Skip to main content

Not Updated

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...


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 spatial dataset contains the geographic boundaries and ecological evaluations of 45 Key Landscapes for Conservation and Development (KLCDs) across Sub-Saharan Africa. Building on the K...


This dataset contains Geographically Weighted Regression (GWR) coefficients estimating the local relationship between electricity access and child stunting across Uganda. The spatially varying coeffic...


This dataset contains Geographically Weighted Regression (GWR) coefficients estimating the local relationship between electricity access and child stunting across Uganda. The spatially varying coeffic...


Subscribe to Not Updated