Difference between revisions of "ISSS608 2017-18 T3 Assign Wang Runyu Data Visualization"
Line 31: | Line 31: | ||
To confirm the pattern for every bird species, plot the graph and observe the location. Below are some examples. | To confirm the pattern for every bird species, plot the graph and observe the location. Below are some examples. | ||
[[File:Pattern one kind.png]] | [[File:Pattern one kind.png]] | ||
+ | Form the pattern, we can find that all the birds species intend to live together. Some are live closer and some bird community are more widely spread. | ||
===Pattern of Different Quarter=== | ===Pattern of Different Quarter=== |
Revision as of 03:26, 8 July 2018
|
|
|
|
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 appearance of the same bird have been found 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 live closer and some bird community are more widely spread.
Pattern of Different Quarter
Pattern Around Dumping Site
Q2
Visual Analytical Approach
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'.