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--- opensci:2025:anna:art1 [2025/03/30 20:44] – criada anna
+++ opensci:2025:anna:art1 [2025/04/01 18:28] (atual) – anna
@@ Linha 1: / Linha 1: @@
-DRAFT
+=== Futuristic scenarios for the variation of temperature with carbon dioxide ===
-**== Data and Results of Climate Analysis ==**
 === Data Source ===
-The climate analysis is based on data from FigShare, which includes historical records of carbon dioxide (CO2) concentration and temperature measurements. The dataset spans multiple years and provides key insights into the relationship between CO2 levels and temperature variations. For more information, refer to: [https://climatechange.chicago.gov/climate-change-science/future-climate-change](https://climatechange.chicago.gov/climate-change-science/future-climate-change).
+The climate analysis is based on data from [[ https://figshare.com/articles/dataset/Table_15_Futuristic_scenarios_for_the_variation_of_temperature_with_carbon_dioxide_CO_sub_2_sub_between_2000-2120_/28654502?file=53189924 |FigShare]].The Dataset shows Futuristic scenarios for the variation of temperature with carbon dioxide and provides key insights into the relationship between CO2 levels and temperature variations. For more information, refer to: [[https://climatechange.chicago.gov/climate-change-science/future-climate-change|Climate Change Chicago]].
-=== Data Processing ===
+=== Data Processing and Analysis===
-The dataset was processed using R, employing the following steps:
-- **Loading the dataset:** The data was imported from an Excel file.
-- **Data transformation:** Conversion of year, CO2 concentration (ppm), and temperature (K) values into numeric format.
-- **Summary statistics:** Calculation of mean CO2 levels, mean temperature, and correlation between CO2 and temperature.
-=== Results ===
+The dataset was processed in R, starting with data import from an Excel file. Key transformations included converting year, CO2 concentration, and temperature into numeric formats. Summary statistics were computed, including mean CO2 levels, mean temperature, and their correlation.
-==== Summary Statistics ====
-- **Mean CO2 Concentration:** The average CO2 level across the dataset.
-- **Mean Temperature:** The average temperature measured in Kelvin.
-- **Correlation Analysis:** A correlation coefficient was computed to assess the relationship between CO2 levels and temperature changes.
-==== Visualizations ====
+Visualizations included:
-To better understand trends, the following visualizations were created:
-- **CO2 Concentration Over Time:** A line graph showing how CO2 levels have evolved over the years.
-- **Temperature Change Over Time:** A time series plot illustrating temperature variations.
-- **CO2 vs Temperature Scatter Plot:** A scatter plot with a fitted regression line demonstrating the correlation between CO2 concentration and temperature.
-==== Correlation and Regression Analysis ====
+- A line graph of CO2 concentration over time
-- The correlation coefficient calculated between CO2 and temperature suggests a strong relationship.
-- A linear regression model was applied to examine the trend:
-  - **Regression Equation:** Temperature = *Intercept* + *Slope* × CO2 Concentration
-  - The model summary provides insights into the significance of CO2 as a predictor of temperature variations.
-=== Conclusion ===
+- A time series plot of temperature changes
-The analysis confirms a strong correlation between rising CO2 levels and increasing temperature. The regression analysis further suggests that CO2 concentration significantly impacts temperature changes. These findings reinforce the scientific understanding of climate change and the role of greenhouse gases in global warming.
-=== Files and Graphs ===
+- A scatter plot with regression analysis of CO2 vs. temperature
-- **Temperature_Change_Over_Time.png**: Visualization of temperature trends.
-- **CO2_vs_Temp.png**: Scatter plot of CO2 vs Temperature with regression line.
+Correlation analysis indicated a strong relationship between CO2 levels and temperature. A linear regression model further confirmed CO2 as a significant predictor of temperature variations. The findings support the link between rising CO2 levels and global warming, reinforcing scientific understanding of climate change.
 This analysis provides critical evidence supporting climate change research and helps understand long-term environmental trends.