Spatial Modeling and Geovisualization of Rental Prices for Real Estate portals
| Autor: | Hartmut Asche, Harald Schernthanner, Julia Gonschorek, Lasse Scheele |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Geographic information system
050208 finance Computer science business.industry Status quo media_common.quotation_subject 05 social sciences Real estate Geostatistics 02 engineering and technology Data science Visualization Renting Geocoding 0502 economics and business 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Geovisualization business Spatial analysis media_common |
| Zdroj: | Computational Science and Its Applications--ICCSA 2016 ISBN: 9783319421100 ICCSA (3) |
| Popis: | From a geoinformation science perspective real estate portals apply non-spatial methods to analyse and visualise rental price data. Their approach shows considerable shortcomings. Portal operators neglect real estate agents' mantra that exactly three things are important in real estates: location, location and location (Stroisch, 2010). Although real estate portals retacord the spatial reference of their listed apartments, geocoded address data is used insufficiently for analyses and visualisation, and in many cases the data is just used to “pin” map the listings. To date geoinformation science, spatial statistics and geovisualization play a minor role for real estate portals in analysing and visualising their housing data. This contribution discusses the analytical and geovisual status quo of real estate portals and addresses the most serious deficits of the employed non-spatial methods. Alternative analysing approaches from geostatistics, machine learning and geovisualization demonstrate potentials to optimise real estate portals´ analysing and visualisation capacities. |
| Databáze: | OpenAIRE |
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