Assessing the significance of global and local correlations under spatial autocorrelation: A nonparametric approach

Biometrics

Volumn 70, Issue 2, 2014, Pages 409-418

  Viladomat, Júlia ^a   Mazumder, Rahul ^b   Mcinturff, Alex ^a   Mccauley, Douglas J ^c   Hastie, Trevor ^a  

^a STANFORD UNIVERSITY   (United States)

^b Och Spine at New York Presbyterian Hospitals   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Geostatistics; Monte Carlo methods; Resampling; Spatial autocorrelation; Spatial statistics; Variogram

Indexed keywords

AUTOCORRELATION; BIODIVERSITY;

GEO-STATISTICS; GLOBAL CORRELATION; MONTECARLO METHODS; NULL DISTRIBUTION; RANDOM FIELDS; RESAMPLING; SPATIAL AUTOCORRELATIONS; SPATIAL STATISTICS; VARIOGRAMS;

MONTE CARLO METHODS;

AUTOCORRELATION; BIODIVERSITY; BIOMETRY; GEOSTATISTICS; MONTE CARLO ANALYSIS; NUMERICAL MODEL; SPATIAL ANALYSIS; VARIOGRAM;

ALGORITHM; BIODIVERSITY; BIOMETRY; COMPUTER SIMULATION; ECOSYSTEM; GEOGRAPHIC MAPPING; MONTE CARLO METHOD; NONPARAMETRIC TEST; NORMAL DISTRIBUTION; PROCEDURES; SAMPLE SIZE; STATISTICAL MODEL;

ALGORITHMS; BIODIVERSITY; BIOMETRY; COMPUTER SIMULATION; ECOSYSTEM; GEOGRAPHIC MAPPING; MODELS, STATISTICAL; MONTE CARLO METHOD; NORMAL DISTRIBUTION; SAMPLE SIZE; STATISTICS, NONPARAMETRIC;

EID: 84902302748     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/biom.12139     Document Type: Article

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