Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- File Type
Articles 1 - 2 of 2
Full-Text Articles in Physical Sciences and Mathematics
Modeling Park Visitation Using Transformations Of Distance-Type Predictor Variables With Lasso, Ashley Hall
Modeling Park Visitation Using Transformations Of Distance-Type Predictor Variables With Lasso, Ashley Hall
Scholars Week
We examine three common transformations (identity, fourth-root, and log) to determine the most suitable transformation for evaluating the importance of certain common features surrounding the Twin Cities Metropolitan Area (TCMA) city parks on park visitation. The distances between these features and city parks are approximately exponentially distributed by noting that their relative locations closely follow the spatial Poisson process. Because a fourth-root transformation improves the normality of exponential random variables, we verify that the fourth-root transformation is considered best by comparing correlation coefficients of the fourth-rooted data to the untransformed and log-transformed data via simulation. Using the TCMA city parks …
Modeling Distances Between Various Attractions And Nearest City Parks Using Exponential Distribution, Ashley Hall
Modeling Distances Between Various Attractions And Nearest City Parks Using Exponential Distribution, Ashley Hall
Scholars Week
We examine the park data in Twin Cities Metropolitan Area (TCMA) to understand the distances between various attractions (water features, transit stops, bike paths, sport fields, etc.) and nearest city parks. We verify our research hypothesis that these distance variables are exponentially distributed using histograms and chi-squared goodness-of-fit test. Our findings suggest that most of the distance variables are indeed exponentially distributed except the one that measures the distance between the metropolitan area and the nearest city parks. Based on that, we further hypothesize that the locations of the various attractions relative to the nearest city parks follow the spatial …