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Spatially balanced sampling methods are always more precise..:

Perret, Jan ; Charpentier, Anne ; Pradel, Roger..
info:eu-repo/semantics/altIdentifier/doi/10.1111/2041-210x.14015. , 2022

Link: https://hal.inrae.fr/hal-03845320

RT Journal
T1 <Title>Spatially balanced sampling methods are always more precise than random ones for estimating the size of aggregated populations</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftinstagro:oai:HAL:hal-03845320v1&Exemplar=1&LAN=DE
				
A1 Perret, Jan
A1 Charpentier, Anne
A1 Pradel, Roger
A1 Papuga, Guillaume
A1 Besnard, Aurélien
PB HAL CCSD; Wiley
YR 2022
K1 Autocorrelation
K1 Balanced acceptance sampling
K1 Clustered population
K1 Plant population
K1 Population monitoring
K1 Sampling error
K1 Spatial point process
K1 Survey design
K1 [SDE.BE]Environmental Sciences/Biodiversity and Ecology
K1 [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics
K1 Phylogenetics and taxonomy
K1 [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics
K1 [SDV.EE.ECO]Life Sciences [q-bio]/Ecology
K1 environment/Ecosystems
JF info:eu-repo/semantics/altIdentifier/doi/10.1111/2041-210x.14015
LK http://dx.doi.org/https://hal.inrae.fr/hal-03845320
DO https://hal.inrae.fr/hal-03845320
SF ELIB - SuUB Bremen

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