Difference between revisions of "Project Groups"

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Revision as of 18:30, 10 June 2018

Vaa1.jpg ISSS608 Visual Analytics and Applications

About

Weekly Session

Assignments

Visual Analytics Project

Course Resources

 


Project Groups

Please change Your Team name to your project topic and change student name to your own name

Project Team Project Title/Description Project Artifacts Project Member

Project title: Provide eyes catching title. However, it should reflect the content or/and the focus of your project

Abstract

The abstract should not be more than 350 words.

  • Member 1
  • Member 2
  • Member 3

Project title

Abstract

  • Member 1
  • Member 2
  • Member 3

Project title

Abstract

  • Member 1
  • Member 2
  • Member 3

Project title

Abstract

  • Member 1
  • Member 2
  • Member 3

Project title

Abstract

  • Member 1
  • Member 2
  • Member 3

Exploring Inequality’s Geographic Dimension Across Neighbourhoods in Singapore: Its Driving Forces & Touch Points

Amidst the recent debate over growing social inequality in Singapore such as the distinct clustering of elite schools and varying access to resources, the dangers of hardening social mobility can pose as a threat for a culturally diverse nation that has upheld its values of social cohesion and racial harmony. In bridging social divide, Singapore has put in place various programmes in the community and schools to nurture shared experiences and promote inter-communities mixing. More recently however, inequality was highlighted to have a geographic dimension even for a densely populated city like Singapore.

Using geospatial techniques in R, the dashboard serves to visualise whether geography is an important driver of inequality, by mapping the extent of social inequality and availability of common spaces across neighbourhoods. This will be done in three approaches. First, we will analyse whether there exist clusters that could point towards social inequality and whether this is more pronounced in certain neighbourhoods, based on ethnic mix, age composition, and housing type. This will be done using spatial points pattern analysis including distance-based and density-based measures. Next, using the Hansen Accessibility Model, we will map out the available touch points within neighbourhoods that could facilitate social mixing, such as the ease of access to common spaces, amenities and opportunities for choice of education. This is because an important aspect of social inequality is having reasonably fair access to different resources. Lastly, we will move into solutioning and explore possible spaces such as vacant state land where upcoming public amenities can be best placed to optimise social class mixing.

  • CHAN EN YING GRACE
  • LIU YUQING
  • LIU YUANJING

Project title

Abstract

  • Zhang Yingdi
  • Fu Chuanjie
  • Wang Runyu

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  • Member 1
  • Member 2
  • Member 3

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  • Low Zhi Wei
  • Shi Chen
  • Yi Xiaoqin

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Abstract

  • Member 1
  • Member 2
  • Member 3

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  • Kaushik Jaganathan
  • Priyadarsan Shankar
  • Song Xuejing

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Abstract

  • Member 1
  • Member 2
  • Member 3

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Abstract

  • Sudhir Panda
  • Lokesh Vairamuthu
  • Sameer Panda

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  • Member 1
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  • Member 3

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