Global ETD Search

31	Planning for Industrial Land and Industrial Jobs: An Evaluation of New York City's Industrial Business Zone Program Davis, Jennifer 02 July 2019 (has links) In recent years, industrial preservation policies, which aim to preserve urban industrial activity and industrial employment often through the preservation of industrial land, have emerged as a flashpoint in cities across the country that have implemented these policies. While critics contend that industrial preservation policies amount to smokestack chasing in “post-industrial” cities like New York City, industrial preservationists argue that such policies help to preserve well-paying, middle-class jobs and thus represent a tool to mitigate rising income inequalities in cities. Despite considerable attention to these policies, minimal research has evaluated the effectiveness of industrial preservation policies as land use and economic development planning tools. This paper inserts itself into the debate surrounding the utility of industrial preservation policies by evaluating the effectiveness of New York City’s 2006 Industrial Business Zone (IBZ) program. Specifically, this paper uses propensity scoring to evaluate various measures of urban industrial activity in designated IBZs compared to a control group of similar areas. This paper finds that IBZs outperformed the control group in terms of better stemming industrial employment losses and industrial land decline. The control group, however, provided a more favorable climate to industrial business starts and performed about the same as IBZs in encouraging capital investments in industrial infrastructure. These findings suggest that the IBZ program yielded mixed results in its efforts to both attract and retain urban industry. economic development industrial land industrial business zones manufacturing economic development incentives new york city Economic Policy Geographic Information Sciences Labor Economics Policy Design, Analysis, and Evaluation Public Policy Regional Economics Spatial Science Urban Studies Urban Studies and Planning
32	Species Data and Vector Modeling: Evaluating Datasets for Improved Models of Ixodes ricinus Tick Distribution in Europe Under a Changing Climate Jones, Steven 01 December 2022 (has links) To increase capacity for monitoring and surveillance of tick-borne diseases, publicly available tick distribution and climate change datasets are required to create accurate predictive distribution models. It is difficult, however, to assess model accuracy and utility when using incomplete datasets.  The more recent development of comprehensive tick databases for Europe and availability of climate change scenarios from multiple IPCC Assessment Reports allows for improved modeling efforts. Multiple tick datasets were combined and three climate change projections were compared by predicting current and future distributions of Ixodes ricinus ticks in Europe using the MaxEnt species distribution model. Overall, much of Europe contains suitable habitat for the Ixodes ricinus tick, both now and under future climate change projections.  Contraction of habitable areas is predicted to occur at lower latitudes and altitudes, while expansion is predicted to occur at higher altitudes in mountainous regions and the higher latitudes, primarily in northern Scandinavia. Ixodes ricinus Lyme disease Europe tick vector Borrelia burgdorferi Lyme borreliosis climate change Disease Modeling Environmental Public Health Epidemiology Geographic Information Sciences Parasitic Diseases Physical and Environmental Geography Spatial Science
33	Using Digital Mapping Techniques to Rapidly Document Vulnerable Historical Landscapes in Coastal Louisiana: Holt Cemetery Case Study Moore, Alahna 18 May 2018 (has links) This thesis outlines a technique for rapid documentation of historic sites in volatile cultural landscapes. Using Holt Cemetery as an exemplary case study, a workflow was developed incorporating RTK terrain survey, UAS aerial imagery, photogrammetry, GIS, and smartphone data collection in order to create a multifaceted database of the material and spatial conditions, as well as the patterns of use, that exist at the cemetery. The purpose of this research is to create a framework for improving the speed of data creation and increasing the accessibility of information regarding threatened cultural resources. It is intended that these processes can be scaled and adapted for use at any site, and that the products generated can be utilized by researchers, resource management professionals, and preservationists. In utilizing expedited methods, this thesis specifically advocates for documentation of sites that exist in coastal environments and are facing imminent destruction due to environmental degradation. archaeology cemetery survey climate change coastal studies spatial database digital history documentation, GIS Holt Cemetery landscape studies Louisiana material culture New Orleans photogrammetry remote sensing spatial studies UAS survey American Material Culture Archaeological Anthropology Cultural History Digital Humanities Environmental Studies Genealogy Geographic Information Sciences Museum Studies Remote Sensing Spatial Science Urban Studies and Planning
34	Modeling Spatial Distributions of Tidal Marsh Blue Carbon using Morphometric Parameters from Lidar Turek, Bonnie 05 April 2023 (has links) (PDF) Tidal marshes serve as important “blue carbon” ecosystems that accrete large amounts of carbon with limited area. While much attention has been paid to the spatial variability of sedimentation within salt marshes, less work has been done to characterize spatial variability in marsh carbon density. Driven by tidal inundation, surface topography, and sediment supply, soil properties in marshes vary spatially with several parameters, including marsh platform elevation and proximity to the marsh edge and tidal creek network. We used lidar to extract these morphometric parameters from tidal marshes to map soil organic carbon (SOC) at the meter scale. Fixed volume soil samples were collected at four northeast U.S. tidal marshes with distinctive morphologies to aid in building our predictive models. Tidal creek networks were delineated from 1-m resolution topo-bathy lidar data using a semi-automated workflow in GIS. Sample distance to tidal creeks and flow distance to the marsh edge were then determined. Log-linear multivariate regression models were developed to predict soil organic content, bulk density, and carbon density as a function of these predictive metrics at each site and across sites. Results show that modeling salt marsh soil characteristics with morphometric inputs works best in marshes with simple, single creek morphologies. Distance from tidal creeks was the most significant model predictor. Addition of distance to the inlet and tidal range as regional metrics significantly improves cross-site modeling. Our process-based approach results in predicted total marsh carbon stocks comparable to previous studies but provides trade-offs to existing simplistic carbon mapping methods. Further, we provide motivation to continue rigorous mapping of soil carbon at fine spatial resolutions and to use these results to guide salt marsh restoration projects and aid in the development of carbon markets. coastal tidal marsh salt marsh carbon soil spatial modeling Environmental Health and Protection Environmental Monitoring Geographic Information Sciences Geology Geomorphology Hydrology Natural Resources and Conservation Natural Resources Management and Policy Nature and Society Relations Oceanography Other Earth Sciences Physical and Environmental Geography Sedimentology Soil Science Spatial Science

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