GENERALIZED SPACE TIME AUTOREGRESSIVE MODELING WITH MINIMUM SPANNING TREE SPATIAL WEIGHT MATRICES (CASE STUDY ON MONTHLY PASSENGERS NUMBERS AT 17 AIRPORT IN AUSTRALIA)
The airline industry is a rapidly growing transportation sector that plays a crucial role in the global economy by creating jobs and supporting the tourism and manufacturing sectors. During the COVID-19 pandemic period, the airline industry was severely impacted by a significant decrease in the numb...
Saved in:
Main Author: | Cantika Gumilar, Yasmin |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/84132 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
GENERALIZED SPACE TIME AUTOREGRESSIVE (GSTAR) MODELING WITH MINIMUM SPANNING TREE (MST) SPATIAL WEIGHT MATRICES IN TRAFFIC FLOW
by: Yolanda, Feby -
On minimum spanning trees and determinants
by: Sy, Mark Benlor B.
Published: (2002) -
POSITIONING PREDICTION FOR PASSENGERS QUANTITY OF INDONESIAN DOMESTIC FLIGHTS USE ARTIFICIAL NEURAL NETWORK AND MINIMUM SPANNING TREE
by: MEYLANI (NIM: 10113058), RENY -
ANALYSIS OF GENERALIZED SPACE TIME AUTOREGRESSIVE AND ARTIFICIAL NEURAL NETWORK MODEL WITH MINIMUM SPANNING TREE APPROACH OF WEIGHT MATRIX
by: Widianti, Tamara -
An Alternative to Optimize the Indonesian's Airport Network Design: AnApplication of Minimum Spanning Tree (MST)Technique
by: Perpustakaan UGM, i-lib
Published: (2012)