Description
Aim
The Project requires us to analyse data using the knowledge obtained from this unit with assistance from a computer based statistical package.
Method
To complete this project:
- Read through this specification
- Complete the data analysis required by the specification
- Write up your analysis using your favourite word processing/typesetting program, making sure that all of the working is shown and that is it presented well.
- Include the student declaration text on the front page of your report. Please make sure that your name and student number are clearly displayed on the front page.
Once the required analysis is performed, write up the analysis as a report. Remember that the assessor will only see the report and will be marking the analysis based on your report. Therefore the report should contain a clear and concise description of the procedures carried out, the analysis of results, and any conclusions reached from the analysis.
The required analysis in this specification covers material presented in lectures and labs. Students should use the computer software R to carry out the required analysis and then present the results from the analysis in the report.
Declaration
The following declaration must be included in a clearly visible and readable place on the first page of the report.
By including this statement, we the authors of this work, verify that:
- I hold a copy of this assignment that we can produce if the original is lost or damaged.
- I hereby certify that no part of this assignment/product has been copied from any other student’s work or from any other source except where due acknowledgement is made in the assignment.
- No part of this assignment/product has been written/produced for us by another person except where such collaboration has been authorised by the subject lecturer/tutor concerned.
- I am aware that this work may be reproduced and submitted to plagiarism detection software programs for the purpose of detecting possible plagiarism (which may retain a copy on its database for future plagiarism checking).
- I hereby certify that we have read and understand what the School of Computing and Mathematics defines as minor and substantial breaches of misconduct as outlined in the learning guide for this unit.
Note: An examiner or lecturer/tutor has the right not to mark this project report if the above declaration has not been added to the cover of the report.
Project Description
The NSW Fire Rescue Services have collected data over the past few years describing fires that they have attended to. The variables recorded for each fire are:
- Location of the fire, provided as latitude and longitude.
- Type of land where the fire occurred.
- The duration of the fire in minutes.
- The ambient temperature in degrees Celcuis and humidity as a percentage.
- The date of the fire.
The data is provided in the file fire2021.csv. You have been hired as a consultant to analyse their data and help provide insight in to their four questions below.
Seasonal Effect
The fire rescue services need to know when to be prepared for fire outbreaks. Provide them with a density function plot and a density equation to estimate which times of the year that fires are likely to occur. Use the data to estimate the equation.
Allocating Equipment
The fire rescue services use fire retardants that are specific to the type of fire (either forest, grassland or desert fire retardant). The amount of retardant required is dependent on the duration of the fire. Over the past few years, the majority of fires faced have been from 300 to 400 minutes in duration and so the fire rescue services
want to know what proportions of each type of retardant to purchase.
Compute the probability of each land type conditioned on duration of the fire, plot the result, and use the plot to provide estimates of the required proportions of retardant.
Effect of Temperature on Duration
Information from the Fire Rescue Servies team shows that the duration of a fire is dependent on the temperature, but they are unsure if there are any hidden factors that have not been taken into account. Use a mixture of regressions to investigate if there are potential hidden factors that effect the duration of a fire.
Location of Fires
Finally, the Fire Rescue Services require density estimates for fire locations across NSW to help them position their stations. Plot and provide details of a model with computed coefficients that will allow them to compute the density estimate of a fire occurring, when given the location (latitude and longitude). Use the model to estimate the density at the WSU Parramatta South Campus.
Write a report containing your code and analysis of the data with each section clearly labelled. Clearly annotate your code and make sure to state any conclusions you make from each piece of analysis. The report is being marked using the marking criteria, so make sure that each piece of analysis covers all of the criteria.
