Spatial Statistics, Part 3: Description & Prediction

February 16, 4:00pm - 5:30pm

For GIS users: develop the skills and knowledge necessary to analyze, interpret, and present spatial data competently in order to support research or offer statistical advice to students or colleagues. (Times EST)

Delivered online in our virtual auditorium
Program Description

Exploratory data analysis and description is central to prediction and simulation in any geospatial application. However, these practices require a particular understanding of spatial statistics and software that can be intimidating, even to seasoned GIS professionals. In response to requests from our geospatial community, NITLE has designed this virtual workshop series in spatial statistics to provide cost-effective, professional training tailored to the needs of liberal arts faculty and staff.

Meeting weekly for five consecutive weeks, participants will learn about:

  • Principles, pitfalls, and fallacies of spatial statistics
  • Exploratory spatial data analysis
  • Data description and prediction
  • Hypothesis testing and simulation

This format will enable participants to identify circumstances when spatial problems necessitate formal testing and to develop strategies to select appropriate statistical methods on a case-by-case basis. Attention will be given to understanding issues of proximity, scale, and digital representation in relation to statistical design and data interpretation. Participants will also learn how simulation, Monte-Carlo methods, and hypothesis testing inter-relate while gaining familiarity with software to support these analyses. Time for project consultation and development will provide participants additional opportunity to seek advice on statistical questions as related to their individual interests and needs.

Prerequisites

A basic understanding of statistics or earlier exposure to statistical techniques will help participants benefit from this event.

Registration

Please register for this five-part event by sending an e-mail to participate@nitle.org. Event sessions will take place on February 2, 9, 16, and 23, and March 2.

Network participant fee (early registration by January 22): $360
Network participant fee (after January 22): $375
Out-of-Network participant fee: $487.50

Questions?

For more information about this event, including its agenda and what to expect from participation, please contact Sean Connin at sconnin@nitle.org.