While it is true that historic cemeteries are places that contain a wealth of knowledge about the history of a community they are sometimes not well maintained. The information within can be lost as grave-markers are damaged either by natural causes or human interaction. In larger cemeteries preserving these significant places can sometimes be difficult due to a number of different factors. Therefore focusing preservation efforts on specific locations where damage is more likely to occur is crucial to ensure that the monuments that are the most at risk are preserved. One possible way of accomplishing this is through the utilization of a geographic information system (GIS) to determine the shortest distance path an individual may take to reach a specific grave-marker. This can be accomplished by conducting a near analysis between an origin point and every grave-marker. These paths would also show each grave-marker that an individual passes indicating the potential for purposeful or accidental interaction. With this information efforts such as photogrammetry can be applied effectively for digital heritage preservation. Such methods would permit individuals to manipulate three-dimensional representations of grave-markers in order to preserve a large portion of the information it contains.

Intro: Public transit offers various advantages for both communities and individuals in terms of mobility and has the potential to serve as a practical alternative to private motorized transportation. Timely and convenient public transit becomes a lifeline for people who cannot access other types of transportation, especially when it comes to emergency care. Method: We built a private network analysis within ArcGIS Pro using coordinate data from hospitals and stand-alone emergency rooms as designated by the North American Industrial Classification System (NAICS) and public transit data from Orlando, FL. Establishing the accessible time as 30 minutes, we computed and visualized the accessible areas where individuals can get to a care facility within the time limit and via public transit. Then, we overlaid the map with demographic distribution and determined the relationship between populations' characteristics and access to care. Result: A total of 4178 active bus stops; among these, there are 1265 within a 5 to 10-minute walk to a care facility, and 68 bus routes, 249 actual care facilities, and 413 census tracts were found in the study area. Sixty-five census tracts showed less than 1% coverage, while 34 displayed complete 100% coverages, with the median service coverage across all tracts around 40%. The t-test series indicated a denser population and higher mobile homeownership in areas without level access. Conclusion: The investigation identified distinct spatial patterns in the distribution of care facilities, concentrated in the Central Business District, and created isolated areas between routes, potentially leaving unwell individuals in residential zones with limited access to timely care.

Public bureaucracy finds itself in a strange place at the intersection of political science and public administration. Political science finds that, within representative democracy, discretion granted to bureaucrats threatens the nature of democracy by subverting politicians who represent the will of the people – bureaucracy vs democracy. At the same time, public administration holds that, in the interest of promoting democracy, bureaucracy should be objective in its implementation of policy in a way that eliminates the influence of politics from decision-making – politics vs bureaucracy. Those positions are seemingly contradictory in nature. From one perspective, bureaucracy is undemocratic because it is outside of politics, yet an overreach of politics into the bureaucracy yields undemocratic outcomes. Bureaucracy can facilitate democracy outside of politics. This study looks to empirically test whether local bureaucrats, who should be willing to act in-line with influential co-partisans, might still promote democratic outcomes for their constituents with their discretionary decision-making. Florida provides an empirical backdrop for testing bureaucracy’s impact on democracy with a natural experimental scenario created with the passing of new early voting limitations in 2011. Florida’s Republican (R) lawmakers passed House Bill 1355 (HB 1355), which was signed into law by Governor Scott (R), that dramatically limited the early voting days allowed for federal elections. HB 1355 changed the early voting (EV) period from fourteen (14) days to eight (8) days and eliminated the last Sunday before Election Day as well. The move was widely seen as a political calculation aimed at stifling the participation of Democrats in the 2012 General Election. In seeming lockstep, local Supervisors of Elections (SOEs) from both parties utilized their statutory discretion over the location of early voting sites to alter the distribution of sites before the 2012 General Election. I find that Republican SOEs did not distribute early voting locations in a way that negatively impacted early voting participation rates (EVPR) for their local precincts. Furthermore, I find that, all else equal, their decisions did not statistically impact EVPR differently than the EVPR in communities managed by Democrats. Republican SOEs did not add new costs to voters in their communities. I provide new evidence that demonstrates that bureaucrats can indeed limit the impact of undue politics from their influential co-partisans to promote more democratic outcomes.

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.

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.

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.

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.