Monday, June 24

Spatial and Spatial Temporal Statistics: Modeling and Applications

An introduction to spatial statistics, covering various types of spatial data including discrete space and continuous space data.

By Drexel Urban Health Collaborative Summer Institute

Date and time

June 24 · 1pm - June 28 · 4pm EDT

Location

Drexel University Dornsife School of Public Health

Nesbitt Hall 3215 Market Street Philadelphia, PA 19104

Refund Policy

Contact the organizer to request a refund.

Eventbrite's fee is nonrefundable.

About this event

4 days 3 hours

Instructor: Aritra Halder, PhD, MS, Assistant Professor of Biostatistics, Dornsife School of Public Health

Dates: Monday, June 24 - Friday, June 28

Times: 1:00 p.m. - 4:00 p.m. EST

Format: In-person instruction

This course provides an introduction to spatial statistics. The course will cover various types of spatial data including discrete space and continuous space data and will compare/contrast the challenges encountered when analyzing these types of data. The course will cover standard and state-of-the-art methods from the statistical literature for modeling spatial data and delve into their motivations. Models will be fitted using a combination of code written from scratch and existing/freely-available software tools e.g., R, STAN etc.

Learning objectives:

Familiarity with different types of spatial data
Knowledge of spatial and spatiotemporal modeling approaches
Familiarity with software (BUGS, NIMBLE, CARBayes, INLA, spX etc.).
Building open-source user friendly software that focuses on spatial data ad applications.

Prerequisite knowledge: None

Technical requirements: R/R-Studio (Posit)

Continuing Education Credits*: 1.5 CEU or 15 CPH

Organized by

Drexel Urban Health Collaborative Summer Institute

The Drexel Urban Health Collaborative provides students, researchers, public health and allied health professionals with opportunities and tools to improve and understand health in cities. Registration is open to all. Please note that computer and internet access will be necessary for all courses.