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#2300, v1.0 Published:
#2383, v1.0 Published:

Title

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1Remote Sensing of Plants and Topography in R (Project EDDIE) 1Remote Sensing of Plants and Topography in R (Project EDDIE) for Advanced GIS class

Authors

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1Kyla M. Dahlin (Michigan State University) 1Kristen Brubaker ()
2Andrew Haveles () 2Kristen Brubaker ()

Description

Old VersionNew Version
2  2  
3<p>Successful students will produce a series of figures in R representing different vegetation and landscape variables, then compare these via scatterplots and regression. They will do this first with a single data set, then on a different data set of their choosing. Students will understand how to quantify the influence of topography on vegetation across multiple biomes. Students will practice statistical methods (regression, graphing) and develop higher-order thinking skills including hypothesis generation and synthesis. The final goal is for students to interpret the large scale spatial patterns of correlations, attributing their variation to geographical drivers like latitude, biome, or geologic history.</p>  3<p>Successful students will produce a series of figures in R representing different vegetation and landscape variables, then compare these via scatterplots and regression. They will do this first with a single data set, then on a different data set of their choosing. Students will understand how to quantify the influence of topography on vegetation across multiple biomes. Students will practice statistical methods (regression, graphing) and develop higher-order thinking skills including hypothesis generation and synthesis. The final goal is for students to interpret the large scale spatial patterns of correlations, attributing their variation to geographical drivers like latitude, biome, or geologic history.</p>  
4  4  
5<p>Overall Learning Goals are for students to:</p>  5<p><strong>Overall Learning Goals are for students to:</strong></p>
6  6  
7<ul>  7<ul>  
8   <li>Test whether plant growth (greenness and height) is driven more by elevation, slope, or aspect.</li>  8   <li>
9   <li>Investigate an ecological question at both local and continental scales.</li>  9   <p paraeid="{f62cfb17-1af8-4422-a8c7-2fa7070c86de}{43}" paraid="1309240404">I want students to gain experience and confidence in using large quantitative datasets in their analysis. I also want students to experience using data to answer a real-world scientific question, and to work through an analysis from start to finish.&nbsp;I would also like them to be able to use their data to design questions, and then answer those questions with data.&nbsp;&nbsp;</p>
10   <li>Analyze spatial raster data in R, moving between making maps and doing non-spatial statistical tests.</li>  10
11   <li>Consider macroscale (continental scale) patterns of relationships between topography and vegetation.</li>  11   <p paraeid="{f62cfb17-1af8-4422-a8c7-2fa7070c86de}{51}" paraid="1836158555"><strong>Quantitative learning objective&nbsp;</strong></p>
   12
   13   <p paraeid="{f62cfb17-1af8-4422-a8c7-2fa7070c86de}{57}" paraid="2045484671">Students should gain confidence with data and use data for basic quantitative reasoning skills.&nbsp;Students should understand the basics of what a regression is.&nbsp;&nbsp;</p>
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   15   <p paraeid="{f62cfb17-1af8-4422-a8c7-2fa7070c86de}{65}" paraid="379202430"><strong>Working with data learning objective&nbsp;</strong></p>
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   17   <p paraeid="{f62cfb17-1af8-4422-a8c7-2fa7070c86de}{71}" paraid="62837701">Students should learn that R is a basic analysis tool that can be used with spatial data. I also want them&nbsp;to&nbsp;learn about NEON as a data source.&nbsp;&nbsp;</p>
   18   </li>
12</ul>  19</ul>  
13  20  
14<p><strong><a href="https://serc.carleton.edu/eddie/teaching_materials/modules/remote_sense_plant_topo.html">Full module details</a></strong></p> 21<p><strong><a href="https://serc.carleton.edu/eddie/teaching_materials/modules/remote_sense_plant_topo.html">Full module details</a></strong></p>
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   23<p><strong>Instructor notes are contained in a separate document.&nbsp;</strong></p>

Attachments

1 link — Remote Sensing of Plants and Topography in R 1 file — KristenBrubaker/dahlin_eddie_code_20191028 2.v2
2 file — KristenBrubaker/EDDIE worksheet.docx
3 file — KristenBrubaker/Instructor notes.docx
4 file — KristenBrubaker/vegetation and topography.pptx
5 link — Remote Sensing of Plants and Topography in R
6 file — KristenBrubaker/data.jpg