Artificial neural networks as a tool for spatial interpolation

Author： Rigol Juan P.   Jarvis Claire H.   Stuart Neil  

Publisher： Taylor & Francis Ltd

ISSN： 1365-8824

Source： International Journal of Geographical Information Science, Vol.15, Iss.4, 2001-06, pp. : 323-343

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Spatial interpolation using MLP–RBFN hybrid networks

By      

International Journal of Geographical Information Science, Vol. 27, Iss. 10, 2013-10 ,pp. : 1884-1901

Taylor & Francis Ltd

Access to resources Recommend Favorite

Application of Artificial Neural Networks to Complex Groundwater Management Problems

By Coppola Jr. Emery   Poulton Mary   Charles Emmanuel   Dustman John   Szidarovszky Ferenc  

Natural Resources Research, Vol. 12, Iss. 4, 2003-12 ,pp. : 303-320

Springer Publishing Company

Access to resources Recommend Favorite

The spatial distribution of inventor networks

By Wilhelmsson Mats  

The Annals of Regional Science, Vol. 43, Iss. 3, 2009-09 ,pp. : 645-668

Springer Publishing Company

Access to resources Recommend Favorite

A Triangular Prism Spatial Interpolation Method for Mapping Geological Property Fields

By Cui Yang   Li Qingquan   Li Qingyuan   Zhu Jiasong   Wang Chisheng   Ding Kai   Wang Dan   Yang Bisheng  

ISPRS International Journal of Geo-Information, Vol. 6, Iss. 8, 2017-08 ,pp. : 241-241

MDPI

Access to resources Recommend Favorite

Contextual neural gas for spatial clustering and analysis

By Hagenauer Julian   Helbich Marco  

International Journal of Geographical Information Science, Vol. 27, Iss. 2, 2013-02 ,pp. : 251-266

Taylor & Francis Ltd

Access to resources Recommend Favorite