Difference between revisions of "ISSS608 2017-18 T3 Assign Wang Runyu Data Visualization"
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==Patterns of all of the bird species== | ==Patterns of all of the bird species== | ||
===Overview Patterns=== | ===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. | + | 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. |
[[File:Pattern overview all.png|700px]] | [[File:Pattern overview all.png|700px]] | ||
<br> | <br> | ||
| − | To confirm | + | To confirm the pattern for every bird species, plot the graph and observe the location. Below are some examples. |
| + | [[File:Pattern one kind.png]] | ||
===Pattern of Different Quarter=== | ===Pattern of Different Quarter=== | ||
Revision as of 03:20, 8 July 2018
VAST Mini Challenge 1: "Cheep" Shots?
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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.
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'.
Trellis Plot for Variable Density
