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<!DOCTYPE html>

<head>

<title>2017 Virtual Poster Session</title>

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<a class="navbar-brand" href="index.html">GEO 503: Spatial Data Science</a>

</div>

<li>

</li>

<li>

<a href="Syllabus.html">Syllabus</a>

</li>

<li>

<a href="Schedule.html">Schedule</a>

</li>

Content

</a>

<li>

<a href="CourseContent.html">About Course Content</a>

</li>

<li class="dropdown-header">Module 1: Introduction to R</li>

<li>

<a href="00_CourseIntroductionFrame.html">00 Course Introduction</a>

</li>

<li>

<a href="01_Rintro.html">01 First Steps</a>

</li>

<li>

<a href="02_graphics.html">02 Graphics</a>

</li>

<li>

<a href="03_DataWrangling.html">03 Data Wrangling</a>

</li>

<li>

<a href="03b_DataWrangling.html">03 Data Wrangling 2</a>

</li>

<li class="dropdown-header">Module 2: Spatial Analyses</li>

<li>

<a href="04_Spatial_with_sf.html">04 Spatial Data with sf</a>

</li>

<li>

<a href="05_Raster.html">05 Spatial Raster Data</a>

</li>

<li class="dropdown-header">Module 3: Advanced Programming</li>

<li>

<a href="06_CreatingWorkflows.html">06 Creating Workflows</a>

</li>

<li>

<a href="07_Reproducibile.html">07 Reproducible Research</a>

</li>

<li>

<a href="08_WeatherData.html">08 Weather Data Processing</a>

</li>

<li>

<a href="09_RemoteSensing_appeears.html">09 Satellite Data Processing</a>

</li>

<li>

<a href="11_ParallelProcessing.html">11 Parallel Processing</a>

</li>

<li>

<a href="12_DynamicVisualization.html">12 Dynamic Visualization</a>

</li>

<li>

<a href="13_SDM_Exercise.html">13 Species Distribution Modeling</a>

</li>

</ul>

</li>

Assignments

</a>

<li>

</li>

<li>

<a href="DataCamp.html">DataCamp</a>

</li>

<li>

<a href="PackageIntro.html">Package Introduction</a>

</li>

<li>

<a href="Project.html">Final Project</a>

</li>

</ul>

</li>

Resources

</a>

<li>

<a href="Provenance.html">Provenance</a>

</li>

<li>

<a href="Projects_2017.html">2017 Final Projects</a>

</li>

<li>

<a href="Resources.html">Resources</a>

</li>

<li>

<a href="GitSSHNotes.html">Setting up Github</a>

</li>

</ul>

</li>

</ul>

<li>

</a>

</li>

</ul>

</div>

</div>

</div>

<h1 class="title toc-ignore">2017 Virtual Poster Session</h1>

</div>

<p>This course uses a combination of lecture and hands-on exercises to provide a gentle introduction to programming in R with a focus on spatial data processing. The <a href="Project.html">final project</a> in the course is the construction of a reproducible research workflow as illustrated in the figure below.</p>

<p><img src="00_CourseIntroduction/assets/data-science.png" alt="Productivity" /> Figure from <em>R for Data Science</em> by Grolemund & Wickham (2017)</p>

<p>Each student wrote a script (using the <a href="https://www.r-project.org/">R</a> programming language) to perform these steps and generate a website showcasing their analysis. The focus of the course is on the design and implementation of the complete data processing research workflow itself (not any particular statistics/methods/models). The challenge is to string all the steps together in a <em>coherent, reproducible flow from raw data to final outputs</em>.</p>

<h2>Student Project Gallery</h2>

<p>You are invited to explore the student projects below (click on a thumbnail to visit their website). The embedded code reveals their methodological details in addition to their narrative and graphical stories. If you find something interesting, you are free to download and re-run the script to reproduce the entire analysis (from acquiring the original data through generating the tables/figures and even the webpage itself).</p>

