Spatial residual analysis of six modeling techniques

Ecological Modelling

Volumn 186, Issue 2, 2005, Pages 154-177

  Zhang, Lianjun ^a   Gove, Jeffrey H ^b   Heath, Linda S ^b  

^a STATE UNIVERSITY OF NEW YORK   (United States)

^b U S DEPARTMENT OF AGRICULTURE   (United States)

Author keywords

Generalized additive model (GAM); Linear mixed model (LMM); Local indicator of spatial autocorrelation (LISA); Multi layer perceptron (MLP) neural network; Ordinary least squares (OLS); Radial basis function (RBF) neural network; Spatial autocorrelation

Indexed keywords

CORRELATION METHODS; FORESTRY; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; MULTILAYER NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS; SPATIAL VARIABLES MEASUREMENT;

GENERALIZED ADDITIVE MODEL (GAM); LINEAR MIXED MODEL (LMM); MULTI-LAYER PERCEPTION (MLP) NEURAL NETWORKS; SPATIAL AUTOCORRELATIONS;

ECOLOGY;

AUTOCORRELATION; MODEL VALIDATION; MODELING; PREDICTION; SPATIAL DISTRIBUTION;

CORRELATION; ECOLOGY; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; TREES;

EID: 21344459257     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2005.01.007     Document Type: Article

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