Development of a methods for analysis of uncertain spatial data on critical events

Research Project

Project/Area Number	20760400
Research Category	Grant-in-Aid for Young Scientists (B)
Allocation Type	Single-year Grants
Research Field	Town planning/Architectural planning
Research Institution	The University of Tokyo
Principal Investigator	KATAOKA Yusuke The University of Tokyo, 空間情報科学研究センター, 助教 (90451898)
Project Period (FY)	2008 – 2009
Project Status	Completed (Fiscal Year 2009)
Budget Amount *help	¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000) Fiscal Year 2009: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000) Fiscal Year 2008: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Keywords	空間情報分析 / 解析・評価 / 地理情報システム / 都市計画 / 最適化
Research Abstract	A method for spatial data analysis focused on distributions of incidence points is developed to recognize the spatial trend in critical events. Two probability density functions are based on the distributions of the known points of the past and unknown points by kernel density estimation method, and the difference between these functions is formulated as integrated squared error. A method that approximates the distribution of known points by unknown ones and its solution using point data are proposed by minimizing the spatial difference between the two distributions.

Report

(3 results)