Abstract
Given increasingly accessible spatially-referenced environmental data, environmental demographers have the unique opportunity to use spatial data and spatial analytical techniques to unpack the complex relationships between demographic processes and the biophysical environment. A distinguishing feature of spatial studies, demographic or otherwise, is the explicit consideration of one location relative to others. This chapter provides an overview of how spatial data and analyses are used in research at the population-environment nexus and identifies how spatial data and analytic strategies might advance our theoretical knowledge of today’s most significant environmental issues. In Part 1, we provide general definitions, and foundational theoretical and methodological concepts. In Part 2, we highlight compelling spatial work occurring in the population and environment literature organized by demography’s traditional themes: migration, fertility, and mortality. We conclude with suggestions for future directions researchers might take to incorporate spatial thinking from both methodological and theoretical standpoints. By underscoring spatial differentiation within population-environment research via reflexive theory and appropriate modeling strategies, environmental demographers are uniquely positioned to draw connections between demographic processes, social inequality, and environmental hazards.
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Notes
- 1.
Spatial network analysis is a way through which to understand the routing and allocating of resource flows through a set of linear features. For example, this case looks at distance optimization decisions, directionality of resource flows, and various pathways traveled by people and resources as villagers seek family planning services at specific locations.
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Rosenfeld, R.A., Curtis, K.J. (2022). Spatial Data and Analytical Approaches. In: Hunter, L.M., Gray, C., Véron, J. (eds) International Handbook of Population and Environment. International Handbooks of Population, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-030-76433-3_6
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