Landmarks

GIScience for Intelligent Services
2014
ISBN: 978-3-319-05731-6
Verlag: Springer International Publishing

Buch, Englisch, 223 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 4853 g

This book covers the latest research on landmarks in GIS, including practical applications. It addresses perceptual and cognitive aspects of natural and artificial cognitive systems, computational aspects with respect to identifying or selecting landmarks for various purposes, and communication aspects of human-computer interaction for spatial information provision. Concise and organized, the book equips readers to handle complex conceptual aspects of trying to define and formally model these situations. The book provides a thorough review of the cognitive, conceptual, computational and communication aspects of GIS landmarks. This review is unique for comparing concepts across a spectrum of sub-disciplines in the field. Portions of the ideas discussed led to the world’s first commercial navigation service using landmarks selected with cognitive principles. Landmarks: GI Science for Intelligent Services targets practitioners and researchers working in geographic information science, computer science, information science, cognitive science, geography and psychology. Advanced-level students in computer science, geography and psychology will also find this book valuable as a secondary textbook or reference.

Zielgruppe

Graduate

Autoren/Hrsg.

Winter, Stephan

Richter, Kai-Florian

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Mobilfunk- und Drahtlosnetzwerke & Anwendungen
• Geowissenschaften Geologie GIS, Geoinformatik

Inhaltsverzeichnis

Introduction: What landmarks are, and why they are important.- Landmarks: A thought experiment.- Cognitive aspects: How people perceive, memorize, think and talk about landmarks.- Conceptual aspects: How landmarks can be described in data models.- Computational aspects: How landmarks can be observed, stored, and analysed.- Communication aspects: How landmarks enrich the communication between human and machine.- Conclusions: What is known and what is still challenging about landmarks.