Meet the editors

Jorge Rocha is a geographer. He has an MSc in Geographic Information Systems (2003) and Spatial Planning (2013), and a PhD in Geographic Information Science (2012). Currently, he is an assistant professor at the Institute of Geography and Spatial Planning and a member of the Modelling, Urban and Regional Planning, and Environmental Hazard and Risk Assessment and Management research groups of the Centre of Geographi-

cal Studies, all at the University of Lisbon. His field of expertise is geosimulation and geocomputation, involving artificial neural networks, graphs theory, cellular automata, and multiagent systems. Jorge's works are quite diverse, focusing mainly, but not exclusively, on urban morphology, remote sensing, epidemiology, health geography, smart cities, and big data.

Patrícia Abrantes is an assistant professor in the Institute of Geography and Spatial Planning, Universidade de Lisboa. In 2007, she completed her PhD in Geography, specializing in spatial planning in the University Nova of Lisbon and in Paris IV (Sorbonne). In the last few years, she has developed several research projects, including DAUME (sustainability of urban agriculture in the Mediterranean area) and AgriMet-MOD (Metropolitan

Agriculture spatial MODeling: contributing to the construction of an analysis model to support spatial planning and land use decision-making).

Her research interests are centered on the application of geographic technologies to spatial planning, in particular in metropolitan spaces. Her subject areas include land use and urban agriculture, agriculture ecosystem services, spatial analysis, geographic information systems (GIS), and participatory GIS.

Contents

**Section 1**

**Section 2**

Assessment in GIS\*

**Section 3**

**Preface III**

Geographic Information Systems and Science **1**

**Chapter 1 3**

Location Analytics and Modelling **21**

**Chapter 2 23**

**Chapter 3 41**

**Chapter 4 59**

Remote Sensing Data Analysis **79**

**Chapter 5 81**

**Chapter 6 101**

Introductory Chapter: Geographic Information Systems and Science

Evaluation of Nursing Facility Locations Using the Specialization

Machine Learning-Based Method for Urban Lifeline System Resilience

The Study of Risk Assessment of Soil Liquefaction on Land Development

Modeling the Environment with Remote Sensing and GIS: Applied Case Studies from Diverse Locations of the United Arab Emirates (UAE)

GIS and Remote Sensing for Mangroves Mapping and Monitoring *by Hamdan Omar, Muhamad Afizzul Misman and Samsudin Musa*

*by Cláudia M. Viana, Patrícia Abrantes and Jorge Rocha*

*by Lien-Kwei Chien, Jing-Ping Wu and Wen-Chien Tseng*

Coefficient of the Population Aging Rate *by Koya Tsukahara and Kayoko Yamamoto*

*by Wenjie Huang and Mengzhi Ling*

and Utilization by GIS in Taiwan

*by Salem Issa and Nazmi Saleous*
