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Tracking Violence: Using Neighborhood-level Characteristics In The Analysis Of Domestic Violence In Chicago And The State Of IllinoisMorgan, Rachel 01 January 2013 (has links)
Social disorganization theory proposes that neighborhood characteristics, such as residential instability, racial and ethnic heterogeneity, concentrated disadvantage, and immigrant concentration contribute to an increase in crime rates. Informal social controls act as a mediator between these neighborhood characteristics and crime and delinquency. Informal social controls are regulated by members of a community and in a disorganized community these controls are not present, therefore, crime and delinquency flourish (Sampson, 2012). Researchers have focused on these measures of social disorganization and the ability to explain a variety of crimes, specifically public crimes. Recently, researchers have focused their attention to characteristics of socially disorganized areas and the ability to predict private crimes, such as domestic violence. This study contributes to the research on social disorganization theory and domestic violence by examining domestic offenses at three different units of analysis: Chicago census tracts, Chicago neighborhoods, and Illinois counties. Demographic variables from the 2005-2009 American Community Survey were utilized to measure social disorganization within Chicago census tracts, Chicago neighborhoods, and Illinois counties. Data on domestic offenses in Chicago were from the City of Chicago Data Portal and data on domestic offenses in Illinois counties were retrieved from the Illinois Criminal Justice Information Authority (ICJIA). This study incorporated geographic information systems (GIS) mapping to examine the relationships between locations of domestic offenses and the measures of social disorganization in each unit of analysis. Results of this study indicate that different measures of social disorganization are significantly associated with domestic offenses in each unit of analysis.
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USING CONSERVATION GIS TO BUILD A PREDICTIVE MODEL FOR OAK SAVANNA ECOSYSTEMS IN NORTHWEST OHIORicci, Marcus Enrico 28 March 2006 (has links)
No description available.
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VERTUS: VEHICLE EMISSIONS RELATED TO URBAN SPRAWLDolney, Timothy J. 29 June 2007 (has links)
No description available.
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STUDY OF SPATIAL/TEMPORAL PATTERNS OF RADON RELEASES FROM THE K-65 SILOS, USING DISPERSION MODELING AND GIS: A CASE STUDY AT THE DEPARTMENT OF ENERGY'S FERNALD ENVIRONMENTAL MANAGEMENT PROJECT, CINCINNATI, OHIOHASAN, KHALID January 2001 (has links)
No description available.
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EMPLOYING LAND-USE SCHEMES AS A MITIGATION STRATEGY FOR THE WATER QUALITY IMPACTS OF GLOBAL CLIMATE CHANGELIU, AMY JIN-RONG 22 May 2002 (has links)
No description available.
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Tennessee Rockfall Management SystemRose, Brett Tyler 25 October 2005 (has links)
The Rockfall Management System developed for Tennessee DOT (TennRMS)integrates a customized rockfall risk rating system, web-based GIS application, and rockfall database to provide a robust single interface for interacting with rock slope information. The system should prove to be a valuable tool for the proactive management of rock slopes. The most important use of the system will be to identify and prioritizing rock slopes with the greatest potential for rockfall in order to provide decision makers with all the necessary information they need to plan remediation efforts. Over time, TennRMS can be used to track costs and effectiveness of different remediation methods used on problem rock slopes.
Three papers have been developed for publication in peer reviewed journals. The papers describe the work done in support of developing Tennessee's Rockfall Management System (TennRMS) and its components. The system can be described by its conceptual framework and actual implemented components. Asset management incorporating risk & decision analysis and knowledge management makes up the conceptual framework. The system components include a field data collection system using PDA's, a rockfall database and a web-based GIS interface. The papers articulate the development and implementation of the various components and to provide a detailed review of rockfall management systems as implemented over the past 15 years. / Ph. D.
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Assessing Geographic Information Systems (GIS) Use in Marketing Applications: A Case of Study in the Wood Products IndustryBrenes Bastos, Melissa 29 July 2014 (has links)
Geographical Information Systems (GIS) is a worldwide growing technology, however it is not yet completely accepted. Of all of the business processes in an organization, marketing is perhaps one of the natural fitting-processes to apply GIS. Even though there is recent research regarding applications of GIS in the wood products industry, those applications are mostly related to biomass mapping and logistics issues. Little research has been conducted on the utilization of GIS as part of the marketing strategic plan in this industry. Thus, the main goal of this project is to understand GIS uses on marketing application in the wood products industry, specifically in the marketing mix strategic plan.
The approach of this project consisted of the collection and analysis of data from secondary wood products industries in the state of Virginia. In addition, a case of study on current users of GIS applications was conducted. Once the data from the survey and the case study were collected, validated, and analyzed; applications and guidelines for the use of GIS in marketing activities were developed. The first application was the creation of a relational database to organize the information and to create an industry directory for secondary wood products industries. Secondly, clustering techniques were used to test if wood products companies cluster around certain geographical regions. Confirmation of the clustering led to the construction of an online map. Finally, guidelines were developed to describe how to use GIS in the marketing process of wood products firms.
