{"title":"城市传感中的地理视角","authors":"Veronika Mooses","doi":"10.1145/2494091.2499221","DOIUrl":null,"url":null,"abstract":"In city sensing there are many methods for capturing people's movements and city crowdedness. Each method has advantages and disadvantages. This paper argues that geographical phenomenon like spatial segregation can have a major influence on the results in fixed sensing therefore a structured location choice is needed. Mobile positioning as a new technology data collection method opens up great possibilities in city sensing.","PeriodicalId":220524,"journal":{"name":"Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Geographical perspective in city sensing\",\"authors\":\"Veronika Mooses\",\"doi\":\"10.1145/2494091.2499221\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In city sensing there are many methods for capturing people's movements and city crowdedness. Each method has advantages and disadvantages. This paper argues that geographical phenomenon like spatial segregation can have a major influence on the results in fixed sensing therefore a structured location choice is needed. Mobile positioning as a new technology data collection method opens up great possibilities in city sensing.\",\"PeriodicalId\":220524,\"journal\":{\"name\":\"Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2494091.2499221\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2494091.2499221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In city sensing there are many methods for capturing people's movements and city crowdedness. Each method has advantages and disadvantages. This paper argues that geographical phenomenon like spatial segregation can have a major influence on the results in fixed sensing therefore a structured location choice is needed. Mobile positioning as a new technology data collection method opens up great possibilities in city sensing.