This article discusses the relationship between forest fires and weather conditions, as well as the impact of the duff layer on the ecological devastation caused by forest fires. The article explains that weather factors such as humidity and moisture content in the biomass can decrease the likelihood of a wildfire. By using the Duff Moisture Code and Relative Humidity, a model was developed to predict whether a wildfire would occur or not. The findings showed that the model's predictions aligned with expectations, and such a model could help National Parks prepare for fire dispatch more readily and conserve resources. Future questions that could be explored include predicting fire intensity and applying the model to other countries with different weather conditions.
Some skills I gained were:
Data wrangling: I have demonstrated the ability to clean and wrangle the data into a tidy format, which is an essential skill in data analysis. This involved working with messy data and transforming it into a usable format for analysis.
Exploratory data analysis: I have performed exploratory data analysis by summarizing the data in a table and visualizing it with at least one plot. This skill is crucial in understanding the dataset, identifying patterns and trends, and preparing the data for further analysis. It involves using various statistical techniques and visualizations to explore the data and gain insights.
Reflection
During our group project, we faced some challenges in the initial stages, particularly in agreeing on a clear direction and objectives. We had divergent ideas on what dataset to use and the questions to be answered. However, through effective communication, collaboration, and compromise, we were able to overcome these obstacles and move forward as a cohesive team. As a result, we were able to develop a well-structured and comprehensive proposal, which provided a clear direction for our project. Through this experience, I learned valuable skills on how to navigate conflicting ideas, build consensus, and work collaboratively with others to achieve a common goal.
You can find my submission in pdf here: Github Submission
I have gained valuable skills in exploratory data analysis and data wrangling using R. Specifically, I have learned how to import data from the web into R, clean and organize the data into a tidy format, and summarize and visualize the data using tables and plots. These skills are essential for conducting effective data analysis and will be useful in future data-driven projects. Additionally, I have developed an understanding of the importance of exploratory data analysis in identifying patterns and relationships within data, which can inform further analysis and modeling.