Landmarks: GIScience for Intelligent ServicesThis 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. |
Contents
1 | |
A Thought Experiment | 27 |
How People Perceive Memorize Think and Talk About Landmarks | 41 |
How Landmarks Can Be Describedin Data Models | 109 |
How Landmarks Can Be Observed Stored and Analysed | 137 |
How Landmarks Enrichthe Communication Between Human and Machine | 175 |
What Is Known and What Is Still Challenging About Landmarks | 205 |
213 | |
220 | |
Other editions - View all
Landmarks: Giscience for Intelligent Services Kai-Florian Richter,Stephan Winter No preview available - 2014 |
Landmarks: GIScience for Intelligent Services Kai-Florian Richter,Stephan Winter No preview available - 2014 |
Landmarks: GIScience for Intelligent Services Kai-Florian Richter,Stephan Winter No preview available - 2016 |
Common terms and phrases
ˆ ˆ ˆ algorithm anchor approach Artificial Intelligence Berlin brain building cells cognitive map cognitive science communication Computer Science concept configuration context decision point dialog discussed edges Egenhofer elements embodied experience entities environment example formal model Freksa function Geographic Information geographic objects global hierarchy hippocampus human-computer interaction identified instructions interaction intersection landmark candidates landmark references language learning Lecture Notes location-based services Lynch’s machine memory mental representations mental spatial representations Montello navigation nodes Notes in Computer OpenStreetMap orientation and wayfinding path integration perspective place descriptions place Vendôme properties Psychol Raubal reference points references to landmarks relevant Richter route descriptions route directions salience Sect semantics sketches spatial abilities spatial cognition spatial databases spatial granularity Spatial Information Theory spatial memory Springer street structure tasks understanding urban user-generated content verbal visual Voronoi diagram wayfinding Winter