Space syntax visibility graph analysis is not robust to changes in spatial and temporal resolution
| Autor: | Jonathan D. Ericson, Elizabeth R. Chrastil, William H. Warren |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry 05 social sciences Geography Planning and Development 0211 other engineering and technologies 050109 social psychology 021107 urban & regional planning 02 engineering and technology Management Monitoring Policy and Law Virtual reality Urban Studies Spatial behavior Visibility graph analysis Temporal resolution Architecture 0501 psychology and cognitive sciences Computer vision Artificial intelligence business Nature and Landscape Conservation Space syntax |
| Zdroj: | Environment and Planning B: Urban Analytics and City Science. 48:1478-1494 |
| ISSN: | 2399-8091 2399-8083 |
| DOI: | 10.1177/2399808319897624 |
| Popis: | Space syntax is an influential framework for quantifying the relationship between environmental geometry and human behavior. Although many studies report high syntactic–behavioral correlations, previous pedestrian data were collected at low spatiotemporal resolutions, and data transformations and sampling strategies vary widely; here, we systematically test the robustness of space syntax’s predictive strength by examining how these factors impact correlations. We used virtual reality and motion tracking to correlate 30 syntactic measures with high resolution walking trajectories downsampled at 10 grid resolutions and subjected to various log transformations. Overall, correlations declined with increasing grid resolution and were sensitive to data transformations. Moreover, simulations revealed spuriously high correlations (e.g. R2 = 1) with sparsely sampled data ( |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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