Spatial Data Analysis in Three Dimensions
Presentation Type
Poster Session
Location
Burnett Honors College
Start Date
10-10-2014 5:15 PM
End Date
10-10-2014 7:00 PM
Description/Abstract
Spatial data analysis allows researchers to depict the distribution of observations that correspond to locations in a geographic framework, which facilitates the identification, measurement, and modeling of spatial relationships in the real world. While this approach is useful, even more beneficial is the ability to conduct such analyses in three dimensions (3D). Reality exists in 3D and inquiries regarding contours, slopes, and elevations are best addressed using 3D visualization. This study presents diverse examples of spatial analyses conducted by undergraduates using Geographic Information Systems (GIS) applications in 3D.
Spatial Data Analysis in Three Dimensions
Burnett Honors College
Spatial data analysis allows researchers to depict the distribution of observations that correspond to locations in a geographic framework, which facilitates the identification, measurement, and modeling of spatial relationships in the real world. While this approach is useful, even more beneficial is the ability to conduct such analyses in three dimensions (3D). Reality exists in 3D and inquiries regarding contours, slopes, and elevations are best addressed using 3D visualization. This study presents diverse examples of spatial analyses conducted by undergraduates using Geographic Information Systems (GIS) applications in 3D.
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