The authors investigate the Sahel's underexplored relationships between the location and timing of environmental and agricultural resource variability, and their impact on conflict.
We analyze the dynamics of rural land systems amid the 2017-2018 opium gumis price collapse through a multi-site approach in three neighboring municipalities in the Southern Highlands of the state of Oaxaca, Mexico.
This study considered the combined influence from external regions and examines urbanization and its influence on vegetation carbon pool (vegetation carbon storage and NPP) from the perspective of tele-coupling based utilising domestic trade data, land-use images, vegetation carbon densities, NPP data, and using the MRIO model and spatial analysis.
Visulaization tool for wastewater pollution, that maps the sources and destinations of nitrogen created by researchers at UC Santa Barbara
The authors assess the performance of four gridded population data sets from 2015 for the Dian-Gui-Qian region of Southwest China: Gridded Population of the World version 4 (GPW4), Global Human Settlement (GHS), LandScan, and WorldPop.
The authors investigate relationships between disaster-level fire events and extreme heat on county-level migration in the USA using annual panel data for the years 1990–2015.
The study analyzed earth observation data, clinic health records, and socioeconomic surveys to quantify conservation, health, and sustainable development outcomes simultaneously in order to show how a conservation–health care exchange in rural Borneo preserved globally important forest carbon and simultaneously improved human health and well-being, in a region of historically intense environmental destruction, widespread poverty, and unmet health needs.
Using the municipality of Tehuantepec, Oaxaca, Mexico as study area, the paper evaluates the dynamics and identifies the indirect biophysical and socio‐economic factors related to the recovery, degradation and deforestation of the tropical dry forest (TDF) cover during the period 1993–2011.
The paper compares and discusses a set of large-scale (global and continental) gridded datasets representing population counts or densities.
This article aimed to address the strategies commonly used by researchers who use the DHS use a variety of approaches for spatial data merging, and proposes a theory‐based and straightforward alternative for adding contextual environmental variables to survey data that maintains confidentiality of those surveyed.
