Matching Items (42)

Understanding Your City’s Heat Islands: Overview and Key Considerations

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Presentation by David Sailor, professor in the School of Geographical Sciences and Urban Planning and director of the Urban Climate Research Center at ASU. Sailer's presentation addresses how to define

Presentation by David Sailor, professor in the School of Geographical Sciences and Urban Planning and director of the Urban Climate Research Center at ASU. Sailer's presentation addresses how to define urban heat islands (UHI), and decisions about why and how to measure these complex ecosystems.

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  • 2017-09-07

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Relationship Between College Baseball Conferences and Average Offensive Production of Major League Baseball Players

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Beginning with the publication of Moneyball by Michael Lewis in 2003, the use of sabermetrics \u2014 the application of statistical analysis to baseball records - has exploded in major league

Beginning with the publication of Moneyball by Michael Lewis in 2003, the use of sabermetrics \u2014 the application of statistical analysis to baseball records - has exploded in major league front offices. Executives Billy Beane, Paul DePoedesta, and Theo Epstein are notable figures that have been successful in incorporating sabermetrics to their team's philosophy, resulting in playoff appearances and championship success. The competitive market of baseball, once dominated by the collusion of owners, now promotes innovative thought to analytically develop competitive advantages. The tiered economic payrolls of Major League Baseball (MLB) has created an environment in which large-market teams are capable of "buying" championships through the acquisition of the best available talent in free agency, and small-market teams are pushed to "build" championships through the drafting and systematic farming of high-school and college level players. The use of sabermetrics promotes both models of success \u2014 buying and building \u2014 by unbiasedly determining a player's productivity. The objective of this paper is to develop a regression-based predictive model that can be used by Majors League Baseball teams to forecast the MLB career average offensive performance of college baseball players from specific conferences. The development of this model required multiple tasks: I. Data was obtained from The Baseball Cube, a baseball records database providing both College and MLB data. II. Modifications to the data were applied to adjust for year-to-year formatting, a missing variable for seasons played, the presence of missing values, and to correct league identifiers. III. Evaluation of multiple offensive productivity models capable of handling the obtained dataset and regression forecasting technique. IV. SAS software was used to create the regression models and analyze the residuals for any irregularities or normality violations. The results of this paper find that there is a relationship between Division 1 collegiate baseball conferences and average career offensive productivity in Major Leagues Baseball, with the SEC having the most accurate reflection of performance.

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  • 2017-05

Digging into National Park Funding: An Analysis of Selected Projects in Yellowstone and Isle Royale

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With 2016 marking the 100th Anniversary of the National Park Service (NPS), important discussions regarding the future of America's beloved parks and respective government funding must take place. Imagine all

With 2016 marking the 100th Anniversary of the National Park Service (NPS), important discussions regarding the future of America's beloved parks and respective government funding must take place. Imagine all the money, including tax revenue, flowing through America's national parks system, and where is that money destined for in the future? National park funding will factor greatly into determining the future of America's NPS and individual parks. Therefore, it is imperative to investigate where and how government funding, for the present and future, is distributed throughout the parks protected under the NPS. Through personal experiences as a child, national parks consistently provide a unique exposure to and an education of the natural world, which are rare finds when growing up in suburban or metropolitan regions. Narrowing down, this analysis will focus on government disbursements to Yellowstone National Park (Yellowstone) and Isle Royale National Park (Isle Royale) with specifics on two budgeted projects crucial to park survival. Yellowstone and Isle Royale each request funding for a project crucial to the park's ecosystem and a project intended to improve guest services for visitors. Closing comments will provide recommendations for Yellowstone, Isle Royale and the NPS, including effects of President Trump's 2018 Government Proposed Budget, in an attempt to offer forward thinking about national parks. The projects and respective funding as detailed in this analysis have a forward-thinking focus as other projects included in the NPS requested funding budgets consider as well. Current actions and efforts are crucial to the long-term life and of this country's national parks for future generations to come.

