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Wenwen Li
Researcher at Arizona State University
Publications - 133
Citations - 3270
Wenwen Li is an academic researcher from Arizona State University. The author has contributed to research in topics: Geospatial analysis & Cyberinfrastructure. The author has an hindex of 26, co-authored 118 publications receiving 2398 citations. Previous affiliations of Wenwen Li include Chinese Academy of Sciences & University of California, Santa Barbara.
Papers
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Extracting and understanding urban areas of interest using geotagged photos
TL;DR: A coherent framework for extracting and understanding urban AOI based on geotagged photos, identified using DBSCAN clustering algorithm, understood by extracting distinctive textual tags and preferable photos, and discussed the spatiotemporal dynamics as well as some insights derived from the AOi are presented.
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Remote sensing of the surface urban heat island and land architecture in Phoenix, Arizona: Combined effects of land composition and configuration and cadastral-demographic-economic factors
TL;DR: In this article, the role of land architecture and land cover composition on land surface temperature (LST) and the surface urban heat island effect of Phoenix, Arizona has been investigated for two randomly selected samples comprising 523 and 545 residential neighborhoods in the city.
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Using geolocated Twitter data to monitor the prevalence of healthy and unhealthy food references across the US
Michael J. Widener,Wenwen Li +1 more
TL;DR: Results show that these disadvantaged census tracts tend to have both a lower proportion of tweets about healthy foods with a positive sentiment, and a higher proportion of unhealthy tweets in general, substantiate the methods used by the USDA to identify regions that are at risk of having low access to healthy foods.
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An efficient measure of compactness for two-dimensional shapes and its application in regionalization problems
TL;DR: This article proposes an effective and efficient approach to computing shape compactness based on the moment of inertia (MI), a well-known concept in physics, and conducts a number of experiments that demonstrate the superiority of the MI over the popular isoperimetric quotient approach.
Posted Content
Constructing Gazetteers from Volunteered Big Geo-Data Based on Hadoop
TL;DR: This research builds a scalable distributed platform and a high-performance geoprocessing workflow based on the Hadoop ecosystem to harvest crowd-sourced gazetteer entries and introduces a provenance-based trust model for quality assurance.