Aaron Lowe, Svend C. Svendsen, P. Agarwal, L. Arge
{"title":"地形上的1D和2D流路由","authors":"Aaron Lowe, Svend C. Svendsen, P. Agarwal, L. Arge","doi":"10.1145/3397536.3422269","DOIUrl":null,"url":null,"abstract":"An important problem in terrain analysis is modeling how water flows across a terrain creating floods by forming channels and filling depressions. In this paper we study a number of flow-query related problems: given a terrain Σ represented as a triangulated xy-monotone surface with n vertices, and a rain distribution R which may vary over time, determine how much water is flowing over a given edge as a function of time. We develop internal-memory as well as I/O-efficient algorithms for flow queries. This paper contains four main results: (i) An internal-memory algorithm for answering terrain-flow queries: preprocess Σ into a linear-size data structure so that given a rain distribution R the flow-rate functions of all edges of Σ can be reported quickly. (ii) I/O-efficient algorithms for answering terrain-flow queries. (iii) An internal memory algorithm for answering edge-flow queries: preprocess Σ into a linear-size data structure so that given a rain distribution R, the flow-rate function of an edge under the single-flow direction (SFD) model can be computed quickly. (iv) We present an efficient algorithm that given a path in Σ computes the two-dimensional channel along which water flows.","PeriodicalId":233918,"journal":{"name":"Proceedings of the 28th International Conference on Advances in Geographic Information Systems","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"1D and 2D Flow Routing on a Terrain\",\"authors\":\"Aaron Lowe, Svend C. Svendsen, P. Agarwal, L. Arge\",\"doi\":\"10.1145/3397536.3422269\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An important problem in terrain analysis is modeling how water flows across a terrain creating floods by forming channels and filling depressions. In this paper we study a number of flow-query related problems: given a terrain Σ represented as a triangulated xy-monotone surface with n vertices, and a rain distribution R which may vary over time, determine how much water is flowing over a given edge as a function of time. We develop internal-memory as well as I/O-efficient algorithms for flow queries. This paper contains four main results: (i) An internal-memory algorithm for answering terrain-flow queries: preprocess Σ into a linear-size data structure so that given a rain distribution R the flow-rate functions of all edges of Σ can be reported quickly. (ii) I/O-efficient algorithms for answering terrain-flow queries. (iii) An internal memory algorithm for answering edge-flow queries: preprocess Σ into a linear-size data structure so that given a rain distribution R, the flow-rate function of an edge under the single-flow direction (SFD) model can be computed quickly. (iv) We present an efficient algorithm that given a path in Σ computes the two-dimensional channel along which water flows.\",\"PeriodicalId\":233918,\"journal\":{\"name\":\"Proceedings of the 28th International Conference on Advances in Geographic Information Systems\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 28th International Conference on Advances in Geographic Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3397536.3422269\",\"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 28th International Conference on Advances in Geographic Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3397536.3422269","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An important problem in terrain analysis is modeling how water flows across a terrain creating floods by forming channels and filling depressions. In this paper we study a number of flow-query related problems: given a terrain Σ represented as a triangulated xy-monotone surface with n vertices, and a rain distribution R which may vary over time, determine how much water is flowing over a given edge as a function of time. We develop internal-memory as well as I/O-efficient algorithms for flow queries. This paper contains four main results: (i) An internal-memory algorithm for answering terrain-flow queries: preprocess Σ into a linear-size data structure so that given a rain distribution R the flow-rate functions of all edges of Σ can be reported quickly. (ii) I/O-efficient algorithms for answering terrain-flow queries. (iii) An internal memory algorithm for answering edge-flow queries: preprocess Σ into a linear-size data structure so that given a rain distribution R, the flow-rate function of an edge under the single-flow direction (SFD) model can be computed quickly. (iv) We present an efficient algorithm that given a path in Σ computes the two-dimensional channel along which water flows.