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THE KERNEL DENSITY ESTIMATION FOR THE VISUALIZATION OF SPATIAL PATTERNS IN URBAN STUDIES

Mora-Garcia, Raul-T, Cespedes-Lopez, M-Francisca, Perez-Sanchez, Juan-Carlos, Perez-Sanchez, Raul

First published: 2015https://doi.org/10.5593/sgem2015/b21/s8.111View metrics

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  • Citations
  • CrossRef - Citation Indexes: 2
  • Policy Citation - Policy Citations: 4
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  • Mendeley - Readers: 35
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Publication details

Title
THE KERNEL DENSITY ESTIMATION FOR THE VISUALIZATION OF SPATIAL PATTERNS IN URBAN STUDIES
Authors
Mora-Garcia, Raul-T, Cespedes-Lopez, M-Francisca, Perez-Sanchez, Juan-Carlos, Perez-Sanchez, Raul
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 15th International Multidisciplinary Scientific GeoConference SGEM2015, INFORMATICS, GEOINFORMATICS AND REMOTE SENSING
Publisher
Stef92 Technology
Year
2015
Pages
867-874
ISSN
1314-2704
ISBN
978-619-7105-34-6
Language
en
Publication type
Conference Paper
References12

  1. Wang, F. Quantitative Methods and Socio-Economic Applications in GIS (2ª ed.). CRC Press, 2014, 333 p.

  2. Silverman, B.W. Density Estimation for Statistics and Data Analysis . London, Chapman and Hall/CRC, 1986, 176 p.

  3. Xie, Z. y Yan, J. Kernel Density Estimation of traffic accidents in a network space. Computers, Environment and Urban Systems, vol. 32/issue 5, pp. 396-406, 2008.

  4. Gatrell, A.C.; Bailey, T.C.; Diggle, P.J. y Rowlingson, B.S. Spatial point pattern analysis and its application in geographical epidemiology. T ransactions of the Institute of British geographers, vol. 21/issue 1, pp. 256-274, 1996.

  5. Marron, J.S. y Nolan, D. Canonical kernels for density estimation. Statistics & Probability Letters, vol. 7/issue 3, pp. 195-199, 1988.

  6. Gavin, J.B.; Haberman, S. y Verrall, R.J. On the choice of bandwidth for kernel graduation. Journal of the Institute of Actuaries, vol. 121/ issue 1, pp. 119-134, 1994. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

  7. Wang, F. Quantitative Methods and Socio-Economic Applications in GIS (2ª ed.). CRC Press, 2014, 333 p.

  8. Silverman, B.W. Density Estimation for Statistics and Data Analysis . London, Chapman and Hall/CRC, 1986, 176 p.

  9. Xie, Z. y Yan, J. Kernel Density Estimation of traffic accidents in a network space. Computers, Environment and Urban Systems, vol. 32/issue 5, pp. 396-406, 2008.

  10. Gatrell, A.C.; Bailey, T.C.; Diggle, P.J. y Rowlingson, B.S. Spatial point pattern analysis and its application in geographical epidemiology. T ransactions of the Institute of British geographers, vol. 21/issue 1, pp. 256-274, 1996.

  11. Marron, J.S. y Nolan, D. Canonical kernels for density estimation. Statistics & Probability Letters, vol. 7/issue 3, pp. 195-199, 1988.

  12. Gavin, J.B.; Haberman, S. y Verrall, R.J. On the choice of bandwidth for kernel graduation. Journal of the Institute of Actuaries, vol. 121/ issue 1, pp. 119-134, 1994. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

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Number of times cited according to Crossref: 2

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