Presentations

2024 Apr 23

Workflow-based GeoAI Analysis with No/Low-Code Visual Programming

Tue Apr 23 (All day) to Thu Apr 25 (All day)

Location: 

Boston Hynes Convention Center, Boston, MA

Abstract: 
In this training session, we will explore the utilization of low-code/no-code visual programming platforms to effectively integrate geospatial analysis with a variety of AI algorithms, including machine learning, deep learning, and Explainable AI. Designed primarily for data science novices, this training enables participants to easily embark on their journey without needing extensive programming expertise. They will learn to harness the platform for advanced spatial analysis and the development of sophisticated AI models.

The training is...

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2024 Mar 20

Cartographic Evolution with Out of Eden Walk

1:00pm to 3:00pm

Location: 

Virtual, for students in SSCI 589
A presentation by the CGA's Jeff Blossom for the course "SSCI 589 Cartography and Visualization", University of Southern California.
2023 Dec 07

Current State of Data Services at Harvard presentation

1:30pm to 3:00pm

Location: 

Harvard Kennedy School, Rubenstein Room 414

The CGA's Jeff Blossom will join the Social Sciences Council  data services colleagues from around the University on Thursday, December 7th at 1:30 p.m. for the Current State of Data Services at Harvard presentation.

Hear about the ongoing work, service offerings, and special projects happening in our libraries. The event will feature short presentations followed by a moderated panel discussion.

This...

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2023 Sep 27

Perspective on impactful applications that have been enabled by geospatial analytics

9:50am to 10:50am

Location: 

Shaich Family Alumni and Student Engagement Center (ASEC), Room 202, Clark University

This is Wendy Guan's presentation as a panelist on the Societal Impacts of Geospatial Analytics panel, in the Clark Center for Geospatial Analytics Strategic Launch Workshop.

For more information about the event, please visit: ...

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2023 Jun 26

A Comparative Study of Methods for Drive Time Estimation on Geospatial Big Data: A Case Study in the U.S.

Mon Jun 26 (All day) to Sun Jul 2 (All day)

Location: 

FOSS4G 2023

By: Xiaokang Fu, Devika Kakkar, Junyi Chen, Katie Moynihan, Thomas Hegland, Jeff Blossom

Abstract: Travel time estimation is crucial for several geospatial research studies, particularly healthcare accessibility studies. This paper presents a comparative study of six methods for drive time estimation on geospatial big data in the USA. The comparison is done with respect to the cost, accuracy, and scalability of these methods. The six methods examined are Google Maps API, Bing Maps API, Esri Routing Web Service, ArcGIS Pro Desktop, OpenStreetMap NetworkX (OSMnx), and...

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2023 Jun 06

Twitter Sentiment Geographical Index (TSGI)

Tue - Thu, Jun 6 to Jun 8, 8:00am - 5:00pm

Location: 

Yale University, New Haven, CT

By: Devika Kakkar

Promoting well-being is one of the key targets of the Sustainable Development Goals at the United Nations. Many national and city governments worldwide are incorporating subjective well-being (SWB) indicators into their agenda to complement traditional objective development and economic metrics. In this study, we develop the Twitter sentiment geographical index (TSGI), a proxy for SWB by applying natural language processing techniques on a comprehensive archive of 7.4 billion geotagged tweets, posted from 2012 to the present. In contrast to the previous works...

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2023 Mar 24

Spatiotemporal patterns of forestland change and impacts on carbon storage in China

2:50pm

Location: 

Denver, CO

AAG 2023 Annual Meeting

Authors: 

Zhen Wu, Nanjing University


Abstract

Carbon storage in terrestrial ecosystems and its changes have become the focus of research on climate and environmental changes, wherein forestland changes are the key driving factors affecting it. Studying the relationship between forestland change and carbon storage is helpful to better understand the impact mechanism of the...

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2023 Mar 23

Spatiotemporal Network Analysis of Cities in the Belt and Road Initiative Countries based on Social Media Mobility Index

2:50pm

Location: 

Denver, CO

AAG 2023 Annual Meeting

Authors: 

Lingbo Liu, Harvard University

Xiaokang Fu, Harvard University


Abstract

The ongoing spread of COVID-19, the war in Ukraine and the intensification of extreme climate events around the world are changing the world, which is also affecting cities participating in the Belt and...

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2023 Mar 23

Validation, calibration, and estimation of 2SFCA and i2SFCA. A case study from Shenzhen, China based on online appointment data

12:20pm

Location: 

Denver, CO

AAG 2023 Annual Meeting

Authors: 

Xiaokang Fu, CGA, Harvard

Lingbo Liu,

Meifang Li, Dartmouth


Abstract

2SFCA and i2SFCA are widely used to evaluate the accessibility of healthcare and the potential crowdedness of a...

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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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