A vision-intelligent framework for mapping the genealogy of vernacular architecture

Chye Kiang Heng; T.C. Chang; Xuan Xue; Yaotian Yang; Zihui Tian

REVIEW 4 major objections 5 minor 14 references

A vision-intelligent framework for mapping the genealogy of vernacular architecture

T0 review · 4 major / 5 minor · reviewed 2026-08-07 · deepseek-v4-flash

Challenge this review Re-run · record.json Download PDF Read on arXiv ↗

Pith's one-line read The paper argues that Singapore shophouse facades are better understood as a phylogenetic network of nine style clusters than as a chronological sequence, and that this network reveals parallel ethnic evolution.

desk verdict A genuinely new vision-to-network pipeline for shophouse genealogy, but the 'network is best' claim and the nine styles rest on manual labeling and no quantitative model comparison. read the letter →

arxiv 2505.18552 v1 pith:J6J5TLP2 submitted 2025-05-24 cs.CY

Xuan Xue , Yaotian Yang , Zihui Tian , T.C. Chang , Chye Kiang Heng This is my paper

classification cs.CY

keywords vernaculararchitecturearchitecturalgenealogyculturaltransmissionphylogeneticnetworkSingaporeshophousesvisualintelligencefacadeclassificationevolution

verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

This paper tries to establish that the formal evolution of Singapore's Chinatown shophouses is a genealogical structure best captured by a phylogenetic network, not by the linear chronological styles used by heritage authorities. It proposes a general framework in which researchers formulate a cultural hypothesis, then use street-level imagery, object detection, and phylogenetic algorithms to turn buildings into feature strings, clusters, and relationship graphs. Applied to 1,277 shophouses, the framework yields 25 facade types organized into nine styles, and it claims these show both cultural evolution (from plain to ornamented to modern) and cultural diffusion (ethnic borrowing, especially during prosperity). The paper further claims that different ethnic traditions in colonial Singapore evolved in parallel rather than converging, with fusion styles remaining rare. A sympathetic reader should care because the framework offers a reproducible, quantitative way to test cultural explanations of vernacular architecture that were previously argued from selective expert intuition.

What carries the argument

The load-bearing mechanism is the phylogenetic network, a neighbour-net split graph computed from the 25 shophouse facade types. Each facade is reduced to a 14-digit binary string recording presence or absence of researcher-defined elements such as main pilaster, fanlight, Chinese plaque, Malay transom, and stepping parapet; a YOLOv5-based detector assigns these strings to images, and the strings are clustered into types. The network's key property is that it allows both strict tree-like branching and reticulate loops, so it can represent heritable continuity and cultural borrowing in the same graph, which is exactly what the paper's dual claim of evolution and diffusion requires.

What would settle it

Re-encode the same 1,277 facades with a 15th element, such as the Malay transom currently below the frequency cutoff, or drop one of the 14 elements, recompute the neighbour-net, and check whether the nine clusters and the parallel-evolution reading of ethnic styles survive; if cluster membership or the ethnic-group pattern flips, the conclusions depend on the chosen trait vocabulary.

Watch

Extended reading notes

Core claim

The central discovery is that the formal change of shophouses is best captured by a phylogenetic network, which organizes the 25 facade types into nine distinct clusters and reveals concurrent signals of cultural evolution and diffusion. The network shows a central plain ancestor (long windows and main pilasters) from which Chinese, European, and Modern groups branch outward; the Chinese and European groups sit closer to each other than either is to the Modern group, and both emerged after the plain form. Because the network contains loops as well as branches, it can register hybridisation, for example the Ethnic-Hybrid Style at Bukit Pasoh Road that mixes Chinese, European, and Malay elements, while still showing that such fusion was limited. The paper reads this as evidence that ethnic groups in colonial Singapore displayed parallel evolution rather than direct convergence, with European classicism statistically dominant.

Load-bearing premise

The genealogy rests on the assumption that the 14 researcher-chosen facade elements, encoded as binary present-or-absent traits, capture the culturally transmitted features of shophouse facades completely and without bias.

