We currently offer three self paced courses and two best practices resource documents to support researchers in health geomatics and use of specialized statistical software.

Introduction to Applied Geospatial Skills for Spatial Epidemiology Course

This course provides pre-requisite skills for entrance into PHDA 04 Spatial Epidemiology and Outbreak Detection Course.

The goal of HGEO-106 is to help you gain confidence in working with GIS, especially as it pertains to key concepts in spatial epidemiology. The applied, hands-on focus provides you with a specialized learning experience of using GIS technology within a public health context. The course is focussed on the spatial nature of data, the tools and functions used to interact with spatial data, the relationships between spatial and non-spatial data, and the associated products that can be produced including maps, graphs, and statistics.  

Topics Covered include:

  • Exploratory Data Analysis
  • Spatial Exposure Assessment Tools
  • Spatial Autocorrelation Basics



This course provides an introduction to GIS and Epidemiology

 Topics covered include:

- Introduction to GIS platforms
- Components of GIS and Spatial Data
- Mapping Health Data Using GIS
- Information Sources and Data Structures

This course provides an Introduction to Spatial Epidemiology.

Topics include:

- Introduction to Spatial Epidemiology
- Spatial Health and Covariate Data in BC
- Grouped Data & Ecological Study Design
- Postal Codes:The Basis of Spatial Exposure Assessment
- Spatial Exposure Assessment: Principles and Limitations
- Bias, Confounding & Exposure Misclassification
- Advanced Techniques in Spatial Epidemiology

This course provides an introduction to Space-Time Disease Surveillance.

Topics include:

- Introduction & Basic Concepts
- Introduction to Surveillance
- Cluster Detection and Scan Statistics
- Data File Set-up and Getting Started
- Factors Affecting Space-Time Surveillance Methods

This resource document provides an overview of key analytical issues and best practices when mapping health data including:

  • Working with point data
  • Working with line data
  • Working with area data
  • Study area boundary and edge effects
  • Cartographic fundamentals

This resource document provides a review of case studies using freely available space-time disease surveillance software. Software packages have been categorized based on the level of user expertise required to run them.

           ● Basic
                ▪CrimeStat

           ● Intermediate
                ▪SaTScan
                 ▪GeoSurveillance
                 ▪ClusterSeer

           ● Advanced
                 ▪R-Surveillance
                 ▪R-DCluster