Predicting lead water service lateral locations geospatial data science in support of municipal programming

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Bibliographische Detailangaben
Veröffentlicht in:	Socio-economic planning sciences
1. Verfasser:	Hajiseyedjavadi, Seyedsaeed (VerfasserIn)
Weitere Verfasser:	Karimi, Hassan A. (VerfasserIn), Blackhurst, Michael (VerfasserIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	2022
Schlagworte:	Drinking water > Lead contamination > Machine learning > Aufsatz in Zeitschrift
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Titel	Jahr	Band
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Decision-making for environmental sustainability	2021	volume 75 (June 2021)
Multi-criteria decision making for public sector management : bridging the gap between theory and practice	2019	volume 68 (December 2019)
Special issue: recent developments on the use of DEA in the public sector	2018	volume 61 (March 2018)
Special issue: digital support tools for smart cities	2017	volume 58 (June 2017)
Special issue: Social network modeling	2016	volume 56 (December 2016)
Special issue: Location analysis for public sector decision-making in uncertain times	2016	volume 53, March 2016
Special issue: Date envelopment analysis in the public sector	2014	48.2014,1
Special issue: Modeling public sector facility location problems	2012	46.2012,2
Special issue: Disaster planning and logistics Pt. 2	2012	46.2012,4
Special issue: Health care modelling	2012	47.2013,3
Special issue: Disaster planning and logistics Pt. 1	2012	46.2012,1
Special issue: The contributions of Charles S. ReVelle	2009	43.2009,2