<table>

<thead>

<tr>

Student

</th>

Title

</th>

</tr>

</thead>

<tbody>

<tr>

gsaugust

</td>

<a href="https://gsaugust.github.io/RDataScience_Project/">Visualizing Deforestation and Development in Indochina</a>

</td>

</tr>

<tr>

dongonchoi

</td>

<a href="https://dongonchoi.github.io/RDataScience_Project/">Visualizing Noise pollution in New York City</a>

</td>

</tr>

<tr>

finallyegg

</td>

<a href="https://finallyegg.github.io/RDataScience_Project/">Visualization of US airport delay in May 2017</a>

</td>

</tr>

<tr>

aflesnia

</td>

<a href="https://aflesnia.github.io/RDataScience_Project/">Long Term and Short Term Changes in Sea Ice Thickness</a>

</td>

</tr>

<tr>

faithlxy

</td>

<a href="https://faithlxy.github.io/RDataScience_Project/">Application of the p-Median Problem in Clinic Allocation</a>

</td>

</tr>

<tr>

luyc95

</td>

<a href="https://luyc95.github.io/RDataScience_Project/">Drought in Texas</a>

</td>

</tr>

<tr>

littlepennypaw

</td>

<a href="https://littlepennypaw.github.io/RDataScience_Project/">Investigator Networks at UB</a>

</td>

</tr>

<tr>

xhrui

</td>

<a href="https://xhrui.github.io/RDataScience_Project/">Visualization of air quality in Buffalo and the effective factors</a>

</td>

</tr>

<tr>

ebschust

</td>

<a href="https://ebschust.github.io/RDataScience_Project/">Graptolite Synonymies</a>

</td>

</tr>

<tr>

gcschwer

</td>

<a href="https://gcschwer.github.io/RDataScience_Project/">Sub-Watershed Land Use Analysis of the Eleven Finger Lakes</a>

</td>

</tr>

<tr>

hannahstokes

</td>

<a href="https://hannahstokes.github.io/RDataScience_Project/">Social Disparities of Sea Level Rise in Miami?</a>

</td>

</tr>

<tr>

atancyl

</td>

<a href="https://atancyl.github.io/RDataScience_Project/">Shrinking Cities’ Population Estimation: Night Lights as an Intermediary</a>

</td>

</tr>

<tr>

danqing1234

</td>

<a href="https://danqing1234.github.io/DanqingW_FirstDraft/">Niagara Falls Erosion vs. Time</a>

</td>

</tr>

<tr>

yifan70932

</td>

<a href="https://yifan70932.github.io/RDataScience_Project">Evolution of Religious Population</a>

</td>

</tr>

<tr>

went7

</td>

<a href="https://went7.github.io/Rfinal/">American Business Pattern</a>

</td>

</tr>

<tr>

jongseow

</td>

<a href="https://jongseow.github.io/RDataScience_Project/">Visualization of U.S. population mobility changes</a>

</td>

</tr>

<tr>

jessicatwood

</td>

<a href="https://jessicatwood.github.io/RDataScience_Project/">Habitat Suitability for Bison bison in The United States</a>

</td>

</tr>

<tr>

penghangliu

</td>

<a href="https://penghangliu.github.io/RDataScience_Project/">Crime Rates Analysis in New York States, 2016</a>

</td>

</tr>

<tr>

sarapete

</td>

<a href="https://sarapete.github.io/RDataScience_Project/">Visualizing Puerto Rican Homelessness in Western New York</a>

</td>

</tr>

<tr>

atancyl

</td>

<a href="https://atancyl.github.io/RDataScience_Project/">Shrinking Cities’ Population Estimation: Night Lights as an Intermediary</a>

</td>

</tr>

<tr>

kdvorenkamp

</td>

<a href="https://kdvorenkamp.github.io/RDataScience_Project/">The Hydrology of the Niagara River</a>

</td>

</tr>

</tbody>

</table>

</div>

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