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Xiang Que
Researcher at Fujian Agriculture and Forestry University
Publications - 10
Citations - 24
Xiang Que is an academic researcher from Fujian Agriculture and Forestry University. The author has contributed to research in topics: Computer science & Environmental science. The author has an hindex of 2, co-authored 3 publications receiving 6 citations. Previous affiliations of Xiang Que include University of Idaho.
Papers
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Multiple-point geostatistical simulation based on conditional conduction probability
TL;DR: In this paper, the authors proposed a new MPS simulation method based on conditional conduction probability, namely the CCPSIM algorithm, to mitigate the uncertainty of MPS realizations.
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A spatiotemporal weighted regression model (STWR v1.0) for analyzing local nonstationarity in space and time
TL;DR: This research validates the ability of STWR to take full advantage of all the value variation of past observed points and hopes it can bring fresh ideas and new capabilities for analyzing and interpreting local spatiotemporal nonstationarity in many disciplines.
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Parallel computing for Fast Spatiotemporal Weighted Regression
TL;DR: F-STWR can significantly improve STWR's capability of processing large-scale spatiotemporal data and is tested in a High-Performance Computing environment with a total number of 204,611 observations in 19 years.
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Toward Trust-Based Recommender Systems for Open Data: A Literature Review
TL;DR: This paper conducts a systematic literature review of open data, social trust, and recommender systems to explain the fundamental concepts and illustrate the potential of using trust-basedRecommender systems for open data portals.
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Land Cover Impacts on Surface Temperatures: Evaluation and Application of a Novel Spatiotemporal Weighted Regression Approach
TL;DR: In this paper , a spatiotemporal weighted regression framework (STWR) was proposed to evaluate the long-term impacts of land cover on the urban heat island (UHI) effect.