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Title:Location matters: Geospatial policy analytics over time for household hazardous waste collection in California
Author(s):Lim-Wavde, Kustini; Kauffman, Robert J.; Kam, Tin Seong; Dawson, Gregory S.
Subject(s):Choropleth mapping
Geospatial policy analytics
Geographic weighted regression
Household hazardous waste
Waste management
Abstract:By integrating mapping and geospatial data into a county-level dataset for exploratory analysis, we will demonstrate how to provide useful insights for waste managers and local governments regarding spatial patterns of household hazardous waste (HHW) collection and how it changes over time. We use map-based visualization to display patterns of spatial intensity and county locations for HHW collection in California from 2004 to 2015. We use exploratory spatial data analytics methods to characterize the spatial distribution of HHW collected per person. When we considered the spatial relationships, we were able to develop and estimate a geographically-weighted regression to explain how different regional factors influence the amount of HHW collected. These factors include demographic characteristics, HHW management policy instruments, and environmental quality enforcement and consideration of these factors are necessary to create a successful recycling program.
Issue Date:2017
Publisher:iSchools
Citation Info:Lim-Wavde, K., Kauffman, R. J., Kam, T. S., & Dawson, G. S. (2017). Location Matters: Geospatial Policy Analytics over Time for Household Hazardous Waste Collection in California. In iConference 2017 Proceedings (pp. 13–27). https://doi.org/10.9776/17003
Series/Report:iConference 2017 Proceedings
Genre:Conference Paper/Presentation
Type:Text
Language:English
URI:http://hdl.handle.net/2142/96678
DOI:https://doi.org/10.9776/17003
Rights Information:Copyright 2017 Kustini Lim-Wavde, Robert J. Kauffman, Tin Seong Kam, and Gregory S. Dawson
Date Available in IDEALS:2017-07-27


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