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<h1 class="title toc-ignore">Projects</h1>
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<p>In the summer of 2020, I took an introduction to GIS course that utilizes R studio to map data. Below are the links to my projects performing various GIS and data analysis functions.</p>
<div id="lab-1-data-science-workflows" class="section level2">
<h2><a href="https://kaitlynf.github.io/">Lab 1: Data Science Workflows</a></h2>
<ul>
<li>Learned how to open a user site on Github.</li>
<li>Built a site to display my work.</li>
<li>Personalized with my information and practiced attaching URLs and images.</li>
</ul>
</div>
<div id="lab-2-data-wrangling" class="section level2">
<h2><a href="https://kaitlynf.github.io/geog-176A-labs/lab-02.html">Lab 2: Data Wrangling</a></h2>
<ul>
<li>Loaded in raw data to filter, manipulate, and analyze.</li>
<li>Cross-referenced and joined different data frames to gather necessary data.</li>
<li>Presented relevant data in tables and figures.</li>
</ul>
</div>
<div id="lab-03-projections-distances-and-mapping" class="section level2">
<h2><a href="https://kaitlynf.github.io/geog-176A-labs/lab-03.html">Lab 03: Projections, Distances, and Mapping</a></h2>
<ul>
<li>Created sf objects of the United States from R packages and CSV files.</li>
<li>Calculated distances of US cities from US’s national border, states borders, Mexican border, and Canadian border.</li>
<li>Utilized ggplot tool to plot the findings.</li>
</ul>
</div>
<div id="lab-04-tesselations-spatial-joins-and-point-in-polygon" class="section level2">
<h2><a href="https://kaitlynf.github.io/geog-176A-labs/lab-04.html">Lab 04: Tesselations, Spatial Joins, and Point-in-Polygon</a></h2>
<ul>
<li>Mapped the surface of Contiguous United States with original counties boundaries, square grid, hexagonal grid, voronoi tessellation, and triangulated tessellation.</li>
<li>Created functions and point-in-polygon functions to process the data more efficiently.</li>
<li>Analyzed the purposes of dams across CONUS with data from the National Dam Inventory.</li>
</ul>
</div>
<div id="lab-05-raster-analysis" class="section level2">
<h2><a href="https://kaitlynf.github.io/geog-176A-labs/lab-05.html">Lab 05: Raster Analysis</a></h2>
<ul>
<li>Identified the area of interest by filtering data, generating buffer zone, and bounding the area.</li>
<li>Acquired data and images from online database.</li>
<li>Manipulated and analyzed landsat imagery and created threshold indexes.</li>
<li>Used k-means clustering algorithm to group raster cells with similar spectral properties.</li>
</ul>
</div>
<div id="lab-06-terrain-analysis" class="section level2">
<h2><a href="https://kaitlynf.github.io/geog-176A-labs/lab-06.html">Lab 06: Terrain Analysis</a></h2>
<ul>
<li>Loaded in boundary data, elevation data, and buildings and river-network data to analyze flood risk.</li>
<li>Created hillshade raster and “Height Above Nearest Drainage” (HAND) raster for terrain analysis.</li>
<li>Used the loaded data to analyze the impact of 2017 flood to the surrrounding area.</li>
</ul>
</div>
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