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7. Scientific maps should reach everyone: The cblindplot R package to let colour blind people visualise spatial patterns

Author

Rocchini, Duccio, Nowosad, Jakub, D’Introno, Rossella, Chieffallo, Ludovico, Bacaro, Giovanni, Gatti, Roberto Cazzolla, Foody, Giles M., Furrer, Reinhard, Gábor, Lukáš, Malavasi, Marco, Marcantonio, Matteo, Marchetto, Elisa, Moudrý, Vítězslav, Ricotta, Carlo, Šímová, Petra, Torresani, Michele, and Thouverai, Elisa more...

Published
2023
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11. 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 more...

Published
2022
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14. 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 more...

Published
2021
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26. 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 more...

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. more...

Published
2023

28. rasterdiv ‐ an Information Theory tailored R package for measuring ecosystem heterogeneity from space: to the origin and back

Author

Rocchini, Duccio, Thouverai, Elisa, Marcantonio, Matteo, Iannacito, Martina, Da Re, Daniele, Torresani, Michele, Bacaro, Giovanni, Bazzichetto, Manuele, Bernardi, Alessandra, Foody, Giles M., Furrer, Reinhard, Kleijn, David, Larsen, Stefano, Lenoir, Jonathan, Malavasi, Marco, Marchetto, Messori, Filippo, Montaghi, Alessandro, Moudr'y, V'itvezslav, Naimi, Babak, Ricotta, Carlo, Rossini, Micol, Santi, Francesco, Santos, Maria J., Schaepman, Michael E., Schneider, Fabian D., Schuh, Leila, Silvestri, Sonia, 'imov'a, Petra, Skidmore, Andrew K., Tattoni, Clara, Tordoni, Enrico, Vicario, Saverio, Zannini, Piero, Wegmann, Martin, University of Zurich, Rocchini, Duccio, Department of Natural Resources, UT-I-ITC-FORAGES, Faculty of Geo-Information Science and Earth Observation, Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Czech University of Life Sciences Prague (CZU), University of California [Davis] (UC Davis), University of California (UC), High-End Parallel Algorithms for Challenging Numerical Simulations (HiePACS), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Université Catholique de Louvain = Catholic University of Louvain (UCL), Free University of Bozen-Bolzano, Università degli studi di Trieste = University of Trieste, Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Università degli Studi di Trento (UNITN), University of Nottingham, UK (UON), Universität Zürich [Zürich] = University of Zurich (UZH), Wageningen University and Research [Wageningen] (WUR), Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Università degli Studi di Firenze = University of Florence (UniFI), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA), Università degli Studi di Milano-Bicocca = University of Milano-Bicocca (UNIMIB), California Institute of Technology (CALTECH), Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Macquarie University, University of Twente, Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), Julius-Maximilians-Universität Würzburg (JMU), H2020 Project SHOWCASE [862480], H2020 COST Action European Cooperation in Science and Technology (COST) [CA17134], Jet Propulsion Laboratory, California Institute of Technology, National Aeronautics and Space Administration National Aeronautics and Space Administration (NASA) [80NM0018D0004], University of Zurich Research Priority Program on Global Change and Biodiversity (URPP GCB), Friuli Venezia Giulia Region, Swiss National Science Foundation Swiss National Science Foundation (SNSF) [SNSF-175529], Czech University of Life Sciences Prague, European Project: 862480,SHOWCASE(2020), University of California, Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Inria Bordeaux - Sud-Ouest, Università degli studi di Trieste, Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Centre National de la Recherche Scientifique (CNRS)-Université de Picardie Jules Verne (UPJV), Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), University of Helsinki, Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], Università degli Studi di Milano-Bicocca [Milano] (UNIMIB), University of Twente [Netherlands], Università degli studi di Bari Aldo Moro (UNIBA), Julius-Maximilians-Universität Würzburg [Wurtzbourg, Allemagne] (JMU), Thouverai, Elisa, Marcantonio, Matteo, Iannacito, Martina, DA RE, Daniele, Torresani, Michele, Bacaro, Giovanni, Bazzichetto, Manuele, Bernardi, Alessandra, Foody, Giles M., Furrer, Reinhard, Kleijn, David, Larsen, Stefano, Lenoir, Jonathan, Malavasi, Marco, Marchetto, Elisa, Messori, Filippo, Montaghi, Alessandro, Moudrý, Vı́tězslav, Naimi, Babak, Ricotta, Carlo, Rossini, Micol, Santi, Francesco, Santos, Maria J., Schaepman, Michael, Schneider, Fabian, Schuh, Leila, Silvestri, Sonia, Šı́mová, Petra, Skidmore, Andrew K., Tattoni, Clara, Tordoni, Enrico, Vicario, Saverio, Zannini, Piero, Wegmann, Martin, Rocchini D., Thouverai E., Marcantonio M., Iannacito M., Da Re D., Torresani M., Bacaro G., Bazzichetto M., Bernardi A., Foody G.M., Furrer R., Kleijn D., Larsen S., Lenoir J., Malavasi M., Marchetto E., Messori F., Montaghi A., Moudry V., Naimi B., Ricotta C., Rossini M., Santi F., Santos M.J., Schaepman M.E., Schneider F.D., Schuh L., Silvestri S., Simova P., Skidmore A.K., Tattoni C., Tordoni E., Vicario S., Zannini P., Wegmann M., UCL - SST/ELI - Earth and Life Institute, UCL - SST/ELI/ELIC - Earth & Climate, Department of Geosciences and Geography, Rocchini, D, Thouverai, E, Marcantonio, M, Iannacito, M, Da Re, D, Torresani, M, Bacaro, G, Bazzichetto, M, Bernardi, A, Foody, G, Furrer, R, Kleijn, D, Larsen, S, Lenoir, J, Malavasi, M, Marchetto, E, Messori, F, Montaghi, A, Moudry, V, Naimi, B, Ricotta, C, Rossini, M, Santi, F, Santos, M, Schaepman, M, Schneider, F, Schuh, L, Silvestri, S, Simova, P, Skidmore, A, Tattoni, C, Tordoni, E, Vicario, S, Zannini, P, and Wegmann, M more...

