Priority areas are identified using local coefficients estimated through Geographically Weighted Regression (GWR), which measures the spatially varying relationship between access to piped water and f...
The priority areas are determined by the Geographically Weighted Regression (GWR) coefficients estimating the local relationship between access to piped water and 4 nutrition indicators (stunting, was...
The priority areas are determined by the Geographically Weighted Regression (GWR) coefficients estimating the local relationship between access to piped water and 4 nutrition indicators (stunting, was...
The priority areas are determined by the Geographically Weighted Regression (GWR) coefficients estimating the local relationship between access to piped water and 4 nutrition indicators (stunting, was...
The priority areas are determined by the Geographically Weighted Regression (GWR) coefficients estimating the local relationship between access to piped water and 4 nutrition indicators (stunting, was...
This dataset contains Geographically Weighted Regression (GWR) coefficients estimating the local relationship between electricity access and child stunting across Uganda. The spatially varying coeffic...
Crop conditions monitoring is highly relevant for food security early warning and response planning in food-insecure areas of the world. GEOGLAM (the Group on Earth Observations' Global Agricult...
