Results 181 to 190 of about 798 (229)

Real estate valuation with multi-source image fusion and enhanced machine learning pipeline. [PDF]

PLoS One
Deng L.
europepmc   +1 more source

Cointegrations in house price dynamics and ageing population risks. [PDF]

PLoS One
Cheung WM.
europepmc   +1 more source

From cheap entertainment to expensive pleasure: Cinema-going habits and motivations of young people in Türkiye. [PDF]

PLoS One
Küçüksönmez N, Koçak A, Akçakaya N.   +2 more
europepmc   +1 more source

Assessment of land use change and carbon emission: A Log Mean Divisa (LMDI) approach. [PDF]

Heliyon
Wang L.
europepmc   +1 more source

Abstracts from the Globesync Community Research and Sustainability (GlobeCoReS 2024). [PDF]

BMC Proc
europepmc   +1 more source

Spatial Competition and Farm Tourism - A Hedonic Pricing Model

, 2008
Changes in EU agricultural policies towards additional focus on rural development issues raise questions regarding the economic impact of local/spatial competition. Traditionally, farmers have typically been price takers in markets for major agricultural products. This is, however, not necessarily true in the case of local markets for “new enterprises”.
Andersson, Hans, Hoffmann, Ruben, Andersson, Hans, Hoffmann, Ruben   +3 more
core   +4 more sources

A Spatial Bayesian Hedonic Pricing Model of Farmland Values

, 2008
In 1973, British Columbia created the Agricultural Land Reserve (ALR) to protect farmland from development. This study investigates whether the ALR has been effective near the city of Victoria. Therefore, we employ a GIS-based hedonic pricing model and quantify ALR specific measures. Bayesian Model Averaging in combination with Markov Chain Monte Carlo
Cotteleer, Geerte, Stobbe, Tracy, van Kooten, G. Cornelis   +2 more
core   +4 more sources

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Spatial econometrics and the hedonic pricing model: what about the temporal dimension?

Journal of Property Research, 2014
Recent ready access to free software and toolbox applications is directly impacting spatial econometric modelling when working with geolocated data. Spatial econometric models are valuable tools for taking into account the possible latent structure of the price determination process and ensuring that the coefficients estimated are unbiased and ...
Jean Dube, Diego Legros
exaly   +3 more sources

Area-to-point Kriging in spatial hedonic pricing models

Journal of Geographical Systems, 2009
This paper proposes a geostatistical hedonic price model in which the effects of location on house values are explicitly modeled. The proposed geostatistical approach, namely area-to-point Kriging with External Drift (A2PKED), can take into account spatial dependence and spatial heteroskedasticity, if they exist.
Eun-Hye Yoo, Phaedon C Kyriakidis
exaly   +3 more sources