A New Framework for Understanding the Acquisition of Spatial Knowledge in Large-Scale Environments
Abstract
People acquire knowledge about the spatial layout of the places they experience (cities, neighborhoods, buildings). This includes knowledge of locations, distances, and directions. The acquisition of this knowledge begins immediately, as soon as one arrives in a place, but presumably continues over long time periods, for months, years, and even decades. This knowledge can become quite extensive and elaborate. It provides a framework for the organization of experience and supports sophisticated spatial behavior such as creative wayfinding and direction giving. The developmental process of acquiring knowledge about the spatial lay out of places over time is termed.
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Wayfinders' spatial knowledge formation increases with increased environmental exposure.
“wayfinders’ spatial knowledge formation increases with increased environmental exposure (Montello, 1998; Siegel & White, 1975).”
From The influence of landmark visualization style on task performance, visual attention, and spatial learning in a real-world navigation task (2024) · cites this paper as Montello, 1998
The effect of familiarity with the study area was controlled for in the analyses.
“Since familiarity with the study area might influence wayfinders’ spatial learning (Montello, 1998; Siegel & White, 1975), we controlled for the effect of familiarity in our analyses.”
From The influence of landmark visualization style on task performance, visual attention, and spatial learning in a real-world navigation task (2024) · cites this paper as Montello, 1998
The findings that more familiar people showed improved performance are not surprising and align with previous work suggesting that spatial knowledge formation increases with increased environmental exposure.
“These findings are not surprising and align with previous work suggesting that wayfinders’ spatial knowledge formation increases with increased environmental exposure (Montello, 1998; Siegel & White, 1975).”
From The influence of landmark visualization style on task performance, visual attention, and spatial learning in a real-world navigation task (2024) · cites this paper as Montello, 1998
Cites
Cognitive maps in rats and men
Tolman, E. C. (1948) · Psychological Review · doi:10.1037/h0061626 · Cited by 6,641 · see citing works
The Development of Spatial Representations of Large-Scale Environments
Siegel, A. W., & White, S. H. (1975) · Advances in Child Development and Behavior · doi:10.1016/s0065-2407(08)60007-5 · Cited by 1,830 · see citing works
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ISHIKAWA, T., & MONTELLO, D. (2006) · Cognitive Psychology · doi:10.1016/j.cogpsych.2005.08.003 · Cited by 640 · see citing works
Self-citationUp the down staircase: Wayfinding strategies in multi-level buildings
Hölscher, C., Meilinger, T., Vrachliotis, G., Brösamle, M., & Knauff, M. (2006) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2006.09.002 · Cited by 350 · see citing works
Variations in cognitive maps: Understanding individual differences in navigation.
Weisberg, S. M., Schinazi, V. R., Newcombe, N. S., Shipley, T. F., & Epstein, R. A. (2014) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/a0035261 · Cited by 270 · see citing works
Structuring knowledge with cognitive maps and cognitive graphs
Peer, M., Brunec, I. K., Newcombe, N. S., & Epstein, R. A. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.10.004 · Cited by 283 · see citing works
How do (some) people make a cognitive map? Routes, places, and working memory.
Weisberg, S. M., & Newcombe, N. S. (2016) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/xlm0000200 · Cited by 219 · see citing works
Spatial navigation by congenitally blind individuals
Schinazi, V. R., Thrash, T., & Chebat, D. (2016) · WIREs Cognitive Science · doi:10.1002/wcs.1375 · Cited by 227 · see citing works
Hippocampal size predicts rapid learning of a cognitive map in humans
Schinazi, V. R., Nardi, D., Newcombe, N. S., Shipley, T. F., & Epstein, R. A. (2013) · Hippocampus · doi:10.1002/hipo.22111 · Cited by 231 · see citing works
Ekstrom, A. D., Huffman, D. J., & Starrett, M. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00531.2017 · Cited by 186 · see citing works
Neural foundations of emerging route knowledge in complex spatial environments
Wolbers, T., Weiller, C., & Büchel, C. (2004) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2004.06.013 · Cited by 146 · see citing works
A comparison of spatial knowledge acquisition with maps and mobile maps
Willis, K. S., Hölscher, C., Wilbertz, G., & Li, C. (2009) · Computers, Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2009.01.004 · Cited by 133 · see citing works
Large-scale assessment of human navigation ability across the lifespan
van der Ham, I. J. M., Claessen, M. H. G., Evers, A. W. M., & van der Kuil, M. N. A. (2020) · Scientific Reports · doi:10.1038/s41598-020-60302-0 · Cited by 76 · see citing works
The effect of navigational expertise on wayfinding in new environments
Woollett, K., & Maguire, E. A. (2010) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2010.03.003 · Cited by 68 · see citing works
Individual differences in the representations of novel environments
Blajenkova, O., Motes, M. A., & Kozhevnikov, M. (2005) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2004.12.003 · Cited by 64 · see citing works
North is up(hill): Route planning heuristics in real-world environments
T. Brunyé, T., R. Mahoney, C., L. Gardony, A., & A. Taylor, H. (2010) · Memory & Cognition · doi:10.3758/mc.38.6.700 · Cited by 63 · see citing works
A heuristic model of bounded route choice in urban areas
Manley, E. J., Orr, S. W., & Cheng, T. (2015) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2015.03.020 · Cited by 54 · see citing works
Up north and down south: Implicit associations between topography and cardinal direction
Brunyé, T. T., Gagnon, S. A., Waller, D., Hodgson, E., Tower-Richardi, S., & Taylor, H. A. (2012) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2012.663393 · Cited by 25 · see citing works
Kapaj, A., Hilton, C., Lanini-Maggi, S., & Fabrikant, S. I. (2024) · Spatial Cognition & Computation · doi:10.1080/13875868.2024.2328099 · Cited by 20 · see citing works
Stites, M. C., Matzen, L. E., & Gastelum, Z. N. (2020) · Cognitive Research: Principles and Implications · doi:10.1186/s41235-020-00213-w · Cited by 12 · see citing works
Chan, H. M., Ding, J., & Saunders, J. A. (2023) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2023.102156 · Cited by 4 · see citing works
- Authors
- Montello, D. R.
- Corresponding author
- Montello, Daniel R
- Venue
- Spatial And Temporal Reasoning In Geographic Information Systems
- Publisher
- Oxford University PressNew York, NY
- Published
- 1998-03-05
- Pages
- 143-154
- OpenAlex
- W131738636
- Cited by
- 414
- References
- 2
- Citations by year
- 2026: 23 · 2025: 13 · 2024: 16 · 2023: 24 · 2022: 21 · 2021: 29 · 2020: 29 · 2019: 21 · 2018: 14 · 2017: 17 · 2016: 17 · 2015: 17 · 2014: 22 · 2013: 16 · 2012: 25
- FWCI
- 26.47
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Oxford University Press eBooks (publishedVersion)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Spatial Cognition and Navigation
- Social Sciences › Geography, Planning and Development › Geography Education and Pedagogy
- Physical Sciences › Engineering › Building and Construction › Urban Design and Spatial Analysis
- Keywords
- spatial knowledge acquisition, spatial configuration, wayfinding, giving directions, spatial cognition, cognitive development, large-scale environments, cities, neighborhood, buildings
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