Estimating census district populations from satellite imagery: Some approaches and limitations

By J. Harvey. 2002

177 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/52e52123e9be093cda87f980c5eddf60f73f813e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Jeremy L. Mennis
2. Torrin Hultgren

In Global and Planetary Change

1. Andrew J. Tatem
2. Jeremy L. Mennis
3. Torrin Hultgren

Citations in the corpus

• Intelligent Dasymetric Mapping and Its Application to Areal Interpolation (2006, result): “Similar patterns have been found by other researchers in dasymetric mapping (Eicher and Brewer 2001; Harvey, 2002a ).”
• The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use (2019, background): “…weights are statistically derived by regressing population counts or densities against various types of predictive variables (Mennis, 2009), derived from ancillary data layers such as density or length of streets (Reibel and Bufalino, 2005), or remotely sensed data (Harvey, 2002; Wu et al., 2005).”