Data and code from: A non-parametric study of temperature trends in Fiji over five decades
Data files
Feb 12, 2026 version files 29.30 KB
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Data_and_Code.zip
27.16 KB
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README.md
2.13 KB
Abstract
Small Island Developing States (SIDSs) like Fiji are highly vulnerable to climate change, yet long term, localized analyses of temperature trends remain limited. This study investigates annual mean minimum (Tmin ), maximum (Tmax), and average (Tavg) temperature trends across 23 meteorological stations in Fiji over the period of 1970 to 2023, using the Mann-Kendall (MK) test, its modified variant (MMK) for accounting for autocorrelation, and the Sen's Slope (SS) estimator. The results reveal widespread and statistically significant warming, with 57 % of stations showing increases in minimum temperature (e.g., Vunisea: 0.33 °C/decade; Laucala: 0.30 °C/decade) and 78 % in maximum temperature (e.g., Navua: 0.61 °C/decade; Viwa: 0.55 °C/decade). A majority of the stations (91 %) recorded rising average temperatures, with the strongest warming observed in coastal and low-lying regions. Tmax exhibited the most intense warming at specific locations (e.g., Viwa, Yasawa, Navua), while T min showed more spatially consistent moderate increases across the country. Tavg trends fell between these two extremes, reflecting combined effects. The MMK test confirmed the robustness of the trends, while the SS estimator showed that Fiji's warming rates exceeded global and regional benchmarks. These findings underscore the urgency of implementing adaptation measures in climate-sensitive sectors, prioritizing the highest warming stations, and providing a critical evidence base for policy development and improved climate monitoring in SIDSs.
Dataset DOI: 10.5061/dryad.xd2547dvh
Description of the data and file structure
This repository contains the data and code related to the manuscript "A non-parametric study of temperature trends in Fiji over five decades".
Files and variables
File: Data_and_Code.zip
Description:
Data Files
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tmin.csv
Contains daily/monthly minimum temperature data. Missing Values: Represented as
"NA". -
tmax.csv
Contains daily/monthly maximum temperature data. Missing Values: Represented as
"NA". -
avg.csv
Contains daily/monthly average temperature data. Missing Values: Represented as
"NA"
Code Files
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Descriptive_statistics.R
Performs summary statistics on the temperature datasets (mean, standard deviation, min, max).
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Trend_analysis.R
Performs time-series trend analysis on temperature data using Mann-Kendall test.
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Trend_lines.R
Produces trend line plots for minimum, maximum, and average temperatures across different time periods and stations.
Code/software
To analyze the data, the following free and open-source software and tools were used:
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R (version 4.4.0)
Description: A free software environment for statistical computing and graphics.
Website: https://cran.rstudio.com/ -
RStudio (version 2025.05.0)
Description: A free integrated development environment (IDE) for R. It provides an intuitive interface to run R scripts and visualize outputs.
Website: https://posit.co/download/rstudio-desktop/To view the data, the following software were used:
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Microsoft Excel
Description: A spreadsheet application used to open and view CSV files in tabular form. Compatible alternatives include LibreOffice Calc.
Version: Microsoft Excel 2016 or later.
Website: https://www.microsoft.com/en-us/microsoft-365/excel
