Artificial neural networks as a method of spatial interpolation for digital elevation models.(brain chemistry research)(Statistical Data Included): An ... and Geographic Information Science

This digital document is an article from Cartography and Geographic Information Science, published by American Congress on Surveying & Mapping on April 1, 2002. The length of the article is 5506 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

Citation Details
Title: Artificial neural networks as a method of spatial interpolation for digital elevation models.(brain chemistry research)(Statistical Data Included)
Author: David A. Merwin
Publication:Cartography and Geographic Information Science (Refereed)
Date: April 1, 2002
Publisher: American Congress on Surveying & Mapping
Volume: 29 Issue: 2 Page: 99(12)

Article Type: Statistical Data Included

Distributed by Thomson Gale