TY  - CHAP
AU  - Wenjie Huang
AU  - Mengzhi Ling
ED  - Jorge Rocha
ED  - Patrícia Abrantes
Y1  - 2019-01-24
PY  - 2019
T1  - Machine Learning-Based Method for Urban Lifeline System Resilience Assessment in GIS*
N2  - Geographic information science (GISc) has established itself as a collaborative information-processing scheme that is increasing in popularity. Yet, this interdisciplinary and/or transdisciplinary system is still somewhat misunderstood. This book talks about some of the GISc domains encompassing students, researchers, and common users. Chapters focus on important aspects of GISc, keeping in mind the processing capability of GIS along with the mathematics and formulae involved in getting each solution. The book has one introductory and eight main chapters divided into five sections. The first section is more general and focuses on what GISc is and its relation to GIS and Geography, the second is about location analytics and modeling, the third on remote sensing data analysis, the fourth on big data and augmented reality, and, finally, the fifth looks over volunteered geographic information.
BT  - Geographic Information Systems and Science
SP  - Ch. 3
UR  - https://doi.org/10.5772/intechopen.82748
DO  - 10.5772/intechopen.82748
SN  - 978-1-83962-234-2
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-25
ER  -