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    Remote sensing data processing – NEON airborne data
    Concepts of remote sensing and data logistics, and NEON remote sensing data are introduced. Students learn how to apply spatial data processing and visualization skills using R coding program to...
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    Testing hypotheses about the role of wildfire in structuring avian communities
    This module assesses the role of wildfire in the eastern US and its impact on bird communities using NEON bird survey data from pre- and post- a major wildfire in the Great Smoky Mountains National...
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    NEON_PDSI
    Users access and manipulate drought data and visualize these data to learn about historical drought patterns.
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    Investigating the effects of urbanization on bird biodiversity: Testing three biodiversity hypotheses using citizen science data
    Students generate predictions and test three hypotheses about how biodiversity is affected by urbanization over time using citizen science generated bird count data and land use data from 13...
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    NEON Data in the Classroom: Quantifying Spatial Patterns
    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...
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    Data Nugget- City Parks and Texas A&M University-Kingsville Camera Trap Assignment
    The Data Nugget- City Parks module was used in a sophomore-junior level undergraduate wildlife management techniques course (with lab) in Fall 2017. Modifications were made to the original Data...
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    Using IPAT to Measure Urban Sustainability
    Urban sustainability can be complicated to measure because sustainability means different things to different people. This challenge can be partially overcome through adoption of a guiding...
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