API reference¶
Area Weighted¶
Area weighted approaches use the area of overlap between the source and target geometries to weight the variables being assigned to the target

Area interpolation for extensive and intensive variables. 
Dasymetric¶
Dasymetric approaches use auxiliary data in addition to use the area of overlap between the source and target geometries to weight the variables being assigned to the target

Interpolate data between two polygonal datasets using an auxiliary raster to mask out uninhabited land. 
Model¶
Model based approaches use additional spatial data, such as a land cover raster, to estimate the relationships between population and the auxiliary data. It then uses that model to predict population levels at different scales

Estimate interpolated values using raster data as input to a generalized linear model. 

Estimate interpolated values using raster data as input to a generalized linear model, then apply an adjustmnent factor based on pixel values. 