Gregory Yetman

TL;DR: The basic methods for constructing estimates of global population distribution with attention to recent advances in improving both spatial and temporal resolution are described.

TL;DR: In this article, a suite of global datasets on urban population and extents is presented, combining census and satellite data and methods of analysis, in an integrated geospatial framework, allowing for inquiry into analysis urban issues and population by environmental and other ecological characteristics.

TL;DR: This paper discusses the deficiencies of existing spatial population datasets and their limitations on epidemiological analyses, and reviews sources of detailed, contemporary, freely available and relevant spatial demographic data focusing on low income regions, to highlight the value of incorporating these through a set of examples of their application in disease studies.

TL;DR: In this paper, the authors identify sensitive ecosystems and regions at high risk of climate hazards that have seen high levels of net inmigration and out-migration over the time period.

TL;DR: This study presents the effectiveness of three different high-resolution built area datasets for producing gridded population estimates through the dasymetric disaggregation of census counts in Haiti, Malawi, Madagascar, Nepal, Rwanda, and Thailand.