Application of a geographically‐weighted regression analysis to estimate net primary production of Chinese forest ecosystems

Wang, Quan; Ni, Jian; Tenhunen, John

doi:10.1111/j.1466-822x.2005.00153.x

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Application of a geographically‐weighted regression analysis to estimate net primary production of Chinese forest ecosystems

Shared by NobleBlocks on Mar 17, 2005 • 12:00 AM UTC

Authors:

Quan Wang

Jian Ni

John Tenhunen

Abstract

ABSTRACT Aim The objective of this paper is to obtain a net primary production (NPP) regression model based on the geographically weighted regression (GWR) method, which includes spatial non‐stationarity in the parameters estimated for forest ecosystems in China. Location We used data across China. ...

Subject

Akaike information criterion

Ordinary least squares

Spatial analysis

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