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Landscape Ecology Labs

These Landscape Ecology labs were taught winter quarter 2015 at the Bren School, UCSB. Originally posted in a private online courseware GauchoSpace. Quickly posting this content for NEON spatio-temporal data hackathon.

This content is best viewed at bbest.github.io/landscape-ecology-labs, and managed via github.com/bbest/landscape-ecology-labs. For an overview of the course, see the syllabus.

These labs are also advertised through the NEON Data Lesson Catalog. Contributions are welcome, especially as a pull request through the Github site bbest/landscape-ecology-labs.

Labs

Used Rmarkdown to weave instructions with data preparation for various external software and post-process outputs into tables and visualizations.

Instructions. Per lab (eg lab2), download lab*.zip and extract. It will extract to a folder with the same name (eg lab2_scale.zip to folder lab2_scale). Download the other lab files, especially lab*.html and lab*.Rmd, into this same extracted folder. You can most easily read the instructions in lab*.html. Except for the first lab, you will edit the lab*.Rmd in RStudio and run code to prepare the data and process outputs.

  1. Introduction: Touring Landcover using ArcGIS

    lab1_thumb.png

  2. Scale: Quantifying Landcover Changes in Time and Space using R

    lab2_thumb.png

  3. Agents: Physical Controls on Vegetation using ArcGIS

    lab3_thumb.png

  4. Metrics: Measuring edge effects in the landscape using FragStats

    lab4_thumb.png

  5. Disturbance: Simulating fire regimes on forests using LANDIS

    lab5_thumb.png

  6. Species: Species distribution modeling using Maxent

    lab6_thumb.png

  7. Connectivity: Connectivity modeling using Circuitscape

    lab7_thumb.png

  8. Communities: Quantifying species diversity using Vegan in R

    lab8_thumb.png

  9. Planning: Conservation planning using Marxan

    lab9_thumb.png

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