HomeSeeker: A visual analytics system of real estate data

Li, M, Bao, Z, Sellis, T, Yan, S and Zhang, R 2018, 'HomeSeeker: A visual analytics system of real estate data', Journal of Visual Languages and Computing, vol. 45, pp. 1-16.


Document type: Journal Article
Collection: Journal Articles

Title HomeSeeker: A visual analytics system of real estate data
Author(s) Li, M
Bao, Z
Sellis, T
Yan, S
Zhang, R
Year 2018
Journal name Journal of Visual Languages and Computing
Volume number 45
Start page 1
End page 16
Total pages 16
Publisher Academic Press
Abstract In this paper, we present HomeSeeker, an interactive visual analytics system to serve users with different backgrounds of the local real estate market and meet different degrees of user requirements. As a result, HomeSeeker augments existing commercial systems to help users discover hidden patterns, link various location-centered data to the price, as well as explore, filter and compare the properties, in order to easily find their preferred properties. In particular, we make the following contributions: (1) We present a problem abstraction for designing visualizations that help home buyers analyse the real estate data. Specifically, our data abstraction integrates heterogeneous data from different channels into a location-centred integrated real estate dataset. (2) We propose an interactive visual analytic procedure to help less informed users gradually learn about the local real estate market, upon which users exploit this learned knowledge to specify their individual requirements in property seeking. (3) We propose a series of designs to visualize properties/suburbs in different dimensions and in different granularities. We have collected, integrated and cleaned last 10 year's real estate sold records in Australia as well as their location-related education, facility and transportation profiles, to generate a real multi-dimensional data repository, and implemented a system prototype for public access (http://115.146.89.158). At last, we present case studies based on real-world datasets and real scenario to demonstrate the usefulness and effectiveness of our system.
Subject Database Management
Computer-Human Interaction
Keyword(s) Data integration
Geographic visualization
Multidimensional visualization
Real estate data
Visual analytics
DOI - identifier 10.1016/j.jvlc.2018.02.001
Copyright notice © 2018 Elsevier Ltd. All rights reserved.
ISSN 1045-926X
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