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Data from: Phylogenetic comparative methods on phylogenetic networks with reticulations
- 负责人：
- DOI：
- doi:10.5061/dryad.nt2g6
- 摘要：
- , including phylogenetic regression with covariates (or phylogenetic ANOVA), ancestral trait reconstruction, and Pagel's ? test of phylogenetic si
Data from: Validity of bioelectrical impedance analysis in predicting total body water and adiposity among Senegalese school-aged children
- 负责人：
- DOI：
- doi:10.5061/dryad.97v3161
- 摘要：
- t predicted by BIA using a multi-frequency analyser. Stepwise backward multiple linear regression was performed to calculate TBW and %BF in a subsample, which
Monthly Rainfall and its Inter-Annual Variability (March)
- 负责人：
- South African Environmental Observation Network
- 关键词：
- mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
- DOI：
- doi:10.15493/sarva.beeh.10000060
- 摘要：
- was generated by Lynch (2004) using Geographically Weighted Regression. These ratios were then interpolated by Inverse Distance Weighting (IDW) ont
Monthly Rainfall and its Inter-Annual Variability (January)
- 负责人：
- South African Environmental Observation Network
- 关键词：
- mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
- DOI：
- doi:10.15493/sarva.beeh.10000055
- 摘要：
- was generated by Lynch (2004) using Geographically Weighted Regression. These ratios were then interpolated by Inverse Distance Weighting (IDW) ont
Monthly Rainfall and its Inter-Annual Variability (October)
- 负责人：
- South African Environmental Observation Network
- 关键词：
- mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
- DOI：
- doi:10.15493/sarva.beeh.10000056
- 摘要：
- was generated by Lynch (2004) using Geographically Weighted Regression. These ratios were then interpolated by Inverse Distance Weighting (IDW) ont
Monthly Rainfall and its Inter-Annual Variability (April)
- 负责人：
- South African Environmental Observation Network
- 关键词：
- mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
- DOI：
- doi:10.15493/sarva.beeh.10000061
- 摘要：
- was generated by Lynch (2004) using Geographically Weighted Regression. These ratios were then interpolated by Inverse Distance Weighting (IDW) ont
Monthly Rainfall and its Inter-Annual Variability (May)
- 负责人：
- South African Environmental Observation Network
- 关键词：
- mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
- DOI：
- doi:10.15493/sarva.beeh.10000062
- 摘要：
- was generated by Lynch (2004) using Geographically Weighted Regression. These ratios were then interpolated by Inverse Distance Weighting (IDW) ont
Monthly Rainfall and its Inter-Annual Variability (July)
- 负责人：
- South African Environmental Observation Network
- 关键词：
- mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
- DOI：
- doi:10.15493/sarva.beeh.10000064
- 摘要：
- was generated by Lynch (2004) using Geographically Weighted Regression. These ratios were then interpolated by Inverse Distance Weighting (IDW) ont
Monthly Rainfall and its Inter-Annual Variability (February)
- 负责人：
- South African Environmental Observation Network
- 关键词：
- mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
- DOI：
- doi:10.15493/sarva.beeh.10000059
- 摘要：
- was generated by Lynch (2004) using Geographically Weighted Regression. These ratios were then interpolated by Inverse Distance Weighting (IDW) ont
Data from: Evidence for selection-by-environment but not genotype-by-environment interactions for fitness-related traits in a wild mammal population
- 负责人：
- Hayward, Adam
- DOI：
- doi:10.5061/dryad.20407
- 摘要：
- of annual fitness. However, random regression models found variation between individuals in their responses to the environment in only three traits, and di
