Using GIS and KDE analysis spatial distribution on public housing households: A case study

Proceedings of the 8th International Conference on Computer Science and Education, ICCSE 2013

Volumn , Issue , 2013, Pages 925-930

  Zhang, Zuo ^a,b   Liu, Yanzhong ^c   Chen, Biao ^d   Chen, Kunlun ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b HUBEI UNIVERSITY   (China)

^c WUHAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^d CHINA UNIVERSITY OF GEOSCIENCES   (China)

Author keywords

distribution; GIS; kernel density; public housing; spatial analysis

Indexed keywords

BUFFER ANALYSIS; DISTRIBUTION; KERNEL DENSITY; KERNEL DENSITY ESTIMATION; MARKET COMPARISON; PUBLIC HOUSING; SPATIAL ANALYSIS; SPATIAL DISTRIBUTION ANALYSIS;

COMPUTER SCIENCE; EDUCATION COMPUTING; ENGINEERING EDUCATION; GEOGRAPHIC INFORMATION SYSTEMS; SPATIAL DISTRIBUTION; STATISTICS;

HOUSING;

EID: 84881531946     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCSE.2013.6554044     Document Type: Conference Paper

References (15)

1. A. Okabe (ed.), Taylor & Francis, GIS-based studies in the humanities and social sciences, 2006, pp2-3.
2. M. P. Johnson and A. P. Hurter, "An optimization model for location of subsidized housing in metropolitan areas, " Location Science, vol. 6, no. 1-4, 1998, pp. 257-279.
3. M. P. Johnson and A. P. Hurter, "Decision Support for a Housing Mobility Program Using a Multiobjective Optimization Model, " INFORMS: Institute for Operations Research, 2000, pp. 1568.
4. M. P. Johnson, "A spatial decision support system prototype for housing mobility program planning, " Springer Science & Business Media BY, 2001, pp. 49.
5. M. P. Johnson, "Spatial decision support for assisted housing mobility counseling, " Decision Support Systems, no. 41, 2005, pp. 296-312.
6. M. P. Johnson, "Single-period location models for subsidized housing: Project-based subsidies, " Socio-Economic Planning Sciences, vol. 40, no. 4, 2006, pp. 249-274.
7. T. K. Anderson, "Kernel density estimation and K-means clustering to profile road accident hotspots, " Accident Analysis & Prevention, vol. In Press, Corrected Proof, 2009, pp. 1796-1802.
8. B. T. Kernohan, et al., "Use of an adaptive kernel home-range estimator in a GIS environment to calculate habitat use, " Journal of Environmental Management, vol. 53, no. I, 1998, pp. 83-89.
9. J. Chica-Olmo, "Prediction of Housing Location Price by a Multivariate Spatial Method: Cokriging, " Book Prediction of Housing Location Price by a Multivariate Spatial Method: Cokriging, Series Prediction of Housing Location Price by a Multivariate Spatial Method: Cokriging 29, ed., Editor eds . American Real Estate Society, 2007, pp. 91-114.
10. S. Zhang and R. T. Karunamuni, "Deconvolution boundary kernel method in nonparametric density estimation, " Journal of Statistical Planning and Inference, vol. 139, no. 7, 2009, pp. 2269-2283.
11. F. H. Wang, "Quantitative Methods and Applications in GIS". CRC Press, 2006, pp. 37.
12. B. Cadre, "Kernel estimation of density level sets, " Journal of Multivariate Analysis, vol. 97, no. 4, 2006, pp. 999-1023.
13. L. Sanders (ed), Model in Spatial Analysis, CA:ISTE Ltd Press, 2007.
14. L. Anselin, "GIS research infrastructure for spatial analysis of real estate markets". Journal of Housing Research, Vol. 9. 1998, pp. 113-33.
15. J. M. M. L. N. G. R. Matias Gamez Martinez, "Kriging methodology for regional economic analysis: Estimating the housing price in Albacete " International Advances in Economic Research, vol. 6, no. 3. 2000, pp. 438-450.