BEGIN:VCALENDAR
VERSION:2.0
X-WR-CALNAME;VALUE=TEXT:Training Workshop on “Spatial Data Lab”
PRODID:-//Harvard events data//EN
BEGIN:VEVENT
UID:event_1443559_0
SUMMARY:Training Workshop on “Spatial Data Lab”
DESCRIPTION:<p align="center" style="margin-bottom:.0001pt;text-align:center">	<span style="background:white"><span style="line-height:18.0pt"><strong>Training Workshop on “Spatial Data Lab”</strong></span></span></p><p align="center" style="margin-bottom:.0001pt;text-align:center">	<span style="background:white"><span style="line-height:18.0pt"><span lang="EN-US"><span style="color:black">Co-Organized by </span></span></span></span></p><p align="center" style="margin-bottom:.0001pt;text-align:center">	<span style="background:white"><span style="line-height:18.0pt"><strong>China Data Institute</strong></span></span></p><p align="center" style="margin-bottom:.0001pt;text-align:center">	<span style="background:white"><span style="line-height:18.0pt"><strong>Geospatial Center for Social Sciences, Wuhan University</strong></span></span></p><p align="center" style="margin-bottom:.0001pt;text-align:center">	<span style="background:white"><span style="line-height:18.0pt"><span lang="EN-US"><span style="color:black">Wuhan University</span></span></span></span></p><p align="center" style="margin-bottom:.0001pt;text-align:center">	<span style="background:white"><span style="line-height:18.0pt"><span lang="EN-US"><span style="color:black">July 9, 2019 (Beijing Time)</span></span></span></span></p><p>	 </p><p>	 </p><p>	<strong>8:30am-9:45am</strong></p><p>	<strong>I</strong><strong>：</strong><strong>Web Conference </strong></p><ul>	<li>		<strong>Open platform for spatial data sharing with WorldMap</strong><span><span style="line-height:107%"><span style="color:black">, Wendy Guan, Harvard University</span></span></span>	</li>	<li>		<strong>Open platform for data management with DataVerse</strong><span><span style="line-height:107%"><span style="color:black">, Gustavo Durand and Danny Brooke, Harvard University</span></span></span>	</li>	<li>		<strong>Spatial data analysis with GeoDa and GeoDaSpace</strong><span><span style="line-height:107%"><span style="color:black">, Xun Li, University of Chicago</span></span></span>	</li>	<li>		<strong>Drive data and AI with workflow tools</strong><span><span style="line-height:107%"><span style="color:black">, Alex Liu, RMDS/IBM</span></span></span>	</li>	<li>		<strong>Integrate, Automate, Innovate Self-Service Analytics</strong><span><span style="line-height:107%"><span style="color:black">, Sandeep Saini, Grazitti</span></span></span>	</li></ul><p>	<strong>Note</strong><span><span style="line-height:107%"><span style="color:red">: The web conference in the morning will be open for public. Please click here for <span style="color:red"><a href="https://www.eventbrite.com/e/training-workshop-on-spatial-data-lab-tickets-64002045842"><span style="color:red">the <strong>online registration</strong></span></a></span>. After registering, you will receive an email notice containing information about joining the webinar. </span></span></span></p><p>	<strong>9:45am-10:45am</strong></p><p>	<strong>II</strong><strong>：</strong><strong>Spatial Data </strong></p><ul>	<li>		<strong>Global land use with remote sensed data</strong><span><span style="line-height:107%"><span style="color:black">, Jie Wang, Tshinghua University</span></span></span>	</li>	<li>		<strong>Remote sensed data from Luojia Satellite</strong><span><span style="line-height:107%"><span style="color:black">, TBD, Wuhan University</span></span></span>	</li>	<li>		<strong>Spatial data mining and visualization</strong><span><span style="line-height:107%"><span style="color:black">, Ella Li, Wayhe Tech</span></span></span>	</li>	<li>		<strong>Spatial data integration and intelligent analysis</strong><span><span style="line-height:107%"><span style="color:black">, Jingyu