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Date Created
  • 2016-12

The Value of Wins: The Remunerative Impact of Sustained Consistency in Professional Sports

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This paper is intended to identify a correlation between the winning percentage of sports teams in the four major professional sports leagues in the United States and the GDP per

This paper is intended to identify a correlation between the winning percentage of sports teams in the four major professional sports leagues in the United States and the GDP per capita of their respective cities. We initially compiled fifteen years of franchise performance along with economic data from the Federal Reserve Bank of St. Louis to analyze this relationship. After converting the data into a language recognized by Stata, the regression tool we used, we ran multiple regressions to find relevant correlations based off of our inputs. This paper will show the value of the economic impact of strong or weak performance throughout various economic cycles through data analysis and conclusions drawn from the results of the regression analysis.

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  • 2017-12

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LGBT Recognition in Arizona: A Honnethian Analysis of Gay Rights in Arizona's Recent History

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Although significant progress has been made in terms of LGBT rights in the United States, the topic has still remained one of the most prevalent and divisive issues in recent

Although significant progress has been made in terms of LGBT rights in the United States, the topic has still remained one of the most prevalent and divisive issues in recent history. In Arizona, this prevalence and divisiveness has been illustrated through the state's civil rights and legislative history. Additionally, the importance of this issue is highlighted by the incidents of discrimination and bullying towards LGBT students in Arizona's schools. With this in mind, it was critical to conduct an exploratory historical analysis of LGBT rights in Arizona to better understand the recent history and current climate towards the LGBT community in the state. To explore this issue, the data consisted of reports on the fiscal impact of adopting LGBT-friendly policies, reports on LGBT health and well-being, reports on the school climate, court cases, pieces of legislation, opinion polls, news articles, and opinion pieces. This data on LGBT rights in Arizona was then codified, summarized, and analyzed using Axel Honneth's theory of recognition. Through the application of Honneth's theory to the data, it was possible to examine the history of recognition and misrecognition towards the LGBT community in Arizona. In total, there were six identifiable areas that emerged in which recognition and misrecognition exists: LGBT identity and well-being, marriage recognition, LGBT youth, rights and partner benefits, allies of the LGBT community, and opponents of LGBT rights. This project examined those areas through the lens of Arizona's history and provides insights into the current status of LGBT rights in Arizona.

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  • 2016-05

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A Comparative Analysis of Indoor and Greenhouse Cannabis Cultivation Systems

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In A Comparative Analysis of Indoor and Greenhouse Cannabis Cultivation Systems, the two most common systems for commercial cannabis cultivation are compared using an operational and capital expenditure model combined

In A Comparative Analysis of Indoor and Greenhouse Cannabis Cultivation Systems, the two most common systems for commercial cannabis cultivation are compared using an operational and capital expenditure model combined with a collection of relevant industry sources to ascertain conclusions about the two systems' relative competitiveness. The cannabis industry is one of the fastest growing nascent industries in the United States, and, as it evolves into a mature market, it will require more sophisticated considerations of resource deployment in order to maximize efficiency and maintain competitive advantage. Through drawing on leading assumptions by industry experts, we constructed a model of each system to demonstrate the dynamics of typical capital deployment and cost flow in each system. The systems are remarkably similar in many respects, with notable reductions in construction costs, electrical costs, and debt servicing for greenhouses. Although the differences are somewhat particular, they make up a large portion of the total costs and capital expenditures, causing a marked separation between the two systems in their attractiveness to operators. Besides financial efficiency, we examined quality control, security, and historical norms as relevant considerations for cannabis decision makers, using industry sources to reach conclusions about the validity of each of these concerns as a reason for resistance to implementation of greenhouse systems. In our opinion, these points of contention will become less pertinent with the technological and legislative changes surrounding market maturation. When taking into account the total mix of information, we conclude that the greenhouse system is positioned to become the preeminent method of production for future commercial cannabis cultivators.

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  • 2016-05

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An Analysis of Arizona's Prisons: Factors that Impact Recidivism

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This project examines the effectiveness and key performance indicators of state prisons across the country in order to establish how Arizona’s prisons compare. Variables such as the daily inmate cost,

This project examines the effectiveness and key performance indicators of state prisons across the country in order to establish how Arizona’s prisons compare. Variables such as the daily inmate cost, annual budget, and the percentage of the budget spent on healthcare are all examined for a measurable impact on recidivism rate, which is the rate at which individuals released from prison re-offend and return to prison. The findings and next steps for the correctional industry are slightly controversial but will prove effective in improving the industry.

