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The Impact of Climate Change on Birds

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Updated 06/2024
Predict the impact of climate change on bird distributions using spatial data and machine learning.
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Project Description

Climate is changing around the world. This change is impacting species of wild animals. In this project, we will use four decades of bird sightings and climate data to predict the distribution of a bird species in the Scottish Highlands and see how its distribution changed over the years.

We will use data from the Global Biodiversity Information Facility and a subset of the UKCP09 climate data from the UK Met Office.

Project Tasks

  1. 1
    Tracking a changing climate
  2. 2
    Mapping a changing climate
  3. 3
    Fieldwork in the digital age – download the data
  4. 4
    Sorting out the bad eggs – data cleaning
  5. 5
    Nesting the data
  6. 6
    Making things spatial - projecting our observations
  7. 7
    Extract exactly what we want
  8. 8
    Pseudo-absences
  9. 9
    Making models - with caret
  10. 10
    Prediction probabilities
  11. 11
    A map says more than a thousand words

Technologies

R R

Topics

Data ManipulationData VisualizationMachine Learning

Prerequisites

Visualizing Geospatial Data in RIntermediate Functional Programming with purrrHyperparameter Tuning in RData Manipulation with dplyr
Laurens Geffert HeadshotLaurens Geffert

Senior Product Analyst and Tech Lead at Google

Laurens has been using R for over ten years. He holds a PhD from the University of Cambridge where he used geospatial machine learning and modeling to predict the future of the world's fisheries. He has worked in a wide range of domains, from the UN and NGOs over the credit and insurance sector to retail and ad tech. You can find his blog at https://janlauge.github.io.
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