Tmor-Da: Statistical analysis of human activities.
Yee Kee Ku
10.26188/5dfb78a31aa9b
https://melbourne.figshare.com/articles/dataset/Zone_1_Human_activities_analysis/11407335
Graph of time-series plots; `temporal occupied space [TOS]' area (stack area) and no. of people (bar chart) for a day, in 5 zones of Tmor-Da. <div><br></div><div>Pearson correlation coefficient analyses the relationship between different types of people (and objects) with TOS domestic and TOS commercial, to find the highest plausible association between these two variables.<div><br></div><div>Introduce a novel method to calculate the human intensity and frequency on TOS. </div></div><div><br></div><div>Pearson correlation coefficient analyses the relationship between total human intensity value to porosity value, connectivity value (space syntax) and finally building height value , to find the highest plausible association between these variables.<br></div><div><br></div><div>Pearson correlation coefficient analyses the relationship between human activities (micro) to evolution of built forms (macro), thus answer the main research question. <br></div>
2020-01-29 23:13:01
Informal settlement
Pearson correlation coefficient analysis
human activities
human behaviour analysis