Abstract
Detailed spatial representation of socioeconomic data has the potential to improve the reliability and quality of spatial assessment. In this paper, we propose a novel method to spatialize the transportation industry output of Hunan Province in China by disaggregating the administrative-unit level to the grid-cell one based on the classification and regression tree and the spatial copula model. The prior characteristics of the proposed approach are validated by comparing with the conventional Ordinary Kriging method in the senses of the geostatistical interpolation and the downscaling to the city level, respectively.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
