Efficient plotting the functions with discontinuities based on combined sampling
This article presents new algorithm for interval plotting of<br />the function $y=f(x)$ based on the combined sampling. The proposed<br />method synthesizes uniform and adaptive sampling approaches and provides<br />a more compact and efficient function representation. During the...
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Czech Technical University in Prague
2018-07-01
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doaj-b50e2745708642379d1f493d8f9623cb2020-11-24T22:56:22ZengCzech Technical University in PragueGeoinformatics FCE CTU1802-26692018-07-0117293010.14311/gi.17.2.24175Efficient plotting the functions with discontinuities based on combined samplingTomáš Bayer0Department of Applied Geoinformatics and Cartography, Charles University in PragueThis article presents new algorithm for interval plotting of<br />the function $y=f(x)$ based on the combined sampling. The proposed<br />method synthesizes uniform and adaptive sampling approaches and provides<br />a more compact and efficient function representation. During the combined<br />sampling, the polygonal approximation with a given threshold $\overline{\alpha}$<br />between adjacent segments is constructed. The automated detection<br />and treatment of discontinuities based on $LR$ criterion are involved.<br />Two implementations, the recursive-based and stack-based, are introduced.<br />Finally, several tests of the proposed algorithms for different functions<br />involving discontinuities and several map projection graticules are<br />presented. The proposed method may be applied in geoinformatic for<br />more efficient sampling the curves (map projection graticules, contour<br />lines, or buffers).https://ojs.cvut.cz/ojs/index.php/gi/article/view/4938adaptive samplingcombined samplingrecursive approachstackdiscontinuitypolygonal approximationvisualizationmap projectionplottingGIS |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tomáš Bayer |
spellingShingle |
Tomáš Bayer Efficient plotting the functions with discontinuities based on combined sampling Geoinformatics FCE CTU adaptive sampling combined sampling recursive approach stack discontinuity polygonal approximation visualization map projection plotting GIS |
author_facet |
Tomáš Bayer |
author_sort |
Tomáš Bayer |
title |
Efficient plotting the functions with discontinuities based on combined sampling |
title_short |
Efficient plotting the functions with discontinuities based on combined sampling |
title_full |
Efficient plotting the functions with discontinuities based on combined sampling |
title_fullStr |
Efficient plotting the functions with discontinuities based on combined sampling |
title_full_unstemmed |
Efficient plotting the functions with discontinuities based on combined sampling |
title_sort |
efficient plotting the functions with discontinuities based on combined sampling |
publisher |
Czech Technical University in Prague |
series |
Geoinformatics FCE CTU |
issn |
1802-2669 |
publishDate |
2018-07-01 |
description |
This article presents new algorithm for interval plotting of<br />the function $y=f(x)$ based on the combined sampling. The proposed<br />method synthesizes uniform and adaptive sampling approaches and provides<br />a more compact and efficient function representation. During the combined<br />sampling, the polygonal approximation with a given threshold $\overline{\alpha}$<br />between adjacent segments is constructed. The automated detection<br />and treatment of discontinuities based on $LR$ criterion are involved.<br />Two implementations, the recursive-based and stack-based, are introduced.<br />Finally, several tests of the proposed algorithms for different functions<br />involving discontinuities and several map projection graticules are<br />presented. The proposed method may be applied in geoinformatic for<br />more efficient sampling the curves (map projection graticules, contour<br />lines, or buffers). |
topic |
adaptive sampling combined sampling recursive approach stack discontinuity polygonal approximation visualization map projection plotting GIS |
url |
https://ojs.cvut.cz/ojs/index.php/gi/article/view/4938 |
work_keys_str_mv |
AT tomasbayer efficientplottingthefunctionswithdiscontinuitiesbasedoncombinedsampling |
_version_ |
1725653711253929984 |