Group01 Proposal
Data Source and Overview
Our project uses data from published tender notice on the National Environmental Agency 's website as well as information retrieved various publicly available and personal sources. The metadata table of our main working file is shown below.
Special credits to Prof. Kam Tin Seong for providing us a list of geocoded HDB postal code as one of our parameters for the project.
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References
Brunsdon, C. (2015, August 18). Geographically Weighted Regression. Retrieved from RPubs.
Brunsdon, C. (2015, Aug 10). Geographically Weighted Summary Statistics. Retrieved from RPubs.
Dennett, A. (2014, November 17). An Introduction to Geographically Weighted Regression in R. Retrieved from RPubs.
Gollini, I., Lu, B., Charlton, M., Brunsdon, C., & Harris, P. (2015). GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models. JournalofStatisticalSoftware.
Lu, B. (2018, 08 20). Geographically-Weighted Models. Retrieved from Package GWmodel: http://gwr.maynoothuniversity.ie/
Tendered Notice. (2018). Retrieved from The National Environmental Agency: https://www.nea.gov.sg/corporate-functions/resources/tender-notices