|
|
|
|
|
Behnam Nikparvar and Jean-Claude Thill
Properties of spatially explicit data are often ignored or inadequately handled in machine learning for spatial domains of application. At the same time, resources that would identify these properties and investigate their influence and methods to handle...
ver más
|
|
|
|
|
|
|
|
|
|
|
Konstantin Belyaev, Andrey Kuleshov and Ilya Smirnov
The main aim of this work is to study the spatial?temporal variability of the model?s physical and spectral characteristics in the process of assimilation of observed ocean surface height data from the AVISO (Archiving, Validating and Interpolation Satel...
ver más
|
|
|
|
|
|
|
|
|
|
|
Daijun Zhang, Xiaoqi Zhang, Yanqiao Zheng, Xinyue Ye, Shengwen Li and Qiwen Dai
This study analyzed the spillovers among intra-urban housing submarkets in Beijing, China. Intra-urban spillover imposes a methodological challenge for housing studies from the spatial and temporal perspectives. Unlike the inter-urban spillover, the rang...
ver más
|
|
|
|
|
|