Current Search: Thematic maps. (x)
-
-
Title
-
Drawing meaning: recording detail and mapping accumulations.
-
Creator
-
Taylor, Jillian., Dorothy F. Schmidt College of Arts and Letters, Department of Visual Arts and Art History
-
Abstract/Description
-
With the commitment of a nineteenth century objectivist scientist, I established a rigorous methodology in my studio practice through drawing, cutting and sorting that asserts meticulous attention to and recording of detail. This resulted in an overwhelming accumulation of components - pieces of information that no longer functioned to create the "whole." Interested in how information adds up to meaning, I am preoccupied with sorting out meaning from my accumulations. With each work, I create...
Show moreWith the commitment of a nineteenth century objectivist scientist, I established a rigorous methodology in my studio practice through drawing, cutting and sorting that asserts meticulous attention to and recording of detail. This resulted in an overwhelming accumulation of components - pieces of information that no longer functioned to create the "whole." Interested in how information adds up to meaning, I am preoccupied with sorting out meaning from my accumulations. With each work, I create a map that works less to mark a destination than to structure a journey. No longer "lost" in the details, these accumulated works effect a "whole" where the inflection of my hand in each discreet decision I made adds up to marking my place. This offers the viewer the possibility that asserting one's place is meaning enough.
Show less
-
Date Issued
-
2011
-
PURL
-
http://purl.flvc.org/FAU/3174077
-
Subject Headings
-
Drawing, Philosophy, Semiotics and art, Object (Aesthetics), Thematic maps
-
Format
-
Document (PDF)
-
-
Title
-
Data Fusion of LiDAR and Aerial Imagery to Map the Campus of Florida Atlantic University.
-
Creator
-
Gamboa, Nicole, Zhang, Caiyun, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Geosciences
-
Abstract/Description
-
Reliable geographic intelligence is essential for urban areas; land-cover classification creates the data for urban spatial decision making. This research tested a methodology to create a land-cover map for the main campus of Florida Atlantic University in Boca Raton, Florida. The accuracy of nine separate land-cover classification results were tested; the one with the highest accuracy was chosen for the final map. Object-based image segmentation was applied to fused and LiDAR point cloud ...
Show moreReliable geographic intelligence is essential for urban areas; land-cover classification creates the data for urban spatial decision making. This research tested a methodology to create a land-cover map for the main campus of Florida Atlantic University in Boca Raton, Florida. The accuracy of nine separate land-cover classification results were tested; the one with the highest accuracy was chosen for the final map. Object-based image segmentation was applied to fused and LiDAR point cloud (elevation and intensity) data and aerial imagery. These were classified by Random Forest, k-Nearest Neighbor and Support Vector Machines classifiers. Shadow features were reclassified hierarchically in order to create a complete map. The Random Forest classifier used with the fused data set gave the highest overall accuracy at 82.3%, and a Kappa value at 0.77. When combined with the results from the shadow reclassification, the overall accuracy increased to 86.3% and the Kappa value improved to 0.82.
Show less
-
Date Issued
-
2016
-
PURL
-
http://purl.flvc.org/fau/fd/FA00004595, http://purl.flvc.org/fau/fd/FA00004595
-
Subject Headings
-
Spatial analysis (Statistics), Geographic information systems., Cartography--Remote sensing., Thematic maps., Geospatial data--Mathematical models., Criminal justice, Administration of., African Americans, Violence against.
-
Format
-
Document (PDF)
