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- All Subjects: social equity
- Creators: Mack, Elizabeth
- Creators: Dosier, Skyliana
Description
Research literature were reviewed regarding the land-use economic theory of bid-rent curves and the modern emergence of polycentric cities. Two independent Geographic Information System (GIS) analyses were completed to test the hypothesis that bid-rent methodology could be used to tease out trends in residential locations, and hence contribute to present-day urban planning efforts. Specifically, these analyses sought to address the relationships between place of work and place of residence in urban areas. A generalizable set of benchmarks for identifying urban employment centers were established for 10 study cities in the United States, and bid-rent curves were calculated under separate monocentric assumptions and polycentric assumptions. The results presented wide variations in real bid-rent curves that a) overall deviated dramatically from the hypothetical distribution of rent, and b) spoke to the unique residential patterns in individual U.S. cities. The implications of these variations were discussed with regard to equitable housing for marginalized groups and access to centers of employment.
ContributorsBochnovic, Michael Andrew (Author) / Mack, Elizabeth (Thesis advisor) / Pfeiffer, Deirdre (Committee member) / Rey, Sergio J (Committee member) / Arizona State University (Publisher)
Created2014
Description
Traditionally, visualization is one of the most important and commonly used methods of generating insight into large scale data. Particularly for spatiotemporal data, the translation of such data into a visual form allows users to quickly see patterns, explore summaries and relate domain knowledge about underlying geographical phenomena that would not be apparent in tabular form. However, several critical challenges arise when visualizing and exploring these large spatiotemporal datasets. While, the underlying geographical component of the data lends itself well to univariate visualization in the form of traditional cartographic representations (e.g., choropleth, isopleth, dasymetric maps), as the data becomes multivariate, cartographic representations become more complex. To simplify the visual representations, analytical methods such as clustering and feature extraction are often applied as part of the classification phase. The automatic classification can then be rendered onto a map; however, one common issue in data classification is that items near a classification boundary are often mislabeled.
This thesis explores methods to augment the automated spatial classification by utilizing interactive machine learning as part of the cluster creation step. First, this thesis explores the design space for spatiotemporal analysis through the development of a comprehensive data wrangling and exploratory data analysis platform. Second, this system is augmented with a novel method for evaluating the visual impact of edge cases for multivariate geographic projections. Finally, system features and functionality are demonstrated through a series of case studies, with key features including similarity analysis, multivariate clustering, and novel visual support for cluster comparison.
This thesis explores methods to augment the automated spatial classification by utilizing interactive machine learning as part of the cluster creation step. First, this thesis explores the design space for spatiotemporal analysis through the development of a comprehensive data wrangling and exploratory data analysis platform. Second, this system is augmented with a novel method for evaluating the visual impact of edge cases for multivariate geographic projections. Finally, system features and functionality are demonstrated through a series of case studies, with key features including similarity analysis, multivariate clustering, and novel visual support for cluster comparison.
ContributorsZhang, Yifan (Author) / Maciejewski, Ross (Thesis advisor) / Mack, Elizabeth (Committee member) / Liu, Huan (Committee member) / Davulcu, Hasan (Committee member) / Arizona State University (Publisher)
Created2016
Description
In universities, such as Arizona State, students are becoming homeless at an alarming rate. These homeless ASU students are often invisible, as seen through the lack of information on who they are and what resources the university has developed to help them. Typically, students arrive at university campuses with most of the resources required for them to pursue a degree. However, several economic factors such as unemployment or financial instability can impact these resources which influence students ability to stay enrolled in classes. This feature is reflected in the well understood concept of the starving student. Despite this paradigm, the fact remains that students under this stress are attending classes and are under financial stress to do so while being unable to meet their basic needs. These intertwined elements result in ASU students becoming exposed to cyclical needs-insecurities including homelessness.
Therefore, the team decided to develop a project called Sun Devils Together which addresses the needs of ASUs students facing homelessness and overall aims to help increase the accessibility of available resources through reducing the silo effect that occurs due to lack of communication between different departments and increases faculty, staff, and student awareness regarding the issue. In order to achieve this, the team has collaborated with the Assistant Dean of Students to produce a training module for ASU faculty, professional staff, and students. The team is contributing information to the creation of a new website that will have all the resources available to students in one place. In addition, the team will create a coded pamphlet with a map of resources that will be given out to different departments around campus that students may potentially reach out to for help while informing those departments regarding the existence of other departments that work towards the same cause.
Therefore, the team decided to develop a project called Sun Devils Together which addresses the needs of ASUs students facing homelessness and overall aims to help increase the accessibility of available resources through reducing the silo effect that occurs due to lack of communication between different departments and increases faculty, staff, and student awareness regarding the issue. In order to achieve this, the team has collaborated with the Assistant Dean of Students to produce a training module for ASU faculty, professional staff, and students. The team is contributing information to the creation of a new website that will have all the resources available to students in one place. In addition, the team will create a coded pamphlet with a map of resources that will be given out to different departments around campus that students may potentially reach out to for help while informing those departments regarding the existence of other departments that work towards the same cause.
ContributorsAbdul Rashid, Maryam (Writer of accompanying material) / Dosier, Skyliana (Writer of accompanying material) / Sanchez Marquez, Omar (Writer of accompanying material)
Created2020-05-13