Editorial extensions

If this is right

The Urban Redevelopment Authority's six chronological styles are replaced by nine style clusters that mix chronological and ethnic signals, giving conservators a finer-grained catalogue.
Shophouse facade evolution is not a single line: the network supports both descent from a plain ancestor and later borrowing between ethnic traditions, so future dating and restoration work can treat style as a branching, mixing process.
European classical elements dominate in frequency, Chinese elements appear later, and fusion styles remain rare, supporting the paper's reading of parallel evolution rather than convergence.
The framework provides a reproducible pipeline from images to binary strings to clusters to a network to a cultural narrative, which can be recalibrated for other vernacular building traditions.
Cultural evolution (traditional to modern) and cultural diffusion (ethnic style mixing) are simultaneously visible in the network, showing that the two processes are not mutually exclusive in this setting.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

If historical construction dates for the same 1,277 facades were available, one could test the network's inferred ancestor order directly against dated examples, turning the genealogical claim into a falsifiable chronological prediction.
Adding a 15th facade element or replacing the binary encoding with continuous measurements (such as proportions or spacing) would reveal whether the nine clusters and the parallel-evolution reading are stable or artifacts of the chosen trait vocabulary.
The parallel-evolution claim suggests a comparative prediction: in cities with more porous ethnic boundaries or a different colonial power structure, networks should show more loops and more fusion styles, so comparing networks across Southeast Asian port cities would test whether competition drives the pattern.
The same vision-intelligent pipeline could be applied to other modular artefact classes, such as furniture, textiles, or building details, where element-level strings and phylogenetic networks might expose similar combinations of descent and borrowing.

Share X Bluesky LinkedIn Reddit HN

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Desk Editor's Note

read the letter

Punchline: read this if you care about computational methods for architectural history, but take the central claims with a pinch of salt. The pipeline is real and novel in application: Google Street View plus on-site photos, YOLOv5 detection on 14 facade elements, then seriation, neighbor-joining, and NeighborNet on the resulting binary strings for 1,277 Chinatown shophouses. That's a genuinely new assembly of techniques for vernacular architecture, and the nine styles they propose (Plain, Chinese, Chinese-European, Elaborated European, Modern, etc.) challenge the URA's chronological typology in a useful way. The historical archive checks, especially on the Bukit Pasoh row designed by Swan & Maclaren, give the paper credibility.

The soft spots are in the interpretation. The Abstract and Conclusion say the phylogenetic network "best captures" formal change, but there is no quantitative comparison among the three models — no bootstrap support, no split-fit values, no likelihood or model-selection criterion. The tree is rejected because the authors see no evidence that the red clade emerged before the orange, and the network is preferred because it contains loops. Those are narrative judgments, not statistics. Likewise, the four primary groups and nine styles are identified manually from the network; no clustering algorithm, stability analysis, or inter-rater validation is reported. The 14-element vocabulary and the thresholds (n<40; duplicate count <8) are hand-set and load-bearing: excluding majolica and Malay transom is what makes "Malay influence is weak" possible. Section 2 also explicitly allows researchers to iterate until a satisfactory explanation is found, which risks the model being selected because it matches the historical story.

None of this kills the paper's value as a proof-of-concept. But it does mean the cultural conclusions — the nine styles, the parallel-evolution claim — are not yet established. The paper is aimed at heritage scholars and computational cultural-evolution people. They will find the framework useful and the Singapore case rich. I would send it to a serious referee, not desk reject. The authors should be asked to ship code/data, run sensitivity analyses on thresholds, give a quantitative basis for preferring the network (bootstrap or split-fit would do), and use a reproducible clustering procedure for the styles. If they do that, this becomes a solid contribution. My own verdict: conditional.

Referee Report

4 major / 5 minor

Summary. The paper proposes a 'vision-intelligent' framework for studying the genealogy of vernacular architecture, in which a researcher iterates among collection, categorisation, and interpretation while using computer vision and phylogenetic inference to guide intuition. The framework is applied to 1,277 conserved shophouses in Singapore's Chinatown. A YOLOv5-based detector is trained to recognize 14 façade elements, each building is encoded as a binary presence/absence string, and 25 recurrent string types are derived after thresholding. The authors then fit three competing models—seriation, a neighbour-joining tree, and a NeighborNet split graph—and conclude that the phylogenetic network best captures formal change, organizing the types into nine styles. From the network and historical archives, they argue that ethnic groups in colonial Singapore exhibited parallel evolution rather than direct convergence, with European classical influence dominating and Malay influence weak.

