Cited by 1Urban Design and Spatial AnalysisGeographic Information Systems Studies3D Modeling in Geospatial Applications

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index; 1 of the 13 sources its claims cite were checked for support.

POI VizNet: New QGIS Tool to construct Visibility Networks in Cities

Open access
Natapov, Asya, Dalyot, Sagi, Cohen, Achituv·2024·ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Abstract

Abstract. Network science and graph theory offer attractive models to describe urban phenomena and examine cases of urban planning and design. However, none of the existing network analysis tools consider simultaneously human visual perception and locations of urban activities. In this paper we introduce POI VizNet, a new QGIS plug-in that constructs various 2-dimentianal undirected graphs of unobstructed lines of sight. The plug-in integrates an increasing amount of available GIS-based data of Point Of Interest (POI) and visibility into one readily accessible analytical framework. Graphs are created between two types of decision points during urban travel – street intersections and POIs, origins, and destinations of travel, by connecting these potential observer’s decision locations in an open space between buildings. In addition, POI VizNet provides advanced options to build graphs using a predefined viewing distance and perceptual perspective. Visibility graphs are constructed and visualised as new layers in QGIS and delivered as network files suitable for further exploration, analysis, and visualisation in various network software packages.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

POI VizNet is a new open-source QGIS plug-in that constructs 2D undirected visibility graphs from street intersections and POI locations, using building footprints as view constraints. It integrates POI, visibility, and network analysis in one platform and outputs graph files for centrality analysis in QGIS or external network software.

Key findings

  • Introduces three graph types: Street Network Visibility Graph (SNVG) between street intersections, Integrative Visibility Graph (IVG) between intersections and POIs, and Point of Interest Visibility Graph (POIVG) between POIs, with links representing unobstructed lines of sight.
  • Provides advanced viewing options: restricted vision with a user-defined distance (e.g., the “400-meter rule” from Mehaffy et al. 2010) and weighted vision with link weights calculated as \(1/d^2\), where \(d\) is metric distance between nodes.
  • Preprocessing includes projection to EPSG:3857, quadtree-based intersection identification, a default 20 m intersection aggregation threshold, POI centroid conversion, and projection of inner POIs outside building facades using 5 m street subsegments and a 1 m buffer.
  • Outputs sight-line and node layers plus a GDF graph; centrality measures include degree, closeness, and betweenness via NetworkX, demonstrated with OpenStreetMap data in Bloomsbury, West End of London.

Methods

  • Design: Python-based QGIS plug-in using three input layers—street centrelines, building footprint constraints, and POI—to construct 2D undirected visibility graphs; building footprints constrain sight lines.
  • Data/sample: demonstration using OpenStreetMap data for an area in Bloomsbury, a district in the West End of London, UK, with SNVG, IVG, and POIVG examples visualized in Gephi.
  • Analysis: visibility lines are built between nodes, optionally limited by viewing distance or weighted by distance; the plug-in outputs GDF graph files and layers, and can compute centrality measures internally or in external network software.

Limitations

  • Stated: the current version treats environments as 2D and visibility as mutual, so graphs are undirected; future work plans 3D, directional viewing, and more physical/perceptual properties.
  • Stated: limited computational power restricts analysis to size-limited areas in a small neighbourhood; data quality/availability can cause intersection and POI identification errors, POI projection outside buildings is imperfect and may require manual edits, and the default 20 m aggregation threshold is not optimal for all urban cases.
  • Evident: the Bloomsbury implementation is illustrative and the text does not report quantitative validation or accuracy metrics for the constructed graphs.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.5194/isprs-annals-x-4-2024-239-2024

Cites

0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

1 of 13 cited sources checked · 1 supported · 0 flagged

Show all 15 claims

  • Probably not a substantial claim. 34
  • It may state two separate claims as one. 14
39 of 39
  • The paper relies on this without support.

    About 90% of information transmitted to the human brain is visual.

    “about 90% of information transmitted to the human brain is visual.”
  • The paper relies on this without support.

    Entities viewed at various distances have different perceptual impacts; closer entities might look more important.

    “Entities viewed at various distances will have different perceptual impacts: for instance, closer entities might look more important.”
  • The authors state this as an assumption.

    Each POI is most likely to be located outside the building in front of the façade that lies closest to the street.

    “We assume that each POI is most likely to be located outside the building in front of the façade that lies closest to the street (Figure 10c).”
  • The authors state this as an assumption.

    Building footprint polygons serve as geometric constraints for views.

