Global sensitivity analysis for climate/land-use change co-extinctions analysis
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Updated
Oct 27, 2022 - R
Global climate change refers to the rise of earth's temperature, caused by human factors. It originates from the greenhouse effect of certain gases in our atmosphere like carbon dioxide (CO2) or methane (CH4) that block the escaping heat. The concentration of these gases has risen dramatically by human impact since the mid of the 20th century, with the burning of fossil fuels (oil and gas) and deforestation being main causes of this rise. The observed and expected effects include more and longer periods of draught, wildfires and an increased number of extreme weather events.
Global sensitivity analysis for climate/land-use change co-extinctions analysis
Back up for the review and scripts used in the article "The evolutionary outcomes of climate-change-induced hybridization in insect populations." published in COIS,
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Ease the use of the climate4r package to downscale TraCE21ka and CMIP5 climate data in combination with UERRA reanalysis data.
This repository contains the scripts used in my master thesis in TU Ilmenau for analysis of the comments from 10 most viewed climate change videos on YouTube
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This repository contains code used in the analysis of coral bleaching survey data collected across the Hawaiian Archipelago during the 2019 bleaching event. We investigated spatial, temporal, and taxa-specific variability in bleaching, as well as drivers of the event. See README for more information on downloading archived data.
Shiny app calculating linear trends in global temperatures
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This repository contains raw data and scripts for the "Interspecific hybridization in insects in times of climate change" book chapter included in the book "Effects of Climate Change on Insects" by González-Tokman and Dáttilo.
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R files to accompany Statistical Reasoning in Sports by Tabor and Franklin and climate modeling project for Honors Precalculus
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