{"title":"多维时间可视化","authors":"Luther A. Tychonievich, Robert P. Burton","doi":"10.1117/12.901551","DOIUrl":null,"url":null,"abstract":"Time generally is assumed to be a scalar: it can be sorted, is unidirectional, and has only a single dimension. In this work \nwe demonstrate that vector-valued multidimensional time can be defined meaningfully, simulated efficiently, and visualized \nin an interactive manner. We present two particular simulations, providing a first look at what hypertime may be \"like\" \nfrom both a physical and a navigational perspective. Although similar in many ways to our experience, mT phenomena \nalso differ from 1T phenomena on a fundamental level. Our visualization framework motivates observations of some of \nthese differences and helps us identify a variety of open tasks that will further our understanding of the characteristics of \ntime, whatever its dimensionality. Together, these results form a basis from which arbitrary space-time dimensionalities \ncan be understood.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"20 1","pages":"829410"},"PeriodicalIF":0.0000,"publicationDate":"2012-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Visualization of multidimensional time\",\"authors\":\"Luther A. Tychonievich, Robert P. Burton\",\"doi\":\"10.1117/12.901551\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Time generally is assumed to be a scalar: it can be sorted, is unidirectional, and has only a single dimension. In this work \\nwe demonstrate that vector-valued multidimensional time can be defined meaningfully, simulated efficiently, and visualized \\nin an interactive manner. We present two particular simulations, providing a first look at what hypertime may be \\\"like\\\" \\nfrom both a physical and a navigational perspective. Although similar in many ways to our experience, mT phenomena \\nalso differ from 1T phenomena on a fundamental level. Our visualization framework motivates observations of some of \\nthese differences and helps us identify a variety of open tasks that will further our understanding of the characteristics of \\ntime, whatever its dimensionality. Together, these results form a basis from which arbitrary space-time dimensionalities \\ncan be understood.\",\"PeriodicalId\":89305,\"journal\":{\"name\":\"Visualization and data analysis\",\"volume\":\"20 1\",\"pages\":\"829410\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Visualization and data analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.901551\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Visualization and data analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.901551","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Time generally is assumed to be a scalar: it can be sorted, is unidirectional, and has only a single dimension. In this work
we demonstrate that vector-valued multidimensional time can be defined meaningfully, simulated efficiently, and visualized
in an interactive manner. We present two particular simulations, providing a first look at what hypertime may be "like"
from both a physical and a navigational perspective. Although similar in many ways to our experience, mT phenomena
also differ from 1T phenomena on a fundamental level. Our visualization framework motivates observations of some of
these differences and helps us identify a variety of open tasks that will further our understanding of the characteristics of
time, whatever its dimensionality. Together, these results form a basis from which arbitrary space-time dimensionalities
can be understood.