Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 4 of 4
Full-Text Articles in Social and Behavioral Sciences
A Method To Analyze Similarities Of Eye Movements: A Giscience Based Spatiotemporal Approach, Mehrdad Vaziri
A Method To Analyze Similarities Of Eye Movements: A Giscience Based Spatiotemporal Approach, Mehrdad Vaziri
USF Tampa Graduate Theses and Dissertations
Similarity analysis is the subject of several studies that primarily collect, process, and analyze movement data of various types, including animals, humans, vehicles, hurricanes, and eye tracking. The movement studies often focus on characteristics of a mobile entity (moving object) over time and space. Such studies usually are interested in tracking the changes to the moving object. Therefore, the size of the object becomes irrelevant. Each mobile object is considered a moving point through time and space. The points have all two attributes in common which are locations and timestamp of those locations. Despite the similarities between the movement datasets, …
Measuring And Understanding Food Accessibility In The Tampa Bay Area, Bailey I. Glover
Measuring And Understanding Food Accessibility In The Tampa Bay Area, Bailey I. Glover
USF Tampa Graduate Theses and Dissertations
In the Tampa Bay region, increasing population and changing demographics have begun to alter the characteristics of established neighborhoods. An increase in suburban growth has triggered a shift in the location and profitability of food establishments in socially disadvantaged neighborhoods. Supermarket closures have garnered attention from public health officials who are concerned with the overall availability of fresh food throughout Hillsborough and Pinellas Counties. Unfortunately, there has been little research surrounding the quality of food sold at establishments in both the Tampa Bay region and abroad. Instead, many geographic studies have chosen to group both fresh and prepared food establishments …
Habitat Suitability Index Model Of The Florida Sandhill Crane (Grus Canadensis Pratensis) In West-Central Florida, Courtney E. Buck
Habitat Suitability Index Model Of The Florida Sandhill Crane (Grus Canadensis Pratensis) In West-Central Florida, Courtney E. Buck
USF Tampa Graduate Theses and Dissertations
The Florida Sandhill Crane (Grus canadensis pratensis) is a state threatened endemic subspecies of the Sandhill Crane (Nesbitt & Tacha, 1997). With a population that was estimated at a maximum of 5,000 individuals in 2003 (Nesbitt & Hatchitt, 2008), it is imperative to identify potentially viable habitats, as Florida is rapidly developing. This research develops a Habitat Suitability Index model to determine unsuitable to optimally suitable habitat locations throughout west-central Florida. To do so, six suitability variables based on the crane’s life history were evaluated: Potential nesting area, immediate nesting area, wetland coverage, foraging area, brooding area, and road proximity. …
Assessing Palm Decline In Florida By Using Advanced Remote Sensing With Machine Learning Technologies And Algorithms., Christopher B. Hanni
Assessing Palm Decline In Florida By Using Advanced Remote Sensing With Machine Learning Technologies And Algorithms., Christopher B. Hanni
USF Tampa Graduate Theses and Dissertations
Native palms, such as the Sabal palmetto, play an important role in maintaining the ecological balance in Florida. As a side-effect of modern globalization, new phytopathogens like Texas Phoenix Palm Decline have been introduced into forest systems that threaten native palms. This presents new challenges for forestry managers and geographers. Advances in remote sensing has assisted the practice of forestry by providing spatial metrics regarding the type, quantity, location, and the state of heath for trees for many years. This study provides spatial details regarding the general palm decline in Florida by taking advantage of the new developments in deep …