筛选
科学数据
统计数据
共检索到9条 ,权限内显示50条;
Mean Annual Precipitation (mm)
- 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.10000054
- 摘要：
- ng quality controlled and infilled daily rainfall values from over 9 600 stations each with ≥ 15 years of daily records, applied a Geographically Weighted Regression
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：
- h 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 (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：
- h 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：
- h 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：
- h 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：
- h 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：
- h 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：
- h was generated by Lynch (2004) using Geographically Weighted Regression. These ratios were then interpolated by Inverse Distance Weighting (IDW) ont
Data from: Environmental factors explain the spatial mismatches between species richness and phylogenetic diversity of terrestrial mammals
- 负责人：
- DOI：
- doi:10.5061/dryad.nq8hg19
- 摘要：
- s and Geographically Weighted Regression to account for spatial non-stationarity of path coefficients. Results: SR, PD and environmental factors relate differently across
首页上一页1下一页尾页
