We sought to provide a historical overview of methods, models, and data used in the
environmental justice (EJ) research literature to measure proximity to environmental hazards …

Authoritative and comprehensive, this is the leading text and professional resource on using
geographic information systems (GIS) to analyze and address public health problems. Basic …

Driven by advances in technology and societal needs, the next frontier in remote sensing is
urban areas. With the advent of high-resolution imagery and more capable techniques, the …

Dasymetric mapping techniques can be employed to estimate population characteristics of
small areas that do not correspond to census enumeration areas. Land cover has been the …

Dasymetric models increase the spatial resolution of population data by incorporating
related ancillary data layers. The role of uncertainty in dasymetric modeling has not been …

Mismatching sets of boundaries present a persistent problem in spatial analysis for many
different applications. Dasymetric mapping techniques can be employed to estimate …

Background Transforming spatial data from one scale to another is a challenge in
geographic analysis. As part of a larger, primary study to determine a possible association …

This chapter provides a historical overview and constructive critique of analytical
approaches and methods that have been used to measure proximity to environmental health …

In this article, we use a new economic geography (NEG) model to estimate the extent to
which the persistence in apartheid regional wage disparities in South Africa is an outcome of …

Dasymetric mapping is a process of disaggregating spatial data from a coarser to a finer unit
of analysis, using additional (or “ancillary”) data to refine the locations of population and …