Recent Submissions

  • Balk: A Geographic Analysis of the Impact of a New Professional Sports Stadium on Residential Real Estate Values in Minneapolis

    Luna, Marcos; Ratner, Keith; Krebs, Lorri; LaVerde, Anthony (2018-05)
    The City of Minneapolis, Minnesota and Hennepin County, Minnesota are among the many government entities that have committed taxpayer funds to finance a professional sports stadium. Both the city and county approved the financing of Target Field in 2007. The new stadium is now the home of the Minnesota Twins, a Major League Baseball franchise. Previous empirical studies have offered differing opinions on whether a new professional sports stadium has an effect on residential real estate values in the surrounding area. This thesis uses a geographically weighted regression (GWR) model to analyze the effect that Target Field had on residential real estate values in the City of Minneapolis, Minnesota. Using GWR analysis of a hedonic real estate price model, this thesis concludes that being close to Target Field had a significantly positive effect on residential real estate values in Minneapolis in 2016. However, when applying the same model to real estate sales data from a year prior to the approval of Target Field, properties in the vicinity of the location of the ballpark may have been more valuable before the ballpark was built then they were in the years that followed its opening.
  • Using Remote Sensing and GIS to Identify Magmatic Strain Accommodation: The Case Study of Mt Marsabit, Kenya

    Mana, Sara; Muirhead, James; Van Hazinga, Cora (2023)
    Previous research has demonstrated that the morphology and linear arrays of extrusive volcanic features indicate the presence and orientations of the magmatic constructs that feed them. In extensional tectonic environments, like the East African Rift (EAR), trends of these subsurface dikes can be controlled by inherited lithospheric structures or by the direction of applied stress. Mapping extrusive volcanic features with remote sensing allows for detailed geo-spatial analysis that can reveal valuable data regarding the state of stress in the region or the presence of pre-existing fractures and other lithospheric structures. Mt Marsabit, Kenya (2.32°N, 37.97°E) is a basaltic shield volcano located on the eastern edge of the Turkana Depression in Northern Kenya. The Turkana Depression is a topographical low area of extensional deformation linking the Main Ethiopian Rift (MER) and the Kenya Rift, characterized by a very thin rifted lithosphere (50-60 km; Fishwick, 2010; Kounoudis et al., 2021). While there is typically a predominant north-south orientation of structural and volcanic features in the EAR, some features in east Turkana (e.g. the Dilo-Durkana, Mega, and Hurri Hills volcanic fields) demonstrate superficial NE-SW trends, oblique to the main rift trend. The monogenetic volcanic field situated on Mt Marsabit is no exception and hosts hundreds of tuff cones and maar craters exhibiting an apparent NE-SW trend. The cause of these trends is so far unknown. Here we present data from the mapping and analysis of extrusive volcanic features on Mt Marsabit in an effort to improve our understanding of the tectonic and structural controls on crustal magma transport in this off-axis region of rifting. Analysis of the morphology of these features is performed in ArcGIS Pro while alignments of these features are analyzed in MATLAB. Previously published geological maps are also examined. This volcanic field exhibits a strong northeast-southwest trend in both morphology and linear arrays. Similar trends are observed in other volcanic fields in the eastern extent of the Turkana Depression. The obliquely oriented dikes in these fields may be a result of a combination of controls: en-echelon deformation zones associated with a component of strike-slip deformation; and a rotation of the local stress field.
  • Studying Land Cover Change In The Goviefe Todzi Sacred Forest, Volta Region Ghana

    Young, Stephen; Bremer, Madden (2020)
    Sacred natural sites can be defined as any place in nature possessing a unique spiritual significance to peoples and communities. Throughout the world, sacred natural sites support ecological biodiversity, provide habitat stepping stones, and play a crucial role in the continuation of traditional spiritual practices. These variables in combination create a unique biocultural landscape that warrants conservation and conversely, sacred sites offer a mode of conservation. This research examines land cover change within the Goviefe Todzi sacred forest, located in Ghana’s Volta region, using satellite imagery. We utilized techniques in digital image processing to generate land cover classification maps of the study area for 2012 and 2015. Land cover classifications of high resolution QuickBird-2 and WorldView-2 imagery informed the hypothesis that closed forest cover within the sacred site decreased at a lesser rate than neighboring non-sacred closed forest cover. The Global Forest Change dataset from the University of Maryland framed our understanding of how forest cover changes within the study area and how it fits into the global context of forest cover change. Results demonstrated that the Goviefe Todzi sacred forest exhibited less closed forest loss when compared to non-sacred forest and closed forest was most often converted to open forest in the event of a land cover change. We recognized that other factors such as accessibility to nearby settlements, pre-existing agricultural fields, the time span of the study, as well as the topography of the sacred forest may also contribute to its lack of closed forest loss.
  • Need for Greater Access to Language Services in Substance Abuse Treatment Facilities in the Commonwealth of Massachusetts

