摘要：Among the limited sources of land price data in Canada, the Land Registry office, or Registry of Deeds, maintains the population of real estate transactions within their jurisdiction. However, Land Registry data do not permit simple extraction of vacant land prices, they lack neighbourhood and land use information required for analysis of the urban land market, plus the reported sale prices are not verified as fair-market transactions. In response, a geo-referenced database was built within an object-oriented geographic information system (GIS) in order to illustrate a spatial decision support system (SDSS) framework, which was developed to fuse land use and neighbourhood information to Land Registry data, extract sales of vacant land, and verify accurate price information. An illustration of this SDSS framework, using empirical data for Hamilton, Ontario, indicates this SDSS framework provides an effective method for cleansing Land Registry data, thereby improving access to vacant land price data.
关键词：Geographic information systems; decision support system; data cleansing; Land Registry data; vacant land.