    “Building footprint polygons serve as geometric constraints -we consider open space as space available for views experienced in any transport mode -pedestrian, vehicle, or cycling.”
  • The authors state this as an assumption.

    Open space between buildings is available for views experienced in any transport mode—pedestrian, vehicle, or cycling.

    “Building footprint polygons serve as geometric constraints -we consider open space as space available for views experienced in any transport mode -pedestrian, vehicle, or cycling.”
  • The paper relies on this without support.

    POI VizNet is typically applied to dense urban conditions, where the focus is on the line of sight as the most influential feature.

    “However, POI VizNet is typically applied to dense urban conditions, where the focus is on the line of sight, as the most influential feature.”
  • The authors state this as an assumption.

    The environment can be treated as two-dimensional and visibility as mutual, resulting in undirected graphs.

    “First, for the sake of simplification, we treat any environment as two dimensional, and refer to visibility as mutual, i.e., the resulted graphs are undirected.”
7 of 7

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • POI projection refers to a nonexistent stage 6

    Minor

    The procedure numbers only five stages, and the polyline-based layer is created in stage 3, not stage 6. Stage 5 therefore points to a stage that does not exist in the listed procedure.

1 of 1

Citations

Cites

The publisher hasn’t deposited this paper’s reference list.

Research works printed but not linked: 13

  1. Ben-Joseph, E.2005. The Code of the City: Standards and the Hidden Language of Place Making, Boston, MA, MIT Press.
  2. Brandes, U. 1994. A Faster Algorithm for Betweenness Centrality, Journal of Mathematical Sociology, 25: 163-177.
  3. Calthorpe, P., Fulton, W. 2001. The Regional City: Planning for the End of Sprawl. Washington, DC, Island Press.
  4. Hoboken, NJ, John Wiley and Sons.
  5. Figueiredo, L. 2005. Mindwalk: a Java based software for spatial analysis, Proceedings of the Fifth Space Syntax International Symposium, Delft, Delft University of Technology.
  6. Gross, J., Yellen, J.1999. Graph Theory and Its Application. London, CRC Press.
  7. Hillier, B., 2003b. The Architectures of seeing and going: Or, are Cities Shaped by Bodies or Minds? And is there a Syntax of Spatial Cognition?, Proceedings Space Syntax. 4th International Symposium, Hanson J (ed.), University College London, London. 2003, 06, p. 1-34.
  8. Hillier, B. 1996. Space is the machine: a configurational theory of architecture. Cambridge, UK: Cambridge University Press.
  9. Jacomy, M., Bastian, M., Heymann, S. 2009. Gephi: an open source software for exploring and manipulating networks. Proceedings of the Third International AAAI Conference on Weblogs and Social Media (ICWSM'09), in American Journal of Sociology 2009:361-362).
  10. Kim, M. 2009. Angular VGA and Cellular VGA An exploratory study for spatial analysis methodology based on human movement behaviour. 7 Th International Space Syntax Symposium, 1-14.
  11. Osborn, F., Mumford, L., Whittick, A., 1963. The New Towns: The Answer to Megalopolis, New York, McGraw-Hill.
  12. Ståhle, A., Marcus, L., Karlström, A. 2005. Place Syntax: Geographic accessibility with axial lines in GIS. In Proceedings, Fifth international space syntax symposium (pp. 131-144). Delft.
  13. Turner, A., 2007. UCL Depthmap 7: From Isovist Analysis to Generic Spatial Network Analysis, In: Turner, A. (Ed.), New Developments in Space Syntax Software. Presented at the 6th International Space Syntax Symposium, Istanbul Technical University, Istanbul, p.43-51.

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Metadata

Authors
Natapov, A., Dalyot, S., & Cohen, A.
Affiliations
  • Loughborough University (GB)
  • Technion – Israel Institute of Technology (IL)
  • Ariel University (IL)
Venue
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Published
2024-10-18
Volume
X-4-2024
Pages
239-246
ISSN
  • 2194-9042 (ISSN-L)
  • 2194-9050
OpenAlex
W4403531761
Cited by
1
References
0
Citations by year
2026: 1
FWCI
0.19
Type
journal article
Language
en
Open access
Locations
  • ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Topics
  • Social Sciences › Urban Studies › Urban Design and Spatial Analysis
  • Social Sciences › Geography, Planning and Development › Geographic Information Systems Studies
  • Physical Sciences › Engineering › Building and Construction › 3D Modeling in Geospatial Applications
Keywords
point of interest, visibility graph, visual perception, urban travel, street intersections, open space between buildings, urban planning, network analysis

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