A picture is worth a thousand words: Using GIS to motivate and

January 6, 2018 | Author: Anonymous | Category: Engineering & Technology, Computer Science, Computer Networks
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A picture is worth a thousand words: Using GIS to motivate and support your research Bill Buckingham PhD Candidate University of Wisconsin-Madison Applied Population Laboratory

Actually….

If a picture is worth a thousand words…then a map is worth a thousand pictures…



“Maps are like milk: their information is perishable, and it is wise to check the date.”

-Mark Monmonier

Let talk about Health and GIS…

GIS and Health  Determine

Geographic Distribution of

Disease  Analyze Spatial and Temporal Trends  Map Populations at Risk  Assess Resource Allocation  Plan and Target Interventions  Monitor diseases and interventions over time

GIS Techniques for Health  Geocoding  Interpolation  Integration

of Multiple Spatial Variables  Network Analysis to characterize access to assets and exposure to risk  MAPS!

Geography and Health  It’s

Not Just GIS

 Visualization  Google

and Maps

(esp. Google Maps!)

– Google Flu Trends (http://www.google.org/flutrends)

Safe Routes

Patient Analysis

Patient Analysis

Participatory Photo Mapping

Geographic Sample Frame Production for Health Research

Big Issues in GIS and Health  Geocoding,

Privacy and Human Subjects

– Geocoding is too fine for public presentation – Aggregate these data to the smallest possible unit – Mask data for display

Geocoding – What is it exactly?

A Case Study application in Public Health



Questions before we start down this aside?

Can Qualitative Spatial Representations help unwrap the multi-layered puzzle?

But where does our target population reside? 

Geocoded Births from 1990-2009



Calculation of Index of Deprivation after Messer et al(2006)



Principle Components Analysis of eight Census Variables:

Variables Percent of Population in Crowded Housing  Percent of Pop with Management Positions (protective)  Percent of Pop with a less than HS Education  Percent of Pop making less than $30,000  Percent in Poverty  Percent using Public Assistance  Percent Unemployed 

Does the map make sense?

Variables Percent of Population in Crowded Housing  Percent of Pop with Management Positions (protective)  Percent of Pop with a less than HS Education  Percent of Pop making less than $30,000  Percent in Poverty  Percent using Public Assistance  Percent Unemployed 

How do we acquire data and what do we do once we have captured these data? 

Construction of a New Spatial Medium. – Enables capture through lightweight web interface. – Targets specific queries – Allows for free-form entry as well – Needs to load at the public library

System Goals Lightweight spatial data capture  Analysis tools – Qualitative Coding (after GT)  Simple Web-based Visualization  Export to shapefile for spatial statistics or GIS analysis (quantitative) 

GIS and Health  Diverse  Many

ways GIS can interface with Health

 What

about GIS and Pharmacy?

Data  Opportunities abound!



“Maps are like milk: their information is perishable, and it is wise to check the date.”

-Mark Monmonier

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