Lake George Topography & Statistics About Lake George or Digital Earth Australia - Geology Assignment Help

Assignment Task -                 
 

Overview 

Question 3: Lake George Topography 

Lake George is notable for being very shallow. We want to identify points where the area increases quickly with little volume added, and vice-versa. We have written a function area_vs_volume which should plot the area of Lake George against its volume. Our function doesn’t work though, and even if it did, the plot is so poor it doesn’t really help us answer our question. Fix the function so that it works on your data, and improve the plot so it makes it easy for someone looking at it to identify the points we are interested in. 

Lake George, or Weereewa (in Ngunnawal), is an intermittent lake to the north-east of Canberra. It is well-known for having dramatic changes in water level. When full, it’s around 145 km2—20 times bigger than Lake Burley Griffin! But most of the time in contemporary history, it’s been fairly empty. This unusual behavior has given Lake George quite the reputation and even some persistent myths and legends, including everything from a secret underground link between Lake George and Mount Gambier to bunyip and alien sightings. Of course, these legends are (probably) not true, and the fluctuating water levels of Lake George are explained by its unusually shallow geology, evaporation, and rainfall. In this assignment, you will investigate the water level of Lake George and develop two models of how it fills and ebbs over time.

The Data 

We have provided you with a CSV file assignment_lake_george_data.csv containing meteorological data for the Lake George region from 1990–2018, as well as the area and volume of the lake over time. This is made from data from the Bureau of Meteorology, Digital Earth Australia, and the CSIRO. 

You may recall CSV files from Labs 6 and 8. They are text files made up of rows of data, with each column separated by commas.

There are 9 columns in this dataset: 

• Date, in YYYYMM format; 

• Volume of Lake George, in liters (as at the end of the month); 

• Area of Lake George, in square meters (as at the end of the month); 

• Total monthly solar exposure, in megajoules per square meter; 

• Total monthly rainfall, in mm; 

• Average daily maximum temperature, in degrees Celsius; 

• Average daily minimum temperature, in degrees Celsius; 

• Average daily relative humidity, as a percentage; and 

• Average monthly wind speed, in meters/second. 

The Task 

You are provided with assignment_template.py, which contains the basic functions of the assignment. The functions are incomplete. In this assignment, you will fill in the blanks and complete the missing functions. You will also write a short report about your functions and decisions. 

Question 1: Reading the Data 

Write a function that takes the file path of the dataset as input, reads the data, and returns the dataset in a suitable format. The assignment template contains a function for you to fill in: def read_dataset(file path): 

pass 

pass means “do nothing”, and you should remove it when you fill in this function. To load the data, you can then run data = read_dataset('assignment_lake_george_data.csv') as long as the CSV file is in the same directory as your assignment file. 

You should read the data from filepath, and return it in an easy-to-use format. This can be any data type or data structure that you like, as long as it makes sense for the tasks you will be doing later in this assignment. You will be using this returned value in all other questions of the assignment, so make sure your choices here support your later solutions! 

Question 2: Statistics about Lake George 

Write four functions that output (return) the answers to the following questions: 

a. What is the largest area covered by the lake? 

b. What is the average volume of the lake? 

c. What month and year had a rainfall closest to average? 

d. Which month is the hottest on average? 

Question 3: Lake George Topography 

Lake George is notable for being very shallow. We want to identify points where the area increases quickly with little volume added, and vice-versa. We have written a function area_vs_volume which should plot the area of Lake George against its volume. Our function doesn’t work though, and even if it did, the plot is so poor it doesn’t really help us answer our question. Fix the function so that it works on your data, and improve the plot so it makes it easy for someone looking at it to identify the points we are interested in. 

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