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  • 2020-05

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An Economics Analysis of Sports Stadiums in the National Football League

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This paper intends to analyze the National Football League (NFL) and the role stadiums play within it. The NFL, being the nation's largest professional sports league, has experienced a large

This paper intends to analyze the National Football League (NFL) and the role stadiums play within it. The NFL, being the nation's largest professional sports league, has experienced a large amount of volatility over the past couple of decades. Teams have relocated a significant number of times and stadium projects have grown in size, cost, and frequency. Because of these observations, we chose to focus in on this particular sports league in order to answer our many questions surrounding the role of a professional sports stadium in the economics of a city. We seek to understand the economics these sports stadiums impact on the league and the cities they reside in. To do this, we compiled data of NFL franchise wins, average ticket prices, stadiums, and franchise values, while researching the stadium building process and referencing the opinions of leading sports economists across the nation. Next, we discussed the process of building a stadium, which entails the core steps of design, construction, cost, and funding. We discuss tax-exempt municipal bonds, and explain what an impact economic analysis is and how teams use them to get cities to support their projects. Moreover, we discuss the threats of relocation and how the NFL can exert pressure on stadium project decisions. Finally, we talk about the future of the NFL, with a new trend of empty stadiums and make predictions for upcoming relocation destinations. Based on these findings, we draw conclusions on the economics of sports stadiums and offer our opinion on the current state of the NFL.

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  • 2018-05

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FastStat: Online Statistics Calculator

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FastStat is a responsive website designed to work on any handheld, laptop, or desktop device. It serves as a first step into statistical calculations, educating the user on the basics

FastStat is a responsive website designed to work on any handheld, laptop, or desktop device. It serves as a first step into statistical calculations, educating the user on the basics of statistical analysis, and guiding them as they perform analyses of their own using built-in calculators. The calculators available can perform z tests, t tests, chi square tests, and analysis of variance tests to determine significant characteristics of the user's data. Outputted data includes means, standard deviations, significance levels, applicable statistics, and worded results indicating the outcome of the performed test. With its clean design, FastStat directs the user in an intuitive manner to fill in the information needed, giving clear indications of what types of values are needed where and flagging descriptive error messages if any inputted values are incorrect. FastStat also implements a halt to calculations if any errors are found, which saves time by avoiding impossible calculations. Once complete, FastStat outputs a variety of information of use to the user in a clearly labeled manner. The calculators are designed in such a way that the user will know what information they will get out of the calculator before performing any calculations at all. Aside from the calculators, FastStat includes introductory pages designed to get users familiar with common statistical terms and the associated tests, solidifying its purpose as an introductory tool. All tests are described by their typical uses, necessary inputs, calculated outputs, and extra notes of importance. Many terms are defined for the purpose of statistics, complete with examples to help educate the user on the concepts. With the information available, even the newest statistician can learn and begin performing tests almost immediately.

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  • 2018-12

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Bayesian Hierarchical Model for Testing Allele Specific Expression Towards the Alternative Allele

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Identifying associations between genotypes and gene expression levels using next-generation technology has enabled systematic interrogation of regulatory variation underlying complex phenotypes. Understanding the source of expression variation has important implications

Identifying associations between genotypes and gene expression levels using next-generation technology has enabled systematic interrogation of regulatory variation underlying complex phenotypes. Understanding the source of expression variation has important implications for disease susceptibility, phenotypic diversity, and adaptation (Main, 2009). Interest in the existence of allele-specific expression in autosomal genes evolved with the increased awareness of the important role that variation in non-coding DNA sequences can play in determining phenotypic diversity, and the essential role parent-of-origin expression has in early development (Knight, 2004). As new implications of high-throughput sequencing are conceived, it is becoming increasingly important to develop statistical methods tailored to large and formidably complex data sets in order to maximize the biological insights derived from next-generation sequencing experiments. Here, a Bayesian hierarchical probability model based on the beta-binomial distribution is proposed as a possible approach for quantifying allele-specific expression from whole genome (WGS) and whole transcriptome (RNA-seq) data. Pipeline for the analysis of WGS and RNA-seq data sets from ten samples was developed and implemented, while allele-specific expression (ASE) was quantified from both haplotypes using individuals heterozygous at the tested variants utilizing the described methodology. Both computational and statistical framework applied accurately quantified ASE, achieving high reproducibility of already described allele-specific genes in the literature. In conclusion, described methodology provides a solid starting point for quantifying allele specific expression across whole genomes.

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  • 2012-12