Final

  • The final exam will be a team project on a topic selected by the team
  • The topic can either be a spatial analysis of an important and challenging data set or methodological work on topic in spatial statistics
  • The projects are to be done in groups of 2-3 chosen by the instructor with student input
  • They are to result in a thorough but concise, professional quality technical poster presentation

Project abstract due Wednesday, November 14 

  • These one-page proposals should list your team members and spell out briefly the main goals of the study, your basic approach, and the role of each team member
  • IMPORTANT: Pick a topic that interests you, but not something that you have already done!
  • This project need not be computationally expensive nor require a huge time investment in data collection, but it does need to show careful planning, good logic and the spatial analysis concepts discussed in the course
  • If you are having trouble identifying a topic, please see the instructor as soon as possible

Project report due Friday, December 14 at 8AM

  • The final product of the project will be a poster, which you should turn in to the instructor, present in class, and should include:
    • Motivation for studying this problem
    • A description of data and/or methods to be used
    • Discussion of the major findings
    • A statement of the implications of your study
    • A discussion of further questions raised by your study

Team average scores for these projects will be assigned following: 

  • Quality and novelty of the analysis and/or methodology, 60%
  • Professional appearance and clarity of the poster, 20%
  • Poster presentation, 20%

Groups: 

  • Alex, Anthony + Rebecca
  • Andrew, Marschall + Matt
  • Can, Yiming + Zun
  • Candace, Iris + Mohamed
  • Dason, Eunah + Won
  • Jingtian + Kevin
  • Heahter, Laura + Parker
  • Josh + Julia
  • Nick + James
  • Sohini + Suman
  • Wenli + Ziyi