{"title":"基于空间的应急决策数据依赖建模方法","authors":"Li Li, Fei Wang, Xiaocui Zheng","doi":"10.1109/GEOINFORMATICS.2015.7378664","DOIUrl":null,"url":null,"abstract":"The occurrence of emergencies often causes great losses. A timely and effective emergency decision will significantly minimize the losses. Comprehensive and appropriate datasets determine the success of the emergency decision-making. However, the relationship between the needed data and the particular emergency decision target is very complex. Different types and stages of the emergencies need different kinds of data to assist the decision-making, and the emergency data is often associated with various attributes including the spatial one. Thus, it is hard to tell which datasets are really necessary for a specific emergency decision target. In this paper, firstly, the establishment of an emergency decision-making target model is put forward to classify distinguished stages. Based on that, the dependency modeling method of “one to many” between one decision target and many spatial based emergency datasets is proposed. The examples of schematic diagram of data dependency model under three-level target are described.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A spatial based data dependency modeling method for emergency decision making\",\"authors\":\"Li Li, Fei Wang, Xiaocui Zheng\",\"doi\":\"10.1109/GEOINFORMATICS.2015.7378664\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The occurrence of emergencies often causes great losses. A timely and effective emergency decision will significantly minimize the losses. Comprehensive and appropriate datasets determine the success of the emergency decision-making. However, the relationship between the needed data and the particular emergency decision target is very complex. Different types and stages of the emergencies need different kinds of data to assist the decision-making, and the emergency data is often associated with various attributes including the spatial one. Thus, it is hard to tell which datasets are really necessary for a specific emergency decision target. In this paper, firstly, the establishment of an emergency decision-making target model is put forward to classify distinguished stages. Based on that, the dependency modeling method of “one to many” between one decision target and many spatial based emergency datasets is proposed. The examples of schematic diagram of data dependency model under three-level target are described.\",\"PeriodicalId\":371399,\"journal\":{\"name\":\"2015 23rd International Conference on Geoinformatics\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 23rd International Conference on Geoinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GEOINFORMATICS.2015.7378664\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 23rd International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A spatial based data dependency modeling method for emergency decision making
The occurrence of emergencies often causes great losses. A timely and effective emergency decision will significantly minimize the losses. Comprehensive and appropriate datasets determine the success of the emergency decision-making. However, the relationship between the needed data and the particular emergency decision target is very complex. Different types and stages of the emergencies need different kinds of data to assist the decision-making, and the emergency data is often associated with various attributes including the spatial one. Thus, it is hard to tell which datasets are really necessary for a specific emergency decision target. In this paper, firstly, the establishment of an emergency decision-making target model is put forward to classify distinguished stages. Based on that, the dependency modeling method of “one to many” between one decision target and many spatial based emergency datasets is proposed. The examples of schematic diagram of data dependency model under three-level target are described.