<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Geospatial Data | Jared Macshane</title><link>https://jared-mac.github.io/tags/geospatial-data/</link><atom:link href="https://jared-mac.github.io/tags/geospatial-data/index.xml" rel="self" type="application/rss+xml"/><description>Geospatial Data</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 28 May 2024 00:00:00 +0000</lastBuildDate><image><url>https://jared-mac.github.io/media/icon_hu_645fa481986063ef.png</url><title>Geospatial Data</title><link>https://jared-mac.github.io/tags/geospatial-data/</link></image><item><title>Construction of trail networks based on growing self-organizing maps and public GPS data</title><link>https://jared-mac.github.io/publication/journal-article/trail-networks/</link><pubDate>Tue, 28 May 2024 00:00:00 +0000</pubDate><guid>https://jared-mac.github.io/publication/journal-article/trail-networks/</guid><description>&lt;p>This journal article extends the earlier SIEDS work with a fuller evaluation of growing self-organizing maps for trail-network construction. The method is particularly effective on sparse networks without substantial GPS noise.&lt;/p></description></item><item><title>AI Assisted Trail Map Generation based on Public GPS Data</title><link>https://jared-mac.github.io/publication/conference-paper/trail-map/</link><pubDate>Thu, 27 Apr 2023 00:00:00 +0000</pubDate><guid>https://jared-mac.github.io/publication/conference-paper/trail-map/</guid><description/></item><item><title>Geospatial Trail Mapping</title><link>https://jared-mac.github.io/project/trail-mapping/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://jared-mac.github.io/project/trail-mapping/</guid><description>&lt;p>This project developed a machine-learning pipeline for large-scale geospatial data processing and automated trail detection from noisy GPS traces.&lt;/p>
&lt;ul>
&lt;li>Designed a trail-network construction algorithm using growing self-organizing maps&lt;/li>
&lt;li>Processed noisy public GPS traces into cleaner map structure&lt;/li>
&lt;li>Implemented efficient data structures to improve computation performance&lt;/li>
&lt;li>Received the IEEE SIEDS Best Paper Award for the resulting publication&lt;/li>
&lt;/ul></description></item></channel></rss>