YunnaWei PatternDetection

From Visual Analytics and Applications
Jump to navigation Jump to search

Yunna Wei - ISSS608 Visual Analytics and Applications_Assignment1

Introduction

Data Preparation

Overview Exploration

Pattern Detectoin

Reference

 

Multiple Days Pattern

Calendar View by Month

WYN Month CalendarView.png
the left diagram well demonstrates that there are peak and off-peak periods in terms of traffic flow in the nature reserve. It is clear that there are much more traffic during months of June, July and August and the traffic load dropped significantly after September. What's more interesting is there is almost no traffic in months of December,January and February. This trend is more true for car types of 1(2 axle car (or motorcycle)), 2(2 axle truck) and 3(3. 3 axle truck)

Quarterly Pattern

WYN Q1.png
WYN Q2.png
WYN Q3.jpg
WYN Q4.png
Q1 Pattern: Q1 is the least popular season as the traffic only takes up 5.6% of the overall traffic. The routes in Q1 are quite short and a relative big portion of the traffic has routes of from one entrance to another entrance directly or only going through one gate, which can be assumed that these car ids are just using as the preserve as a convenient transportation option, in stead of actually visiting the preserve. There is almost no camping activities in Q1. In Q1, the traffic focuses on:
  • Entrance4--Generalgate5--Generalgate2--Rangerstop0--Rangerstop2--Generalgate1
  • Entrance1--Generalgate7--Generalgate4
  • Entrance3--Generalgate1--Rangerstop2--Rangerstop0
  • Entrance2--Generalgate2--Rangerstop0--Rangerstop2
  • Entrance0--Generalgate1--Rangerstop2--Rangerstop0
Q2 Pattern: Q2 is a reasonably popular season and the traffic becomes much more compared to Q1 and the traffic routes are much longer and diverse. We can assume that more visitors in Q2. A big proportion of traffic come to the preserve for visiting and camping, instead of using the preserve a transportation option. Q3: Q4: