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个人简介
Daniel R. Montello is a Professor of Geography and an Affiliated Professor of Psychological & Brain Sciences at the University of California, Santa Barbara (UCSB), where he has been on the faculty since 1992
He currently co-edits the academic journal Spatial Cognition and Computation and serves on the Editorial Boards of Environment and Behavior and the Journal of Environmental Psychology. He teaches undergraduate and graduate courses on behavioral and cognitive geography and GIScience, introductory human geography, research methods, statistical analysis, and the regional geography of the United States.
Research
Professor Montello’s research in the areas of spatial, environmental, and geographic perception, cognition, affect, and behavior is essentially the overlap between geography and psychology. It pursues an understanding of human behavior and cognition in and about space and place, including geographic learning and conceptualization, travel and mobility, cartographic communication, GIS functionality and equity, and environmentally-significant behaviors. Human behavior expresses the physical interface between human bodies and the surrounding world, while the human mind emerges from the brain and nervous system in the physical body, embedded in a physical and sociocultural world, and represented externally in symbol systems such as maps and natural language. Projects Professor Montello has engaged in with his students and colleagues include work on spatial learning and education, navigation and orientation, the cognition of maps and geographic information displays, cognitive ontologies of geographic features such as regions, environmental attitudes, and nature and urban psychology. Like much of the rest of the discipline of geography, his work is extensively multi- and interdisciplinary.
研究兴趣
论文共 137 篇作者统计合作学者相似作者
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SOUTHEASTERN GEOGRAPHERno. 4 (2023): 434-436
JOURNAL OF ENVIRONMENTAL PSYCHOLOGY (2023): 102004-102004
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Applied Spatial Cognition: From Research to Cognitive Technologypp.285-316, (2020)
Local Applications of the Ecological Approach to Human-Machine Systemspp.255-284, (2018)
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