    Luna, Marcos; Castonguay, Meghan E. (2020)
    This research assesses the geographic access to drug treatment centers providing interpretation services for limited- or non-English speakers seeking drug or alcohol treatment in the Commonwealth of Massachusetts. Only 68% of the available treatment centers serve languages other than English. A lack of language services may contribute to rates of relapse. This research uses rasterized surface distance analysis, also known as Euclidean distance analysis, to measure the average straight-line distance from each Census tract in Massachusetts to available treatment centers. The results of the Euclidean distance demonstrate how access to treatment services varies for those who speak English less than “very well.” This research may potentially impact healthcare policy in the Commonwealth of Massachusetts by providing sound and necessary data for policymakers and other interested stakeholders to make practical decisions on providing language services for addiction treatment in the Commonwealth.
  • Testing Park Cool Island GIS Analysis Methods For Use In Semi-Urban Conservation Planning

    Luna, Marcos; Heacock, David (2020-01-01)
    The human and environmental impacts of urban heat islands (UHI) have become an increasingly relevant issue to city planners. This topic has spurred research into the relationships between land cover, ambient temperature, and the role of greenspace in emitting cooler air to its surrounding area, now known as the ‘park cool island’ effect (PCI). While ample research has been given to this phenomenon in dense urban areas, much less has been dedicated to semi-urban communities who may wish to inform their development practices as they expand their footprints. This research used satellite-derived Landsat Level-2 Provisional Surface Temperature data, MassGIS 2016 Land Cover / Land Use data, and MassGIS Standardized Assessors’ Parcels data to analyze parcels in Essex County, Massachusetts, for PCI intensity and the influence of land cover and parcel characteristics on PCI. LST data from July, 2016, were used to evaluate the mean temperature difference between parcels and their surrounding area to derive PCI. Replicating methods demonstrated by Cao et al. [Landscape and Urban Planning, 96(4):224-231 (2010)], linear regression analyses were undertaken to determine the relationships between PCI, parcel land cover and geometry. The 500 meter buffer distance used by Cao et al. to calculate PCI was also analyzed. Twenty iterations of the linear regression model were run based on a changing buffer value to calculate PCI. Two sensitivity analyses were performed based on these model iterations: 1) change in model performance, as expressed by its R2 value, across the range of PCI buffer distances and 2) the change in the coefficient strengths of the independent variables across the range of PCI buffer distances. The linear regression model underperformed as compared to Cao et al.’s study, however, it affirmed the 500 meter buffer distance as a parameter for calculating PCI, with that model iteration returning the highest R2 value (0.587). Buffer distances greater than 500 meters performed relatively well, however, smaller buffer values were associated with weak model performance. Among land cover coefficients, there were scale-sensitivities observed, with some variables changing in strength and polarity across the model iterations. It was determined that PCI could effectively evaluate cooling intensity in the study area, however, using it as a dependent variable within a linear regression model had only moderate performance. This was due to heterogeneity among the makeup of land cover within parcel buffer areas which inhibited the regression model’s ability to build consistent relationships between land cover and PCI.
  • Which Urban Residents Vote and Why? A Geospatial Analysis of Voting Behavior in Worcester, MA

    Ratner, Keith; Holbrook, John D. (2018-08-01)
    This study investigates the relationship between voter travel distance to polling places in Worcester, MA and voter turnout. Linear and geographically-weighted regression are used to evaluate the significance of travel distance and demographic control variables. Worcester appears to be unique when compared to previous studies investigating travel distance and voter turnout. Travel distance to polling place does not reliably predict voter turnout in Worcester, but vehicle ownership, race, and age do.
  • Improving Compactness Measures For Political Districts

    Luna, Marcos; Ratner, Keith; Strohschein, David; Hugenberger, Sarah (2019-05-01)
    Political redistricting plans often need to consider the compactness of the district’s shape. For states requiring districts to be compact, there is a need to quantify compactness. Existing measures of compactness unfairly penalize districts with coastlines and islands or whose geography itself is not compact. By incorporating information about the underlying geography into the calculation of a modified compactness score, it would be possible to use a compactness test more effectively and fairly across all districts. Several methods of incorporating such data were explored with test districts. A Python script was created to apply the calculations behind the selected method to any polygon shapefile. The script was run on the 436 districts of the 114th Congress of the United States to consider and analyze the modified compactness calculation and its usefulness. Scores for districts covering areas with a significant amount of water were improved when the modified compactness calculation was applied.