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Record W4415371177 · doi:10.5194/ica-adv-5-15-2025

Urban Planning Analysis Using Stereo Mapping Feature Collection

2025· article· en· W4415371177 on OpenAlexaffabout
Filip Janicijevic, Sinisa Vukicevic

Bibliographic record

VenueAdvances in Cartography and GIScience of the ICA · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicRemote Sensing and Land Use
Canadian institutionsLangara College
Fundersnot available
KeywordsMetropolitan areaGeospatial analysisUrban planningFeature (linguistics)Perspective (graphical)PopulationFocus (optics)

Abstract

fetched live from OpenAlex

Abstract. Metro Vancouver is Canada's third most populated metropolitan region, with the prospect of reaching 4 million people in the mid-2040s, according to recently published population projections. Metro 2050, The Regional Growth Strategy, highlighted regional urban centres as the priority locations for services and amenities that support a growing population. The focus of the growth to urban centres means an essential change of centres' urban form towards higher density and their "vertical growth". The stereo mapping feature collection method has been applied to capture urban centres' morphology change. Detailed buildings in 3D from stereo mapping were analyzed from the perspective of change in building height, lot coverage and floor area ratio. This paper will provide insights into the stereo mapping feature collection, geospatial analysis and modelling to support regional policymaking. Stereo mapping in urban planning allows us to transition from traditional 2D regional planning into 3D regional planning and gives us a new perspective on how our cities develop.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.219

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.246
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueAdvances in Cartography and GIScience of the ICASame topicRemote Sensing and Land UseFrench-language works237,207