Dec 6, 2022| By Qunying Huang Digital footprints or trajectory datasets collected from social media platforms are typically recorded as sequences of locations with timestamps to represent individual trajectories. Using them to study human movement …
Research paper on “Geographic context-aware text mining: enhance social media message classification for situational awareness by integrating spatial and temporal features” published in IJDE
Reference: Scheele C., Yu M. and Huang Q., 2021. Geographic context-aware text mining: enhance social media message classification for situational awareness by integrating spatial and temporal features. International Journal of Digital Earth, pp.1-23. DOI: https://doi.org/10.1080/17538947.2021.1968048. …
Hiring: 3~4 Student Hourly Positions for Remote Sensing Data Annotation and Processing
Anticipated Start Date: February 15th, 2021 Anticipated End Date (If Applicable): March 15th, 2021 Remote Work Eligibility Detail: Entirely remote or contactless during COVID-19 pandemic. Anticipated Hours Per Week: 5~10 hours per week Schedule: …
Urban Flood Mapping with Machine Learning, Computer vision, and Remote Sensing
Updated on Sep 7, 2023| By Qunying Huang Remote sensing imagery and pattern recognition algorithms, such as support vector machines, and deep learning models, are increasingly used to map flood extent. However, current models rely …
Spatial Database: Connect to PostgreSQL/PostGIS Through QGIS
To visualize datasets in PostgreSQl/PostGIS, you can connect the database through a GIS software, such as QGIS or ArcGIS. Here shows general steps to access and visualize spatial layers (tables), as well as query results, …
Altas’s work was featured in multiple news
A geographic shift: Majority of Dane County COVID-19 cases now outside Madison Source >> ‘Improve their awareness of danger’: UW-Madison Ph.D. student creates COVID-19 data dashboard Source >> Good job, Atlas! We are proud of …
Research paper on “Activity knowledge discovery: Detecting collective and individual activities with digital footprints and open source geographic data” published in Computers, Environment and Urban Systems
Reference: Liu, X., Huang Q., Gao S. and Xia J., 2020. Activity knowledge discovery: Detecting collective and individual activities with digital footprints and open source geographic data. Computers, Environment and Urban Systems, 85, p.101551. DOI: 1016/j.compenvurbsys.2020.101551. Paper …
COVID-19 Data Dashboard
An interactive COVID-19 data dashboard by Atlas Guo in our lab is available on both desktop and mobile.
Review paper on situational awareness extraction during natural hazards through social media accepted in Annals of GIS 2020
Reference: Jirapa Vongkusolkit & Qunying Huang (2020) Situational awareness extraction: a comprehensive review of social media data classification during natural hazards, Annals of GIS, DOI: 10.1080/19475683.2020.1817146 Abstract: Social media (e.g., Twitter and Facebook) can be regarded as vital sources of …
CFP: IEEE ICMLA-2020 Special Session on AI with Geographic Information Systems for Social Good
The purpose of the IEEE ICMLA 2020 workshop on AI with Geographic Information Systems for Social Good is to disseminate the research focusing on social problems for which the synthesis of AI and GIS has the potential to offer innovative solutions. This workshop aims to bring together researchers and practitioners across AI, GIS, and a range of application domains on the frontiers of frameworks, theories, and methods.