Conference Proceeding Article
By integrating mapping and geospatial data into a county-level datasetfor exploratory analysis, we will demonstrate how to provide useful insightsfor waste managers and local governments regarding spatial patterns ofhousehold hazardous waste (HHW) collection and how it changes over time. We usemap-based visualization to display patterns of spatial intensity and countylocations for HHW collection in California from 2004 to 2015. We use exploratory spatial data analyticsmethods to characterize the spatial distribution of HHW collected per person.When we considered the spatial relationships, we were able to develop andestimate a geographically-weighted regression to explain how different regionalfactors influence the amount of HHW collected. These factors includedemographic characteristics, HHW management policy instruments, andenvironmental quality enforcement and consideration of these factors isnecessary to create a successful recycling program.
Choropleth Mapping, Geospatial Policy Analytics, Geographic Weighted Regression, Household Hazardous Waste, Waste Management
Computer Sciences | Environmental Sciences | Management Information Systems
Information Systems and Management
iConference 2017: Proceedings, Wuhan, China, March 22-25
City or Country
University of Illinois
LIM-WAVDE, Kustini; KAUFFMAN, Robert John; KAM, Tin Seong; and DAWSON, Gregory S..
Location matters: Geospatial policy analytics over time for household hazardous waste collection in California. (2017). iConference 2017: Proceedings, Wuhan, China, March 22-25. 13-27. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3686
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