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NEON Data in the Classroom: Quantifying Spatial Patterns

Author(s): Kusum Naithani

University of Arkansas, Fayetteville, AR 72701

1911 total view(s), 815 download(s)

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Summary:
Students build on fundamental concepts of spatial patterns and combine this knowledge with the open-data from the National Ecological Observatory Network to quantify spatial autocorrelation and complexity.

Licensed under CC Attribution-NonCommercial 4.0 International according to these terms

Version 1.0 - published on 23 Jul 2020 doi:10.25334/AJBF-AZ49 - cite this

Keywords

  1. R
  2. R Markdown
  3. landscape ecology
  4. group-neon2018
  5. spatial statistics
  6. fractals
  7. rasters

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