Model-free estimation from spatial samples: A reappraisal of classical sampling theory
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Modeling species-habitat relationships with spatially autocorrelated observation data.Multiscale analysis of tree cover and aboveground carbon stocks in pinyon-juniper woodlands.Landscape-level variation in forest structure and biogeochemistry across a substrate age gradient in Hawaii.Sampling and geostatistics for spatial data
P2860
Model-free estimation from spatial samples: A reappraisal of classical sampling theory
description
article
@en
im Mai 1990 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в травні 1990
@uk
name
Model-free estimation from spatial samples: A reappraisal of classical sampling theory
@en
Model-free estimation from spatial samples: A reappraisal of classical sampling theory
@nl
type
label
Model-free estimation from spatial samples: A reappraisal of classical sampling theory
@en
Model-free estimation from spatial samples: A reappraisal of classical sampling theory
@nl
prefLabel
Model-free estimation from spatial samples: A reappraisal of classical sampling theory
@en
Model-free estimation from spatial samples: A reappraisal of classical sampling theory
@nl
P356
P1476
Model-free estimation from spatial samples: A reappraisal of classical sampling theory
@en
P2093
C. J. F. ter Braak
J. J. de Gruijter
P2888
P304
P356
10.1007/BF00890327
P577
1990-05-01T00:00:00Z