Community development, Urban

Model
Digital Document
Publisher
Florida Atlantic University
Description
The recent financial crisis which has beset the United States has made itself felt in a number of ways, not the least of which has been its adverse effect on the housing market. As foreclosure percentages accelerated, increasing numbers of properties across the country became empty and abandoned, leaving a visible imprint of deterioration in neighborhoods that were significantly affected. Initial GIS analysis of both foreclosed and non-foreclosed residential land in Broward County Florida was conducted, showing that there is a discernible spectral difference in the lawn space of these two types of properties, with foreclosed properties exhibiting more brownness, or loss of green space. In order to evaluate whether or not this visible deterioration has had an effect on residents left behind in areas of foreclosure and their own habits, 950 mail-in surveys were distributed throughout 19 different census tracts in Broward County, inquiring about demographics, surrounding foreclosures, degrees of concern for home value and appearance, and changes in lawn maintenance since the foreclosure crisis along with reasons for such change if such exists. Data received from respondents was then analyzed in order to identify any attributes or correlations which might contribute to further neighborhood change, and how any of these factors might be affecting attitudes or perceptions of those left behind, as well as their lawn maintenance habits.
Model
Digital Document
Publisher
Florida Atlantic University
Description
The rapid increase of urban growth is a major issue for many regions around the world, which result in astounding loss in farmlands and increase in population densities. It important that urban growth be monitored as it will aid the local government in implementing the appropriate measures for a growing population. The city of Boca Raton, Florida, is the case study for this research. A multi-temporal analysis is done of five Landsat satellite images over a thirty year time period, 1973-2002. Textural analysis was performed on each of the images, to delineate the urban areas. Three by-products resulted from the textural analysis: time series tinted overlays, dasymetric mapping and a series of animated maps, showing the movement of growth across the landscape through time. All the resulting products of the time series analysis were used to show the magnitude and direction of growth over time.