This paper provides a high‐level review of different approaches for spatial interpolation
using areal features. It groups these into those that use ancillary data to constrain or guide …

The consumption of contaminated drinking water is one of the major causes of mortality and
many severe diseases in developing countries. The principal drinking water sources in …

Abstract Geospatial techniques, using Geographic Information Systems and remote sensing
data, have become more commonly used with dasymetric modeling of fine-scale …

The growing demand for spatially detailed population products in various fields continues to
rise, as users shift their focus from aggregated areal totals to high-resolution grid estimates …

In many parts of the world, groundwater is considered as one of the main sources of urban
and rural drinking water. Over the past three decades, the qualitative and quantitative …

Abstract Background Developing countries in South Asia, such as Bangladesh, bear a
disproportionate burden of diarrhoeal diseases such as Cholera, Typhoid and Paratyphoid …

Dasymetric areal interpolation is the process by which data are transferred from a spatial
unit system for which they are available (source units) to another system for which they are …

Control data are critical for improving areal interpolation results. Remotely sensed imagery,
road network, and parcels are the three most commonly used ancillary data for areal …

Population data are traditionally obtained through censuses and aggregated up to the level
of administrative units for reasons of privacy. This way, however, detailed information on the …

High-resolution population grids built from historical census data can ease the analyses of
geographical population changes, at the same time also facilitating the combination of …