Using Kernel density estimation for modelling and simulating transaction location

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2017
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Abstract
Simulation modelling performs a prognostic function through model research and the shaping of the future. Thorough insight into the analysed system and exploring its characteristics for the selection of optimal tools of analysis is an extremely significant process that precedes the stage of the simulation itself. For modelling and transaction simulation, the problem concerning the optimal range of the kernel function used for exploring the spatial activity of a property market should be addressed first. A probability function is the basis for the subsequent phase of research, which allows one to answer the question of whether the transaction density in a given year can be reflected in the transactions of the following year and subsequent years, and whether transaction distribution is correlated, in any way, with the transaction density in the previous year. The final results of the work are maps of the dynamics of transactions on the market and of the simulated transaction density.
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kobylinska2017usinginternational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Kobylińska, Katarzyna;Cellmer, Radosław;Źróbek, Sabina;Lepkova, Natalija;
Journal international journal of strategic property management
Year 2017
DOI
DOI not found
URL
https://journals.vgtu.lt/index.php/IJSPM/article/view/1901
Keywords Keywords not found

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