All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately
<p>This figure highlights the case and control sites selected by the spatial random sampling approac...
Geospatial referenced environmental data are extensively used in environmental assessment, predictio...
AbstractSpatially balanced sampling is becoming a popular design for surveys in biological and envir...
The estimation of regional gross primary production (GPP) is a crucial issue in carbon cycle studies...
The estimation of regional gross primary production (GPP) is a crucial issue in carbon cycle studies...
The estimation of regional gross primary production (GPP) is a crucial issue in carbon cycle studies...
The estimation of regional gross primary production (GPP) is a crucial issue in carbon cycle studies...
863 High Technology of China 2012AA12A305;National Natural Science Foundation of China 40971222The...
A spatial sampling design determines where sample locations are placed in a study area. To achieve r...
A spatial sampling design determines where sample locations are placed in a study area. To achieve r...
Some environmental studies use non-probabilistic sampling designs to draw samples from spatially dis...
Spatially balanced sampling is an emerging area in statistical sampling. These designs are popular b...
A spatial sampling design determines where sample locations are placed in a study area. The main ob...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
The main aim of spatial sampling is to collect samples in 1-, 2- or 3-dimensional space. It is typic...
<p>This figure highlights the case and control sites selected by the spatial random sampling approac...
Geospatial referenced environmental data are extensively used in environmental assessment, predictio...
AbstractSpatially balanced sampling is becoming a popular design for surveys in biological and envir...
The estimation of regional gross primary production (GPP) is a crucial issue in carbon cycle studies...
The estimation of regional gross primary production (GPP) is a crucial issue in carbon cycle studies...
The estimation of regional gross primary production (GPP) is a crucial issue in carbon cycle studies...
The estimation of regional gross primary production (GPP) is a crucial issue in carbon cycle studies...
863 High Technology of China 2012AA12A305;National Natural Science Foundation of China 40971222The...
A spatial sampling design determines where sample locations are placed in a study area. To achieve r...
A spatial sampling design determines where sample locations are placed in a study area. To achieve r...
Some environmental studies use non-probabilistic sampling designs to draw samples from spatially dis...
Spatially balanced sampling is an emerging area in statistical sampling. These designs are popular b...
A spatial sampling design determines where sample locations are placed in a study area. The main ob...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
The main aim of spatial sampling is to collect samples in 1-, 2- or 3-dimensional space. It is typic...
<p>This figure highlights the case and control sites selected by the spatial random sampling approac...
Geospatial referenced environmental data are extensively used in environmental assessment, predictio...
AbstractSpatially balanced sampling is becoming a popular design for surveys in biological and envir...