Geo-Coordinated Parallel Coordinates (GCPC): Field trial studies of environmental data analysis
作者机构：University of ReginaCanada
出 版 物：《Visual Informatics》 (可视信息学（英文）)
年 卷 期：2018年第2卷第2期
页 面：111-124页
核心收录：
学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学]
主 题：Geovisual analytics Heterogeneous data visualization High dimensional data visualization Field trial evaluations
摘 要：The large number of environmental problems faced by society in recent years has driven researchers to collect and study massive amounts of data in order to understand the complex relations that exist between people and the environment in which we *** datasets are often high dimensional and heterogeneous in nature,with complex geospatial *** such data can be challenging,especially when there is a need to maintain spatial awareness as the non-spatial attributes are ***-Coordinated Parallel Coordinates(GCPC)is a geovisual analytics approach designed to support exploration and analysis within complex geospatial environmental *** coordinates are tightly coupled with a geospatial representation and an investigative scatterplot,all of which can be used to show,reorganize,filter,and highlight the high dimensional,heterogeneous,and geospatial aspects of the *** sets of field trials were conducted with expert data analysts to validate the real-world benefits of the approach for studying environmental *** results of these evaluations were positive,providing real-world evidence and new insights regarding the value of using GCPC to explore among environmental datasets when there is a need to remain aware of the geospatial aspects of the data as the non-spatial elements are studied.
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