Geographic information systems

Methodologies in GIS are used to compute stream flows for a watershed in Northern California by implementing the Clark Hydrograph Method. GIS algorithms are used to produce time area diagrams with time of concentration formula. These methods are compared to a simulation in HEC-HMS with the dimensionless TAD equation and the ModClark Method. Each GIS method is used to estimate the hydrograph for a measured rainfall event. The accuracy of each of the methods is explored using the HEC objective function, mean squared error, and other statistical measures of correlation. Advantages and limitations of the GIS methodologies are examined and topics of further study are suggested.

The purpose of this study was to define the best Geographic Information System (G.I.S.) Software to manage the Storm Water Drainage Facilities for the Utilities Department of the Village of Tequesta, Florida. GeoMedia Professional was chosen, for its convenient user interface and its compatibility with other G.I.S. software such as ArcView or ARC/INFO. The GIS system displays the information in a map with different layers showing features such as drains or sewers. Subsystems were used to define the Levels of Standards (LOS) for the drainage system of the village. The data was collected from different sources such as Palm Beach County, or the property appraisers. The features are linked to databases, where the user can interface with the system and analyze the storm water network of the village. In the end, an interactive map was created with all the data, which provided a sufficient management tool for the Utilities Department.

Northeastern and mid-Atlantic United States are understudied from the perspective of hurricane vulnerability. In an attempt to fill this gap in research, this dissertation attempted to assess the hurricane vulnerability of the northeastern and mid- Atlantic United States through the construction of a Composite Hurricane Vulnerability Index (CHVI) for 184 counties extending from Maine to Virginia. The CHVI was computed by incorporating indicators of human vulnerability and physical exposure. Human vulnerability was derived from demographic, social and economic characteristics whereas physical exposure was based on attributes of the natural and built up environments. The spatial distribution of the CHVI and its component indices were examined and analyzed to meet the research goals, which were a) to develop indices of human vulnerability, physical exposure and composite hurricane vulnerability for all counties; b) to assess vulnerability distribution in terms of population size, metropolitan status (metropolitan versus non metropolitan counties) and location (coastal versus inland counties); c) to identify the specific underlying causes of vulnerability; d) to identify the significant clusters and outliers of high vulnerability; and e) to examine overlaps between high human vulnerability and high physical exposure in the region. Results indicated high overall vulnerability for counties that were metropolitan and / or coastal. Vulnerability clusters and intersections pointed towards high vulnerability in the major cities along the northeastern megalopolis, in the Hampton Roads section of Virginia and in parts of Delmarva Peninsula. Evidence of relationship of population size, metropolitan status and location with vulnerability levels provides a new perspective to vulnerability assessment.

This study examined the topography of prefrontal molds of human endocasts using three-dimensional laser scanning and geographic information systems (GIS) in order to carry out intra-species comparisons. Overall brain topography can indicate when major reorganizational shifts in brain structure happened in our evolutionalry history, and these shifts may indicate major shifts in cognition and behavior. Endocasts are one of the sole sources of information about extinct hominin brains ; they reproduce details of the brain's external morphology. Analysis of endocast morphology has never been done using GIS methodology. The use of GIS helps to overcome previous obstacles in regards to endocast analysis. Since this methodology is new, this research focuses on only one species, Homo sapiens and the area of focus is narrowed to the frontal lobe, specifically Broca's cap. This area is associated with speech in humans and is therefore of evolutionary significance. The variability in lateralization of this feature was quantified.

In the past 25 years, Palm Beach County has acquired more than 31 million acres of public preserves consisting of numerous native habitats that are home to threatened and endangered flora and fauna. Both endemic habitats and plant species benefit from expansion and connectivity through the adoption of native plants in surrounding areas. The next step in conserving these protected, larger areas is to identify ways to connect them in order to reduce their isolation and improve their likelihood of continued ecosystem health. This study aims to perform an analysis using a GIS database of Palm Beach County's Eastern urban areas to determine additional vegetation that currently exists on public lands and private preserves and to analyze and classify the vegetation for its potential conservation role, either as ; preserves, buffers, corridors or clusters connecting and enhancing existing natural areas.

Deterministic and stochastic weighting methods are commonly used methods for estimating missing precipitation rain gauge data based on values recorded at neighboring gauges. However, these spatial interpolation methods seldom check for their ability to preserve site and regional statistics. Such statistics and primarily defined by spatial correlations and other site-to-site statistics in a region. Preservation of site and regional statistics represents a means of assessing the validity of missing precipitation estimates at a site. This study evaluates the efficacy of traditional interpolation methods for estimation of missing data in preserving site and regional statistics. New optimal spatial interpolation methods intended to preserve these statistics are also proposed and evaluated in this study. Rain gauge sites in the state of Kentucky are used as a case study, and several error and performance measures are used to evaluate the trade-offs in accuracy of estimation and preservation of site and regional statistics.

This work aimed at aiding academic and CRM professionals in archaeology by developing a predictive model of prehistoric sites on the southeastern coast of Cuba. The variables in this model were identified by previous archaeological research at Guantâanamo Bay Naval Station. Both GIS analysis and weights of evidence testing were conducted on the model. The results of the GIS and statistical analysis allowed for refinement of the model. Cuba is central to understanding the prehistoric settlement of the Caribbean. The model explored not only site occurrence and environmental correlations, but also looked at intersite correlations. It was determined that site occurrences are strongly linked to low elevation, proximity to other sites, south-facing areas, mangroves, and geologic formations. This model may add to the understanding of the prehistoric settling of Cuba, as well as the interactions between native groups.

The Florida Reef Tract in Southeast Florida is made up of hard-bottom formations. The shape and size of the tract is constantly changing. One major factor contributing to these changes is the movement of sand. This is influenced by location-based, human-induced, and natural factors. These shifting sands cover or uncover reef structure. Images of the Florida Reef Tract in Palm Beach County were analyzed by the Department of Geosciences at Florida Atlantic University, using a partially automated method of mapping. There are notable changes in reef structure throughout the years 2004-2006, in which many major storm events occurred in the region. A time series analysis was conducted throughout these years. Losses and gains of reef structure were quantified and compared throughout the county as a whole, in beach renourishment project areas, and inlet intervals. Trends suggest that the major storms of 2004-2006 may have had effects on the reef tract.

The purpose of this study was to explore outcomes of a GIS/GPS integration process: to (a) examine student responses to GIS and GPS inclusion in their curriculum, (b) determine whether a relationship exists between inclusion of GIS into existing K-12 curriculum and student achievement, (c) examine the effectiveness of GIS professional development for teachers, and (d) evaluate teacher perceptions of the value of integrating GIS into their existing curricula. This study was quantitative and quasi-experimental in design. The samples consisted of 1,425 students from one middle school and 62 teachers from Palm Beach County School District. Two instruments were used in this study: student surveys and teacher feedback forms. Data from the student surveys indicated that students perceive their learning is enhanced by inclusion of GIS and GPS. Data from the teacher feedback forms revealed positive perceptions of the GIS/GPS program as an integrative tool for their existing curricula and a positive assessment of the GIS professional development training. The relationship between GIS instruction and student academic achievement was evaluated, measured by FCAT reading scores and final grades in science and social studies. The findings support the constructivist theory that students learn best when actively engaged in the process. In this study standardized FCAT reading test results and science and social studies grades corroborate the students' perceptions that GIS and GPS integration enhances their learning. Study results show FCAT reading scores were higher for GIS students than for non-GIS students. The research further indicated a significant increase in FCAT reading scores for non-native English speaking GIS students and a significantly higher average science grade for non-White GIS students.