ISSS608 2017-18 T3 Assign Wang Runyu Data Visualization

VAST Mini Challenge 1: "Cheep" Shots?

Background

Data Preparation

Data Visualization

Conclusions

Question 1: Patterns of all of the bird species

Overview Patterns

The plot below indicates the birds location of all the species. The darker color indicated more appearances are recorded at the same location. All species spread over the entire preserve. Most of birds form their own society. They likely to live together as a community.
To confirm the pattern for every bird species, plot the graph and observe the location. Below are some examples.
Form the pattern, we can find that all the birds species intend to live together. Some are living closer and some bird community are more widely spread.

Pattern over the years

The are graph shows that there is no significant number of audio recording provided before 2010. We can interpret meaningful result from insufficient data. So in this assignment, we will only take the audio recording from 2010 onward into consideration.
From 2010 to 2018, we can find all the birds are living in the same region over the years.
Below are four examples: Bombadli, Ordinary Shape, Rose Pipit, Queenscoa.

Question 2

Visual Analytical Approach

Remove Highly Correlated Features

As the text format outcome from seewave package(analyzeFolder function) contains 69 features, it is not practical for us to analyze all the features visually. In the first step, I use findCorrelation() function to eliminate highly correlated features. I set the pair-wise absolute correlation cut off to 0.6.

Correlation Plot

remove features based on corr plot observations

Corrplot, select variables, we not only consider to check the variables nearby, but all the variables For example, group of 'specSlape_sd', 'harmonics_median', 'peakFreq_median', I choose 'peakFreq_median'.

Trellis Plot for Variable Density