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.
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.
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Introduction: Touring Landcover using ArcGIS
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Scale: Quantifying Landcover Changes in Time and Space using R
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Agents: Physical Controls on Vegetation using ArcGIS
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Metrics: Measuring edge effects in the landscape using FragStats
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Disturbance: Simulating fire regimes on forests using LANDIS
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Species: Species distribution modeling using Maxent
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Connectivity: Connectivity modeling using Circuitscape
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Communities: Quantifying species diversity using Vegan in R
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Planning: Conservation planning using Marxan
