Conference Agenda
The conference agenda provides an overview and details of sessions. In order to view sessions on a specific day or for a certain room, please select an appropriate date or room link. You may also select a session to explore available abstracts and download papers and presentations.
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Session Overview |
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01-08: Methodological approaches to urban property valuation
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ID: 470
/ 01-08: 1
Individual Papers Topics: Urban expansion, land use, land value capture, and housing Keywords: Property tax, efficiency, administration, self-declaration Self-declaration of value: an option for the urban property tax 1African Tax Institute, University of Pretoria, Pretoria, South Africa; 2School of the Built Environment, University of Ulster, N. Ireland, UK
ID: 813
/ 01-08: 2
Individual Papers Topics: New ways of land data capture & analysis (incl. machine learning) Keywords: valuation, property tax, appraisal, gis, spatial Valuing property with bad data: utilizing GIS and spatial modeling to achieve equitable property tax valuations in the face of incomplete data 1IAAO; 2Esri
ID: 992
/ 01-08: 3
Individual Papers Topics: New ways of land data capture & analysis (incl. machine learning) Keywords: mass appraisal, response surface analysis, sparse data, modelling Response surface analysis (RSA): modeling values in geographically sparse markets 1African Tax Institute, University of Pretoria, Pretoria, South Africa; 2International Association of Assessing Officers, Kansas, United States; 3School of the Built Environment, University of Ulster, N. Ireland, UK
ID: 1012
/ 01-08: 4
Individual Papers Topics: New ways of land data capture & analysis (incl. machine learning) Keywords: mass valuation, property taxation, land value, land markets, spatial interpolation Standard price points in spatial interpolation. A case study National Land Survey, Finland
ID: 1329
/ 01-08: 6
Individual Papers Topics: New ways of land data capture & analysis (incl. machine learning) Keywords: property valuation, machine learning, remote sensing Using remote sensing data and machine learning to value property in Kigali, Rwanda 1German Aerospace Center; 2International Growth Centre, Rwanda; 3University of Tübingen; 4Ministry of Economic and Financial Planning, Rwanda; 5Carnegie Mellon University
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