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Published July 27, 2022 | Version v1
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Research data: Improving calibration of land use change models through validation of transition potential predictions.

  • 1. ETH Zürich
  • 2. University of Lausanne
  • 3. Swiss Federal Institute for Forest, Snow and Landscape Research

Description

This dataset includes the processed data and R scripts used for analysis that are the basis of the journal article: Black, B., Grêt-Regamey, A., Van Strien, M. In review. Improving calibration of land use change models through validation of transition potential predictions. Environmental Modelling and Software.

The dataset includes a readme file in .txt format which includes metadata and instructions for reproducing the research.

Files

ICoLCM.zip

Files (52.2 MB)

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