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title: Causal inference with geospatial data
description: "A 2.5-hour hands-on workshop on causal inference with geospatial data: counterfactual reasoning, spatial confounding, spillovers, and an NH₃ case study in Python."
sidebar: >-
  <span class="sidebar-summary">This site hosts the materials for the workshop <i>Causal inference with geospatial data</i>. Unless noted otherwise, the materials are <a href="https://creativecommons.org/licenses/by/4.0/">CC-BY-4.0 licensed</a>.</span>
  <span class="sidebar-block"><strong>Instructor</strong><br><a href="https://www.uu.nl/staff/JGarciaBernardo">Javier Garcia-Bernardo</a><br>Utrecht University</span>
  <span class="sidebar-block"><strong>Maintained by</strong><br><a href="https://odissei-soda.nl/">ODISSEI Social Data Science (SoDa)</a><br><a href="mailto:soda@odissei-data.nl">soda@odissei-data.nl</a></span>
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  # Only the linked .html slides and .ipynb practicals are published.
  # ---------------------------------------------------------------------------
  - lectures/1_intro_causality/figures
  - lectures/2_geocausality/figures
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  - lectures/2_geocausality/2_geocausality.qmd
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