Location matters: Geospatial policy analytics over time for household hazardous waste collection in California
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-b...
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| Main Authors: | , , , |
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| 格式: | text |
| 語言: | English |
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Institutional Knowledge at Singapore Management University
2017
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| 在線閱讀: | https://ink.library.smu.edu.sg/sis_research/3686 https://ink.library.smu.edu.sg/context/sis_research/article/4688/viewcontent/1.3_57_Lim_Wavde_Location_Matters.pdf |
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| 機構: | Singapore Management University |
| 語言: | English |
| 總結: | 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. |
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