Urban land value maps - a methodological approach

Land value maps are generally used in mass appraisal for\ud the determination of property taxes. In view of the complex\ud nature of property management processes, land value maps\ud may also serve a variety of purposes which are not dictated\ud by legal requirements. This study proposes a concept for the\ud development of a land value map which may be applied for\ud non-tax purposes. The proposed map was developed with the\ud use of statistical and geostatistical methods. A reference layer\ud corresponding to a representative property was developed,\ud and statistical models were used to determine coefficients that\ud adjust property value in view of its non-spatial attributes.\ud A theoretical concept was presented, and it was used to\ud develop a land value map for the city of Olsztyn in northeastern\ud Poland

Towards Increasing Residential Market Transparency: Mapping Local Housing Prices and Dynamics

This article attempts to use spatial maps as a way of presenting additional information about the phenomena occurring in the housing market. In our opinion, spatial maps may facilitate understanding and provide more detailed information, which undoubtedly should increase the transparency of the housing market. The study used 12,219 transactions of apartments in Poznań in the years 2013–2017. General principles of price visualization activity and housing market dynamics were established in this study. The map of prices may reflect the location values determined by the quality of the urban infrastructure, distance from specific locations, and environmental factors. Market activity maps reveal areas where the market is dynamically developing, while information on trends in the number of transactions and price changes may demonstrate the growing or declining attractiveness of areas. The research is based on a model of hedonic regression in the form of ordinary least squares (OLS), quantile regression (QR), and geographically weighted regression (GWR). The maps presented should increase the transparency of the residential market (e.g., by providing more detailed information). However, one should bear in mind the limitations in the use of these methods resulting from a small number of transactions in a thin market