Landsat Thematic Mapper images from the city of Lake Charles, Louisiana. While the utilities of ICAMS' spatial measurement methods (e.g., fractal indices) in assessing environmental conditions remain to be researched, making the software available to a wider scientific community can permit the techniques in ICAMS to be evaluated and used for a diversity of applications. The findings from these various studies should lead to improved algorithms and more reliable models for environmental assessment and monitoring.
TL;DR: This paper examined the positional accuracy of some of the most important Environmental Protection Agency databases and presented a methodology for identifying and correcting the errors found in the EPA databases, with South Carolina used as an example.
TL;DR: In this article, the Cuppy-McClure Watershed, Indiana, an area undergoing conversion from agricultural to residential and industrial uses, was assessed for the use of a geographic information system (GIS).
TL;DR: In this article, the probabilistic model of consumer spatial behavior formulated by Huff in 1962 continues to be used extensively by academicians and professional analysts in a variety of different applications.