With the increasingly rapid growth of urbanization and climate change, urban rainfall monitoring as well as urban waterlogging has widely been paid attention. In the light of conventional siting selection methods do not take into consideration of geographic surroundings... View more
Anderson, T.K., 2009. Kernel density estimation and K-means clustering to profile road accident hotspots. Accident Analysis & Prevention,Vol 41(3):pp. 359-364.
Arora, S. and Taylor, J.W., 2014. Forecasting electricity smart meter data using conditional kernel density estimation.
Bastin, G., Lorent, B., Duqué, C. and Gevers, M., 1984.
Mishra, A.K. and Paulin, C., 2009. Developments in hydrometric network design: A review. Reviews of Geophysics,Vol 47(2):pp. 2415-2440.
R, E.J., 1999. Multi-criteria evaluation and GIS. Geographical information systems(1):pp. 493-502.
Sakai, N., Mohd, Y.R., Sapar, M., Yoneda, M. and Ali, M.M., 2016. Spatial analysis and source profiling of beta-agonists and sulfonamides in Langat River basin, Malaysia. Science of the Total Environment,Vol 548-549:pp. 43-50.
Shaghaghian, M.R. and Abedini, M.J., 2013. Rain gauge network design using coupled geostatistical and multivariate techniques. Scientia Iranica,Vol 20(2):pp. 259-269.
Shepherd, J.M., Taylor, O.O. and Garza, C., 2004. A Dynamic GIS Multicriteria Technique for Siting the NASA Clark Atlanta Urban Rain Gauge Network. Journal of Atmospheric & Oceanic Technology,Vol 21(21):pp. 1346-1363.
Shi, X., 2010. Selection of bandwidth type and adjustment side in kernel density estimation over inhomogeneous backgrounds.