https://scholars.lib.ntu.edu.tw/handle/123456789/373014
標題: | Advanced space-time predictive analysis with STAR-BME | 作者: | HWA-LUNG YU Ku, Shang-Jen Kolovos, Alexander |
關鍵字: | BME; modeling; prediction; spatiotemporal analysis; stochastic processes | 公開日期: | 2012 | 起(迄)頁: | 593-596 | 來源出版物: | GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems | 摘要: | Stochastic analysis and prediction is an important component of space-time data processing for a broad spectrum of Geographic Information Systems scientists and end users. For this task, a variety of numerical tools are available that are based on established statistical techniques. We present an original software tool that implements stochastic data analysis and prediction based on the Bayesian Maximum Entropy methodology, which has attractive advanced analytical features and has been known to address shortcomings of common mainstream techniques. The proposed tool contains a library of Bayesian Maximum Entropy analytical functions, and is available in the form of a plugin for the Quantum GIS open source Geographic Information System software. |
URI: | http://www.scopus.com/inward/record.url?eid=2-s2.0-84872821266&partnerID=MN8TOARS http://scholars.lib.ntu.edu.tw/handle/123456789/373014 |
DOI: | 10.1145/2424321.2424424 |
顯示於: | 生物環境系統工程學系 |
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