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Webinar: Machine Learning methods for census data: lessons learned from mapping global livestock dynamics at 1 km resolution 2000-2022

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 Da Re, Daniele Parente, Leandro

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Webinar: Machine Learning methods for census data: lessons learned from mapping global livestock dynamics at 1 km resolution 2000-2022
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3
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Production PlaceDoorwerth, The Netherlands

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Abstract
1 hr webinar on methods and approaches for modelling census data (Aggregate data includes counts or estimates released by the Census Bureau that are aggregated to some geographic unit of interest, such as a state, municipality or finer). How to downscale census data and find correlations for complex variables with complex distributions.