Major 231: Spatial Analysis


January 16th-20th, 2017
Coordination: Cindy Padilla

Mapping is a useful and powerful tool to represent information which varies on a territory. It is particularly true in public health issues where health determinants are multiples and may be related to individual behavior and also to neighborhood factors which are not equally distributed in the space.
Detecting clusters grouping small areas at greater health risk tends to be a appropriate method to orientate public health action. An explanatory spatial analysis can then be applied assessing the relationship between the cluster and the neighborhood characteristics in order to reveal risk factors of the health event.

Course learning objectives

After completing this course, students will be able to:
– Map geographic data
– Create geographic datasets
– Conduct basic spatial analyses
– Apply GIS to several public health disciplines

Module Structure

Session 1
Day 1: Introduction to spatial analysis and working with geographic data
Monday January 18th, 10:00 – 12:00 am and 1.00 – 4.00 pm
Day 2: Spatial analysis data maps and spatial tools – computer lab (ArcGIS)
Tuesday January 19th, 9:00 -12:00 and 1:00 – 4:00 pm
Session 2
Day 3: Spatial statistics – computer lab (ArcGIS) and conference
Wednesday January 20th, 9:00 -12:00 and 1:00 – 4:00 pm
Day 4: Detection of a cluster – computer lab (ArcGIS and Satscan)
Thursday January 24th, 9:00 -12:00 and 1:00 – 4:00 pm
Session 3
Day 5: Critical lecture of spatial article and exam
Friday January 25th, 9:00 -12:00 and 1:00 – 4:00 pm

Citer ce billet
Bertrand Lefebvre (2017, 19 janvier). Major 231: Spatial Analysis. Ao-Seine. Consulté le 15 juin 2024, à l’adresse

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