In this research, the authors propose a supervised machine learning approach, Random Forest, for population density appraisal in a large and dense developing city.
This paper will discuss how and if climatic factors can be isolated from other factors to explain recent Honduran migration behavior, in order to move towards a holistic explanation of climate-driven migration by drawing on ethnographic studies of Honduran coffee farmers.
In this chapter, the authors show that there is a diversity of vulnerabilities in the sense that different groups of young people, who have different degrees of exposure to climate change and may have differentiated resources to deal with them. For this, they examine the threat of high temperatures in the agricultural sector and the differences in vulnerability between the profiles of young people employed in the sector in Mexico, Guatemala, Peru and Chile.
Using high-resolution weather and household survey data from Demographic and Health Survey 1996–2012, this study tested whether susceptibility to linear growth faltering is higher among Peruvian children from indigenous, rural, low-education, and low-income households.
The study uses a mixed-methods approach to document, analyze, and conceptualize the interacting factors that shape vulnerability and to explore community members’ perceptions of the role and relative importance of climate change compared to other factors in three rural communities in Ecuador: Trinidad, Guadual, and San Miguel.
Based on mixed‐methods fieldwork in north‐western Nicaragua, we find that rather than produce remittance landscapes, or an abandonment of agriculture, subsistence migration,” or mobility to maintain small‐scale agriculture as a food security strategy, help families to persist in agriculture in a context of worsening environmental and structural conditions.
The paper studies the difference between migrant colonists and indigenous populations in their land and labor allocation in the Amazon and its implications by analyzing patterns of on- and off-farm employment of rural populations, both mestizo and indigenous, in the Ecuadorian Amazon.
Using a highland migrant sending area in a small coastal valley of Peru, the research investigates the social and environmental mechanisms that lead to individuals adopting migration as an adaptation to environmental change.
The paper seeks to discuss trends of urban expansion and population growth with their social and environmental implications in the city of Teresina, the capital and largest city of the Brazilian state of Piauí over the last four decades (1974–2014).
The paper examines the effect of climate variability on human migration in South America, by quantifying human migration responses to climate variability using over 21 million observations of adults aged 15–40 from 25 censuses conducted in eight South American countries.
