The terrestrial organism and biogeochemistry spatial sampling design for the National Ecological Observatory Network
DT Barnett, PA Duffy, DS Schimel, RE Krauss… - …, 2019 - Wiley Online Library
Abstract The National Ecological Observatory Network (NEON) seeks to facilitate ecological
prediction at a continental scale by measuring processes that drive change and responses …
prediction at a continental scale by measuring processes that drive change and responses …
Estuarine environmental monitoring programs: long-term studies
JE Marcovecchio, SE Botté, SG De Marco… - The Bahía Blanca …, 2021 - Springer
Monitoring programs are evaluation procedures designed to assess the state and evolution
of a system over time. In particular, environmental monitoring programs are those that are …
of a system over time. In particular, environmental monitoring programs are those that are …
[图书][B] SpatialMethods for Modeling Extreme and Rare Events
SA Morris - 2016 - search.proquest.com
In recent years, extreme values analysis (EVA) has started to benefit from methods that allow
for dependence between observations. This is important for many phenomena (eg ozone …
for dependence between observations. This is important for many phenomena (eg ozone …
Adaptive Sampling for Spatial Capture-Recapture: An efficient sampling scheme for rare or patchily distributed species
Rare species present challenges to data collection, particularly when the species is spatially
clustered over large areas, such that the encounter frequency of the organism is low …
clustered over large areas, such that the encounter frequency of the organism is low …
Methodologies for abundance estimation of moose (Alces alces) and other rare species
A Wong - 2018 - ecommons.cornell.edu
Moose (Alces alces) are a species of management concern in New York State. In some New
England states, moose populations are known to be in decline due to mortality from parasitic …
England states, moose populations are known to be in decline due to mortality from parasitic …
A spatial model for rare binary events
SA Morris, BJ Reich, K Pacifici, Y Lei - Environmental and ecological …, 2017 - Springer
Many predominant spatial methods for binary data use a latent Gaussian process to capture
spatial dependence. However, this may not be appropriate for rare data because these …
spatial dependence. However, this may not be appropriate for rare data because these …