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IPM GIS Mapping: A Tale of Rats and Maps
NEHA 2014 AEC ConventionLas Vegas, NevadaJuly 10th, 2014
Joshua D. Witt, REHSEnvironmental Health Program ManagerUCLA Office of Environment, Health & Safety
www.ehs.ucla.edu
UCLA
Founded
StudentsFaculty & Academic StaffStaff PersonnelTotal Campus PopulationAcresPeople/AcreNumber of UC CampusesUCLA Population Density
1919
41,341
10,875
31,262
83,478
419
199.2
10
#1
Our assumptions
• UCLA will always have a baseline population of rodents due to the following factors:
www.ehs.ucla.edu
Bait station analysis
• Sections include:– Building name– Bait station
number– Location– Status/condition
• Media– Pictures–Map of station
status
www.ehs.ucla.edu
2008 2009 2010 2011 2012 20130
50
100
150
200
Nu
mb
er
of
Rod
en
t R
ep
ort
sNumber of rodent reports
-67%
Average 2009-2013: 59.6
2008: 181
Year
www.ehs.ucla.edu
In short:
• Where should we reallocate our rodent bait stations and focus our IPM energy to prevent rodent infestations?
www.ehs.ucla.edu
What does GIS mean to us?• Our working definition is: Addressing a complex
problem using intersecting information to create solutions
www.ehs.ucla.edu
What are our overarching goals?• Optimize our bait station placement to
reduce unnecessary rodenticide
• Demonstrate the viability and usefulness of the GIS project to:– Improve campus Integrated Pest
Management– Increase stakeholder focus and cooperation– Advocate for situation-appropriate resources
www.ehs.ucla.edu
How did we do it?
• Program used: ESRI ArcGIS version 10.1– To be compatible with UCLA GIS-users
–Why is that important?• We need their data and…
Which buildings are serviced by EH&S?
• 116/265 buildings (~44%)
• We do not service medical center or housing business units
Age of Building
• Demarcated by 10 year increments
• Shows susceptibility to rodent penetration
• Oldest currently existing building built in 1921
www.ehs.ucla.edu
Solution: Suitability Model• A model that weights locations relative
to each other based on given criteria
• Suitability models might aid in finding a favorable location for a new facility, road, or habitat for a species of bird
• Basically, suitability models “put it all together”
www.ehs.ucla.edu
Suitability Model: How we weighted our factors
1. Rodent Report Locations: 30%2. Trash Cans: 20%3. Building Age: 10%4. Food (facilities + dining areas):
10%5. Ivy: 10%6. Loading Docks: 10%7. Vending Machines: 10%
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Credits
• Credit for project management and creating the GIS maps goes to Alan Chen, MPH and Airalee E. Rivera
• Special thanks to Jennie Wung, REHS