https://github.com/lukaseamus/msc

Data and R code accompanying the poster "Uniting seagrass conservation and tourism in Mauritius".
https://github.com/lukaseamus/msc

economics esc forcats ggplot2 law legislation mapping marine-biology marine-ecology marine-planning mauritius meta meta-analysis policy poster qgis r seagrass tourism vegetated-habitats

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Data and R code accompanying the poster "Uniting seagrass conservation and tourism in Mauritius".

• Host: GitHub
• URL: https://github.com/lukaseamus/msc
• Owner: lukaseamus
• License: gpl-3.0
• Created: 2020-04-24T10:38:36.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2022-09-14T00:46:01.000Z (over 3 years ago)
• Last Synced: 2024-01-28T21:41:52.725Z (over 2 years ago)
• Topics: economics, esc, forcats, ggplot2, law, legislation, mapping, marine-biology, marine-ecology, marine-planning, mauritius, meta, meta-analysis, policy, poster, qgis, r, seagrass, tourism, vegetated-habitats
• Language: R
• Homepage:
• Size: 199 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

          
# MSC

This repository contains data and R code accompanying the poster "Uniting seagrass conservation and tourism in Mauritius".

**Methods**

`Methods.pdf` explains the methodological procedure required to produce the poster, addressing the development of each of Figures 1–3 individually. All publications referred to herein can be found in `References.pdf`.

**R script**

`MSC.R` contains all necessary R code to perform the combinatorial meta-analysis and plot Figures 1–3.

**Data**

`locations.csv` contains the coordiantes for areas of extraordinary seagrass damage or health around Mauritius. Together with `map.qgz` and several other shapefiles/geopackages (outlined in `Methods.pdf`), this file is required to plot Figure 1.

`loss.csv` contains data that are relevant to the combinatorial meta-analysis regarding the effect of seagrass loss on ecosystem functions. These data are necessary to plot Figure 2 (see `Methods.pdf` for details).

`goods.csv` contains economic data on the private and public costs/benefits of seagrass degradation/conservation underlying Figure 3 (see `Methods.pdf` for details).

`tourists.csv` contains data obtained from a Tripadvisor search (https://www.tripadvisor.co.uk/Search?q=seagrass&searchSessionId=32082531294ED0F1FC4D9BC4F8CADC561588599236524ssid&searchNearby=false&geo=293816&sid=C69FDCB111BCBCCEE97EC327697218251588599241765&blockRedirect=true). These data highlight tourists' mostly negative perception of seagrass and reveal the rationale behind seagrass meadow dredging.

**References**

`References.pdf` contains all publications that were cited on the poster, in `Methods.pdf` and in the data files along with an additional section with background reading that was required for the completion of the project.

Luka Seamus Wright