Urban planners and #MultiSectorDynamics researchers require population data at small spatial scales. Heng Wan et al demonstrate the value of combining landscape metrics based on imperviousness data with machine learning for improved population downscaling. 1/5
https://www.sciencedirect.com/science/article/pii/S0198971522001430?via%3Dihub
High quality historical reservoir storage data are critical for researchers and practitioners in #MultiSectorDynamics. Yao Li et al introduce a new global dataset and investigate changing reservoir capacity and storage levels over time in Nature Communications.
“Excited to share our @NatureComms paper on: Diminishing storage returns of reservoir construction. More details on: https://t.co/Ff1W8hMrri. The paper was led by Yao Li coauthored with @gzhaowater, @hydroAllen. Checkout a news story at https://t.co/kvbU3ekTh8! @TAMUEngineering”
Hello Mastodon from the #MultiSectorDynamics Community of Practice! We are a multi-disciplinary collective of natural and social scientists, engineers, economists, & other researchers working at the interface of human & natural systems.
We will post on new research & upcoming events related to #EnergyTransitions, #UrbanSystems, #ClimateAdaptation, #HumanSystemsModeling, #UncertaintyModeling, & other topics in #MultiSectorDynamics!
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MultiSector Dynamics