Presentations

2022 Nov 16

Re-engineering the Lifecycle of Spatiotemporal Research with a Workflow-based Platform

12:00pm

Location: 

College Station, TX

Presenter: Wendy Guan

In: Urban Data Science Lab, School of Architecture, Texas A&M University

Abstract: In the era of the 4th industrial revolution, place and time are embedded in data from many sources, critical in solving global problems. However, spatiotemporal data handling is often costly and time consuming, requiring advanced skills. Analytical results are hard to reuse and difficult to share among researchers with different domain knowledge and varying technical skills. The Spatial Data Lab project (SDL) is aimed at solving these problems by re...

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2022 Nov 15

Geospatial Analytics for All

12:00pm

Location: 

Austin, TX

Presenters: Wendy Guan, Lingbo Liu and Tobias Koetter

In: KNIME Fall Summit 2022

Abstract: Organizations around the world depend on geospatial data for site selection, supply chain optimization,  environment management, fraud detection and more. Historically, accessing and analyzing this invaluable data, however, has required niche expertise, demanding deep experience with a wide array of data sources and libraries, as well as coding skills. Harvard’s Center for Geographic Analysis & KNIME have teamed up to enable non-expert users to unlock the...

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2022 Jul 12

Interactive Analysis of Big Geospatial Data with High-Performance Computing

11:30am

Location: 

San Diego, CA

Presenter: Benjamin Lewis

Co-authors: Devika Kakkar and Wendy Guan

In: Esri User Conference 2022. Session: GI Science: Transactions in GIS

Abstract: Researchers are increasingly working with large geospatial datasets that contain hundreds of millions of records. At this scale, traditional GIS methods may fall short and new approaches are needed to analyze the data. The objective of this work is to develop methods to interactively analyze and visualize big datasets and demonstrate it with a case study of partisan segregation. Historically,...

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