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Analysis of Age Structures Using Location Quotients and Geographically Weighted Regression (GWR)

November 26, 2014 to November 27, 2014

Host Organization:
Canadian Society for Epidemiology & Biostatistics (CSEB)


Alvin Simms PhD, Dept. of Geography, Memorial University



Online presentation with interactive discussion.



The objective of the webinar is to introduce the use of GIS as an exploratory analytical tool. In this instance the participants will examine the use of a location quotient (LQ) as a means of quantifying how concentrated a particular age cohort is in a region as compared to the province as a whole. In other words, it compares a smaller region (e.g. CSD) with a larger reference region (e.g. province). LQ is a relative measure where the LQ for an age cohort less than 1 means that the cohort concentration in a CSD is less than the provincial trend; a value equal to 1 indicates parity with the provincial trend and a value greater than 1 indicates that it is higher. For example a LQ value of 2 would suggest twice the concentration of the provincial trend. After calculating these values a GWR regression is performed to determine if the higher concentration values for the 0-4 cohort is more positively associated with the higher LQ values for 20-24 or the 25-39 age groups and whether is there is a spatial variation in the association whereby the relationships change for different areas of the province. The premise for this hypothesis is that the 20-24 generally attends secondary education institutions and start families later. However, is it possible that this pattern does not hold true for all areas within the province? How do population dynamics influence the location of health care facilities and service provides? 


Date & Times:

Part 1   12:00 - 3:00 PM EST on November 27, 2014

Part 2   12:00 - 3:00 PM EST on November 28, 2014


Registration Fees: 

Regular non-member       $175 + hst

Regular CSEB member   $75 + hst

Student non-member       $75 + hst

Student CSEB member   $25 + hst


For More Information and How to Register:

Please visit our website for more information.

Please use our online registration system to register for this course. 

Better research ... better decisions ... better health

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