{"title":"基于联合采样的包含不连续面的地图投影网格的绘制","authors":"T. Bayer","doi":"10.14311/GI.17.2.3","DOIUrl":null,"url":null,"abstract":"This article presents new algorithm for interval plotting the projection graticule on the interval $\\varOmega=\\varOmega_{\\varphi}\\times\\varOmega_{\\lambda}$ based on the combined sampling technique. The proposed method synthesizes uniform and adaptive sampling approaches and treats discontinuities of the coordinate functions $F,G$. A full set of the projection constant values represented by the projection pole $K=[\\varphi_{k},\\lambda_{k}]$, two standard parallels $\\varphi_{1},\\varphi_{2}$ and the central meridian shift $\\lambda_{0}^{\\prime}$ are supported. In accordance with the discontinuity direction it utilizes a subdivision of the given latitude/longitude intervals $\\varOmega_{\\varphi}=[\\underline{\\varphi},\\overline{\\varphi}]$, $\\varOmega_{\\lambda}=[\\underline{\\lambda},\\overline{\\lambda}]$ to the set of disjoint subintervals $\\varOmega_{k,\\varphi}^{g},$$\\varOmega_{k,\\lambda}^{g}$ forming tiles without internal singularities, containing only \"good\" data; their parameters can be easily adjusted. Each graticule tile borders generated over $\\varOmega_{k}^{g}=\\varOmega_{k,\\varphi}^{g}\\times\\varOmega_{k,\\lambda}^{g}$ run along singularities. For combined sampling with the given threshold $\\overline{\\alpha}$ between adjacent segments of the polygonal approximation the recursive approach has been used; meridian/parallel offsets are $\\Delta\\varphi,\\Delta\\lambda$. Finally, several tests of the proposed algorithms are involved.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Plotting the map projection graticule involving discontinuities based on combined sampling\",\"authors\":\"T. Bayer\",\"doi\":\"10.14311/GI.17.2.3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents new algorithm for interval plotting the projection graticule on the interval $\\\\varOmega=\\\\varOmega_{\\\\varphi}\\\\times\\\\varOmega_{\\\\lambda}$ based on the combined sampling technique. The proposed method synthesizes uniform and adaptive sampling approaches and treats discontinuities of the coordinate functions $F,G$. A full set of the projection constant values represented by the projection pole $K=[\\\\varphi_{k},\\\\lambda_{k}]$, two standard parallels $\\\\varphi_{1},\\\\varphi_{2}$ and the central meridian shift $\\\\lambda_{0}^{\\\\prime}$ are supported. In accordance with the discontinuity direction it utilizes a subdivision of the given latitude/longitude intervals $\\\\varOmega_{\\\\varphi}=[\\\\underline{\\\\varphi},\\\\overline{\\\\varphi}]$, $\\\\varOmega_{\\\\lambda}=[\\\\underline{\\\\lambda},\\\\overline{\\\\lambda}]$ to the set of disjoint subintervals $\\\\varOmega_{k,\\\\varphi}^{g},$$\\\\varOmega_{k,\\\\lambda}^{g}$ forming tiles without internal singularities, containing only \\\"good\\\" data; their parameters can be easily adjusted. Each graticule tile borders generated over $\\\\varOmega_{k}^{g}=\\\\varOmega_{k,\\\\varphi}^{g}\\\\times\\\\varOmega_{k,\\\\lambda}^{g}$ run along singularities. For combined sampling with the given threshold $\\\\overline{\\\\alpha}$ between adjacent segments of the polygonal approximation the recursive approach has been used; meridian/parallel offsets are $\\\\Delta\\\\varphi,\\\\Delta\\\\lambda$. Finally, several tests of the proposed algorithms are involved.\",\"PeriodicalId\":436054,\"journal\":{\"name\":\"Geoinformatics FCE CTU\",\"volume\":\"91 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geoinformatics FCE CTU\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14311/GI.17.2.3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoinformatics FCE CTU","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14311/GI.17.2.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Plotting the map projection graticule involving discontinuities based on combined sampling
This article presents new algorithm for interval plotting the projection graticule on the interval $\varOmega=\varOmega_{\varphi}\times\varOmega_{\lambda}$ based on the combined sampling technique. The proposed method synthesizes uniform and adaptive sampling approaches and treats discontinuities of the coordinate functions $F,G$. A full set of the projection constant values represented by the projection pole $K=[\varphi_{k},\lambda_{k}]$, two standard parallels $\varphi_{1},\varphi_{2}$ and the central meridian shift $\lambda_{0}^{\prime}$ are supported. In accordance with the discontinuity direction it utilizes a subdivision of the given latitude/longitude intervals $\varOmega_{\varphi}=[\underline{\varphi},\overline{\varphi}]$, $\varOmega_{\lambda}=[\underline{\lambda},\overline{\lambda}]$ to the set of disjoint subintervals $\varOmega_{k,\varphi}^{g},$$\varOmega_{k,\lambda}^{g}$ forming tiles without internal singularities, containing only "good" data; their parameters can be easily adjusted. Each graticule tile borders generated over $\varOmega_{k}^{g}=\varOmega_{k,\varphi}^{g}\times\varOmega_{k,\lambda}^{g}$ run along singularities. For combined sampling with the given threshold $\overline{\alpha}$ between adjacent segments of the polygonal approximation the recursive approach has been used; meridian/parallel offsets are $\Delta\varphi,\Delta\lambda$. Finally, several tests of the proposed algorithms are involved.