Subjects
0106 biological sciences, 010504 meteorology & atmospheric sciences, Computer science, UFSP13-8 Global Change and Biodiversity, ecological informatic, 340 Law, Information theory, Space (mathematics), computer.software_genre, 01 natural sciences, remote sensing, Feature (machine learning), biodiversity, education.field_of_study, Ecology, Ecological Modeling, Spatial Heterogeneity, PE&RC, 10123 Institute of Mathematics, 10122 Institute of Geography, ecological informatics, modeling, satellite imagery, Plantenecologie en Natuurbeheer, Data mining, 1171 Geosciences, Application, Evolution, Ecology (disciplines), Population, Metapopulation, Plant Ecology and Nature Conservation, 610 Medicine & health, 85 satellite imagery, 010603 evolutionary biology, ITC-HYBRID, modelling, 510 Mathematics, 2302 Ecological Modeling, Behavior and Systematics, Settore BIO/07 - ECOLOGIA, Ecosystem, education, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, biodiversity, ecological informatics, modelling, remote sensing, satellite imagery, Ecological indicator, Ecological Modelling, 1105 Ecology, Evolution, Behavior and Systematics, Spatial Ecology, ITC-ISI-JOURNAL-ARTICLE, 10231 Institute for Computational Science, Key (cryptography), [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Scale (map), computer
Abstract

Ecosystem heterogeneity has been widely recognized as a key ecological feature, influencing several ecological functions, since it is strictly related to several ecological functions like diversity patterns and change, metapopulation dynamics, population connectivity, or gene flow.In this paper, we present a new R package - rasterdiv - to calculate heterogeneity indices based on remotely sensed data. We also provide an ecological application at the landscape scale and demonstrate its power in revealing potentially hidden heterogeneity patterns.The rasterdiv package allows calculating multiple indices, robustly rooted in Information Theory, and based on reproducible open source algorithms. more...

Published
2020
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