iWURanking is one of the three case study maps for the paper titled "dciWebMapper: A data-driven and coordinated-view-enabled interactive web mapping framework for visualizing and sensing high-dimensional geospatial (big) data", which is published in Transaction in GIS. A pre-print version can be found here. The other two maps are iLit4GEE-AI and iTRELISmap.

iWURanking aims to visualize the dataset of the QS University Ranking, so students and scholars around the world could gain knowledge and insights about the universities to help them make wise decisions for their future institution of higher education and/or job-seeking through geospatial big data and geovisualization.

Web app team:

• Web map advisor (data structure design, web design, web programming,and web app icon design):
  Dr. Liping Yang (lipingyang@unm.edu)
• Web map design and developer, data collector: Sarigai Sarigai (sarigaigis@gmail.com)

• Web app icon designer and illustrator: Katie Slack (@unm.edu)

Acknowledgements:

• QS
• dc.js
• D3
• Leaflet
• Web app of review paper "Intelligent Water Information Extraction Using AI"
• Kaggle projrct: QS World University Rankings EDA & Visualization

Our web app visitor map

GeoAIR lab advocates open source and supports open science. Any one can use/modify our web app code, commercial or personal use, BUT you are REQUIRED to give credits explicitly to GeoAIR lab.The iWURanking web app is under the MIT license.