Qiu, Wayz Tech</span></span></span>	</li></ul><p>	<strong>10:45am-11:00am: Break</strong></p><p>	<strong>11:00am-12:00pm </strong></p><p>	<strong>III</strong><strong>：</strong><strong>Workflow Based Tools </strong></p><ul>	<li>		<span><span style="line-height:107%"><span style="color:black">Workflow data analysis with ArcGIS</span></span></span>	</li>	<li>		<span><span style="line-height:107%"><span style="color:black">Workflow data analysis with Alteryx</span></span></span>	</li>	<li>		<span><span style="line-height:107%"><span style="color:black">Workflow data analysis with Jupyter</span></span></span>	</li>	<li>		<span><span style="line-height:107%"><span style="color:black">Workflow data analysis with R AnalyticFlow</span></span></span>	</li></ul><p>	<strong>1:00pm-1:30pm</strong></p><p>	<strong>IV</strong><strong>：</strong><strong>Platform for Research and Teaching </strong></p><ul>	<li>		<strong>China Geo-explorer</strong><span><span style="line-height:107%"><span style="color:black"> (</span></span></span><span><span style="line-height:107%"><a href="http://chinageoexplorer.com">http://chinageoexplorer.com</a></span></span><span><span style="line-height:107%"><span style="color:black"> ) </span></span></span>	</li>	<li>		<strong>The cloud based platform for data research and teaching</strong><span lang="ZH-CN"><span style="line-height:107%"><span><span style="color:black">（</span></span></span></span><span><span style="line-height:107%"><a href="http://chinadatalab.net">http://chinadatalab.net</a></span></span><span lang="ZH-CN"><span style="line-height:107%"><span><span style="color:black">）</span></span></span></span>	</li></ul><p>	<strong>1:30pm-2:45pm</strong></p><p>	<strong>V</strong><strong>：</strong><strong>Workflow Based Data Case Studies </strong></p><ul>	<li>		<span><span style="line-height:107%"><span style="color:black">Spatial factor analysis of road network based on the traffic accidents</span></span></span>	</li>	<li>		<span><span style="line-height:107%"><span style="color:black">Changes in human induced turbidity in Poyang Lake based om remote sensed data</span></span></span>	</li>	<li>		<span><span style="line-height:107%"><span style="color:black">Air quality analysis with social media data</span></span></span>	</li>	<li>		<span><span style="line-height:107%"><span style="color:black">Space-time analysis of high education in China</span></span></span>	</li>	<li>		<span><span style="line-height:107%"><span style="color:black">Spatial panel data analysis in regional development</span></span></span>	</li></ul><p>	<strong>2:45pm-3:00pm Break</strong></p><p>	<strong>3:00pm-4:30pm</strong></p><p>	<strong>VI</strong><strong>：</strong><strong>Practice of Data Case Studies in Research and Teaching</strong></p><ul>	<li>		<strong>Practice of data case studies in teaching</strong>	</li>	<li>		<strong>Spatially integrated historical photographs of China: Sidney Gamble digital collection at Duke University</strong><span><span style="line-height:107%"><span style="color:black">, Luo Zhou, Duke University Library</span></span></span>	</li>	<li>		<strong>Practice of data case studies on site</strong>	</li></ul><p>	<strong>4:30pm-5:30pm</strong></p><p>	<strong>Discussions: Collaboration on Spatial Data Research and Teaching </strong></p><p>	 </p><p>	<strong>Contact</strong><strong>：</strong></p><p>	<span lang="EN-US"><span style="line-height:107%"><span style="color:black">Yuanzhen Shao: </span></span></span><a href="mailto:yshao@whu.edu.cn"><span><span style="line-height:107%">yshao@whu.edu.cn</span></span></a></p><p>	<a href="http://www.lmars.whu.edu.cn/gcss/index.php/zxdt/290.html"><span><span style="line-height:107%">http://www.lmars.whu.edu.cn/gcss/index.php/zxdt/290.html</span></span></a></p>
LOCATION:Wuhan, China
STATUS:CONFIRMED
DTSTART:20190709T040000Z
DTEND:20190709T040000Z
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