Natalie Ayers, with contributing author Emily Aiken
This tutorial will guide the user through the creation of population-weighted wealth maps and statistics for administrative areas of interest. After an explanation of...
Ferdinand, Handavuab, Paxie W.C.Chirwa, Stephen Syampungani
This study examined socio-economic factors that influence land-use and land-cover dynamics in the Copperbelt miombo woodlands of Zambia. Data were collected through household...
Marcelo R. Zak, Marcelo Cabido, Daniel Cáceres & Sandra Díaz
Synergistic combinations of climatic and land use changes have the potential to produce the most dramatic impacts on land cover. Although this is widely accepted, empirical...
Marcos Wellausen Dias de Freitas, João Roberto dos Santos & Diógenes Salas Alves
Land-use and land-cover change affects both ecological and socioeconomic processes, motivating the integration of environmental and socioeconomic data to help understand this...
This study analyzes land use dynamics, spatiotemporal patterns of ecosystem service value (ESV), and the forces driving growth in the Hangzhou metropolitan area (HMA) in China....
"Land is a very important asset and a means to sustain livelihood. In the face of a rapidly growing global population, increase in technological capacity, and affluence, the...
This study explores the major drivers of Land-use/Land-cover (LULC) dynamics and the observed environmental degradation as a response to these changes in the Modjo watershed,...
This paper estimates econometric models of the socioeconomic drivers of urban land use change in the Pearl River Delta, China. The panel data used to estimate the models are...
Johanna Mård, Giuliano Di Baldassarre, Maurizio Mazzoleni
To understand the spatiotemporal changes of flood risk, we need to determine the way in which humans adapt
and respond to flood events. One adaptation option consists of...
One of the pervasive issues in social and environmental research has been to improve the quality of socioeconomic data in developing countries. Because of the shortcoming of...
We report on a systematic ground-based validation of DMSP-OLS night lights
imagery to detect rural electrification in Vietnam. Based on an original survey of village-level
units...
Ting Ma, Chenghu Zhou, Tao Pei, Susan Haynie, Junfu Fan
Urbanization process involving increased population size, spatially extended land cover and intensified economic activity plays a substantial role in anthropogenic environment...
Previous work has analyzed whether luminosity data contain useful information for estimating economic output and concluded that there was significant promise for regions with...
C. D. Elvidge, K. E. Baugh, S. J. Anderson, P. C. Sutton, T. Ghosh
We have developed a satellite data derived ''Night Light Development Index'' (NLDI) as a simple, objective, spatially explicit and globally available empirical measurement of...
Steeve Ebener, Christopher Murray, Ajay Tandon, Christopher C Elvidge
Sub-national figures providing information about the wealth of the population are useful in defining the spatial distribution of both economic activity and poverty within any...
This study demonstrates estimations of economic activities on global, national, and subnational levels using remote sensing data, with a focus on developing economies. It...
Christopher D. Elvidge, Kimberly Baugh, Mikhail Zhizhin, Feng Chi Hsu
For more than forty years the U.S. Air Force Defense Meteorological Satellite
Program (DMSP) Operational Linescan System (OLS) has been the only system collecting
global low...
Much aggregate social-science analysis relies upon the standard national income and product accounts as a source of economic data. These are recognized to be defective in many...
Kathryn Baragwanath Vogel, Ran Goldblatt, Gordon H. Hanson, Amit K. Khandelwal
We propose a methodology for defining urban markets based on built-up land-cover classified
from daytime satellite imagery. Compared to markets defined using minimum thresholds...
Hans P. Binswanger-Mkhize, Timothy Johnson, Paul Chimuka Samboko, Liangzhi You
To estimate the impact of urban growth on agricultural and rural nonfarm income growth we
develop an urban gravity variable that reflects the economic activity of a city– total...