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Your search keyword '"Šı́mova, Petra"' showing total 20 results
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20 results on '"Šı́mova, Petra"'

7. Integrals of life: Tracking ecosystem spatial heterogeneity from space through the area under the curve of the parametric Rao’s Q index

Author

Thouverai, Elisa, Marcantonio, Matteo, Lenoir, Jonathan, Galfré, Mariasole, Marchetto, Elisa, Bacaro, Giovanni, Cazzolla Gatti, Roberto, Da Re, Daniele, Di Musciano, Michele, Furrer, Reinhard, Malavasi, Marco, Moudrý, Vítězslav, Nowosad, Jakub, Pedrotti, Franco, Pelorosso, Raffaele, Pezzi, Giovanna, Šímová, Petra, Ricotta, Carlo, Silvestri, Sonia, Tordoni, Enrico, Torresani, Michele, Vacchiano, Giorgio, Zannini, Piero, and Rocchini, Duccio

Published
2022
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8. From local spectral species to global spectral communities: A benchmark for ecosystem diversity estimate by remote sensing

Author

Rocchini, Duccio, Salvatori, Nicole, Beierkuhnlein, Carl, Chiarucci, Alessandro, de Boissieu, Florian, Förster, Michael, Garzon-Lopez, Carol X., Gillespie, Thomas W., Hauffe, Heidi C., He, Kate S., Kleinschmit, Birgit, Lenoir, Jonathan, Malavasi, Marco, Moudrý, Vítĕzslav, Nagendra, Harini, Payne, Davnah, Šímová, Petra, Torresani, Michele, Wegmann, Martin, and Féret, Jean-Baptiste

Published
2021
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20. Scientific maps should reach everyone: a straightforward approach to let colour blind people visualise spatial patterns

Author

Pezzi, Giovanna, Furrer, Reinhard, Lovei, Gabor, Chieffallo, Ludovico, Nowosad, Jakub, Moudrý, Vı́tězslav, Ricotta, Carlo, Rocchini, Duccio, Gábor, Lukáš, Malavasi, Marco, Torresani, Michele, DIntrono, Rossella, Marcantonio, Matteo, Šı́mová, Petra, Marchetto, Elisa, Thouverai, Elisa, Foody, Giles, Bacaro, Giovanni, Gatti, Roberto, Rocchini, Duccio, Nowosad, Jakub, D'Introno, Rossella, Chieffallo, Ludovico, Bacaro, Giovanni, Cazzolla Gatti, Roberto, Foody, Giles M., Furrer, Reinhard, Gabor, Luka, L Lovei, Gabor, Malavasi, Marco, Marcantonio, Matteo, Marchetto, Elisa, Moudry, Vı́tězslav, Pezzi, Giovanna, Ricotta, Carlo, Šı́mova, Petra, Torresani, Michele, Thouverai, Elisa, and University of Zurich

Subjects
bepress|Physical Sciences and Mathematics, computational ecology, bepress|Physical Sciences and Mathematics|Earth Sciences, R software, ecological informatics, remote sensing, colour blind, maps, R package, spatial pattern, 510 Mathematics, colours, map, Physical Sciences and Mathematics, bepress|Physical Sciences and Mathematics|Environmental Sciences, spatial statistics Themen: Computer Sciences, bepress|Physical Sciences and Mathematics|Mathematics, bepress|Physical Sciences and Mathematics|Computer Sciences, 10123 Institute of Mathematics, 10231 Institute for Computational Science, Earth Sciences, Schlagwörter: colour blind deficienty, Environmental Sciences, Mathematics
Abstract

Maps represent powerful tools to show the spatial variation of a variable in a straightforward manner. A crucial aspect in map rendering for its interpretation by users is the gamut of colours used for displaying data. One part of this problem is linked to the proportion of the human population that is colour blind and, therefore, highly sensitive to colour palette selection. The aim of this paper is to present a function in R - \texttt{cblind.plot} - which enables colour blind people to just enter an image in a coding workflow, simply set their colour blind deficiency type, and immediately get as output a colour blind friendly plot. We will first describe in detail colour blind problems, and then show a step by step example of the function being proposed. While examples exist to provide colour blind people with proper colour palettes, in such cases (i) the workflow include a separate import of the image and the application of a set of colour ramp palettes and (ii) albeit being well documented, there are many steps to be done before plotting an image with a colur blind friendly ramp palette. The function described in this paper (\ttt{cblind.plot}), on the contrary, allows to (i) automatically call the image inside the function without any initial import step and (ii) explicitly refer to the colour blind deficiency type being experienced, to further automatically apply the proper colour ramp palette.

Published
2023

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