By increasing the knowledge and developing guidelines on GIS uses on marketing mix applications this study will help the wood products industry, other practitioners and the academic community, by providing insight of the industry, possible uses to simplify the strategic process and gain understanding of the environment among other. / Master of Science
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Applicability of Stormwater Best Management Practices in the Virginia Coastal PlainJohnson, Rachael Diane 06 June 2016 (has links)
The Virginia Runoff Reduction Method (RRM) was adopted in 2014 as a compliance tool for evaluation of stormwater volume and quality, and necessitates use of urban stormwater best management practices (BMPs) to meet regulatory standards. Coastal Virginia is characterized by flat terrain, shallow water tables, and low permeable soils that may limit the application of BMPs as recommended by state regulations. Soil morphological features are often used to estimate the seasonal high water table (SHWT) for initial feasibility, but existing soil data misrepresented expected SHWT depths in the Virginia Beach, VA, study area. A GIS-based methodology relying on perennial surface water elevations and USGS groundwater monitoring data was developed to estimate the SHWT depth in Virginia Beach. The SHWT map was shown to be consistently more reliable than available predictions based on soil morphology, and was used as input to a BMP siting tool. The tool, known as BMP Checker, was developed to explore how flat terrain, shallow water tables, and poor soils influence BMP siting in coastal Virginia. The BMP Checker algorithm was validated on 11 Virginia Beach sites before application on 10,000 ft2 (929 m2) area sections across the city. Citywide application showed that the most widely applicable BMPs in the study area include wet ponds that intercept groundwater and constructed wetlands. Conversely, sheet flow to conservation area and infiltration practices are the least applicable. Because the RRM assigns more credit to infiltration-based practices, sites in Virginia Beach may find it difficult to meet regulatory standards. / Master of Science
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Regional food security in south-central Appalachia: Connecting diet, land requirement, and agricultural carrying capacitySmith, Margaret Blair 07 November 2014 (has links)
Local communities and regional networks are currently exploring the strategy of developing local and regional food systems in order to enhance food security. The relationship between food consumption and production must be tested at various scales and across geographies in order to describe how place-based diets influence agricultural land use and the degree to which a discrete agricultural land base can feed a population. This thesis used two models to integrate data from across the agricultural and nutritional sciences to test the capacity of regional food systems to meet complete diet food need in the south-central Appalachian foodshed. First, a complete diet approach was applied to the entire foodshed to test the influence of animal product and fat consumption on the land requirements of food production. The quantity of specific regionally-adapted food commodities for six diet patterns were estimated following USDA recommendations and compared to county-based Census of Agriculture land use data to determine agricultural carrying capacity. Second, a sub-regional geospatial foodshed model used site-specific soil and current land cover datasets to estimate the spatial distribution of food production capacity relative to the per capita food needs determined by the complete diet model. Together, these studies contribute information from a data-user perspective for stakeholders and planners interested in quantifying the capacity of regional food systems to meet total food needs. / Master of Science
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Basin-scale spatiotemporal analysis of hydrologic floodplain connectivityMcCann, David Michael 30 May 2014 (has links)
Floodplain inundation often provides water quality benefits by trapping sediment and biogeochemically transforming other pollutants. Hydrologic floodplain connectivity is a measure of water exchanges and interactions between the main channel and the floodplain via surface (inundation) and subsurface (groundwater) connections. Using an automated model combining GIS and numerical analysis software, this study examined floodplain inundation patterns and measured floodplain connectivity for the Mahantango Creek watershed (Pennsylvania, USA). Connectivity was quantified by developing a metric that included inundation area and duration. Long-term hydrographs at each reach in the watershed were developed via QPPQ (Flow-Percentile-Percentile-Flow) methodology using regional regression analysis to calculate the ungauged flow duration curves (FDC). Inundation area (normalized to stream length) was found to increase with drainage area, suggesting larger streams have more area available for biogeochemical activity. Annual connectivity increased with drainage area, suggesting larger streams, having higher connectivity, should be the focus of individual reach restoration projects due to higher potential for water quality benefits. Across the watershed as a whole, however, the total annual connectivity across first order streams was greater than higher order streams, suggesting the collection of small streams in a watershed may have a stronger effect on outlet water quality. Connectivity was consistently higher during the non-growing season, which was attributed to higher flows. Despite higher connectivity during the non-growing season, increased floodplain biological activity may be negated by low temperatures, reducing microbial activity. Correlations between land use and connectivity were also found, emphasizing dynamics between flow, channel morphology, and floodplain inundation. / Master of Science
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