Spatial Rescaling
Spatial Rescaling is a methodological framework within geographical and environmental analysis that redefines the spatial extent or resolution of a phenomenon or dataset to enable comparison, integration, or modeling across different scales.
187
Publications
12.1K
Citations
456
Authors
278
Institutions
Publications per year
2017–2026
55
Parents
187
Xiao‐Peng Song, Min Feng, Praveen Noojipady et al. · International Journal of Digital Earth · 2013 · 843 citations · Full text
Experience-dependent rescaling of entorhinal grids
Caswell Barry, Robin Hayman, Neil Burgess et al. · Nature Neuroscience · 2007 · 557 citations
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Laboratoire Techniques, Territoires et Sociétés, France
2 publications · 60 citations
2
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2
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1–5 of 456
278

University of Hong Kong
Pok Fu Lam, Hong Kong
4 h-index
5 publications
188 citations
The Ohio State University
Columbus, United States
4 h-index
5 publications
539 citations
University College London
London, United Kingdom
4 h-index
8 publications
2.3K citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
5 publications
129 citations

University of Amsterdam
Amsterdam, The Netherlands
4 h-index
4 publications
178 citations
New York University
New York, United States
3 h-index
3 publications
872 citations

Delft University of Technology
Delft, The Netherlands
3 h-index
3 publications
294 citations

The University of Queensland
Brisbane, Australia
3 h-index
3 publications
60 citations
1–8 of 278
6 publications · 393 citations
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6 publications · 201 citations
6
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5 publications · 185 citations
5
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4 publications · 124 citations
4
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4 publications · 196 citations
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