Significance. If the central claims were quantitatively supported, the paper would make a valuable interdisciplinary contribution: it demonstrates a feasible pipeline from street-level imagery to a formal architectural genealogy, and it provides a publicly relevant dataset and a reproducible workflow for other vernacular contexts. The strengths include the scale of the image collection (3,103 images across four historic districts), the careful training and evaluation of the YOLOv5 detector (overall accuracy 0.943 on the test set), and the grounding of interpretations in specific archival sources such as the Swan & Maclaren drawings for the Bukit Pasoh row. However, the headline claims that the network is 'best' and that it 'organises the types into nine distinct clusters' are not established by the analysis as presented. The model comparison is narrative rather than statistical, and the nine styles are manually labelled rather than derived from an explicit clustering procedure. As a result, the paper's significance is currently prospective: the framework is plausible and worth pursuing, but the evidence presented does not yet justify its main conclusions.

major comments (4)

[Section 3.3, Figures 4-6] The central claim that the formal change of shophouses 'is best captured by the phylogenetic network' is not supported by any quantitative model comparison. The manuscript reports seriation, a neighbour-joining tree, and a NeighborNet network, but it reports no fit statistics, split-fit values, bootstrap support, likelihoods, or model-selection criteria. The tree is rejected on the narrative ground that 'no evidence shows that the red clade featuring predominantly Chinese elements emerged earlier than the orange clade featuring predominantly European elements' (Section 3.3.2), and the network is preferred because it 'contains loops, indicating conflicting transmission signals' (Section 3.3.3). These are historical interpretations, not statistical evidence that the network fits the binary trait data better than the alternative models. The authors should provide a quantitative comparison, for instance by reporting and comparing split fit indices, delta scores, or quartet-fit measures for the tree and network, or by testing the significance of the reticulate signal.
[Section 3.3.3, Figures 6-7] The four primary groups and the nine styles are identified manually from the network, not derived by an algorithm. The abstract and conclusion state that the network 'organises the types into nine distinct clusters', but no clustering method, stability analysis, or inter-rater validation is reported. The assignment of Type 21 to the Ethnic-Hybrid Style and of Types 9, 11, 6, 10, 7, 8 to the Stripped Ethnic Style appears to be based on visual inspection of the split graph plus historical reasoning. To make the 'nine distinct clusters' claim defensible, the authors should apply an explicit clustering method to the network or its underlying distance matrix (e.g., community detection on the split graph, or k-medoids with a principled choice of k), and report cluster stability (e.g., via bootstrapping). Alternatively, the nine styles should be presented explicitly as an expert interpretation that goes beyond, rather than follows from, the network analysis.
[Section 3.2] The feature vocabulary and the thresholds used to define the 25 types are load-bearing for the cultural conclusions, yet their influence is not assessed. In particular, the removal of façade elements with fewer than 40 instances (majolica tiles and Malay transom) before type construction means that the later conclusion of 'weak Malay influence' is partly a consequence of the inclusion threshold: Malay transom is excluded by construction from the 25 types and therefore cannot contribute to any type-based measure of influence. The duplicate-count threshold (fewer than 8 duplicates) similarly determines the number of types. The authors should report sensitivity analyses with respect to these thresholds—for example, re-running the type construction with n<20 or n<60, or with duplicate thresholds of 4 and 12—and show whether the network topology, the number of clusters, and the cultural interpretation are robust. The claim that the nine-style classification is a robust finding requires such evidence.
[Section 2] The framework explicitly allows iterative revision of the model until a 'satisfactory explanation f(X(y))' is reached, and the conclusion restates that hypotheses are 'constantly revisited and updated in view of empirical findings'. As described, this creates a risk of circularity: the model is partly selected because it matches the historical narrative, and the historical narrative is then used to validate the model. The manuscript should document which analytical choices (feature set, thresholds, model family, grouping of styles) were made a priori versus which were made after consulting the historical archive, ideally with a pre-registration or an explicit decision log. Without this, the 'best captured by the network' claim cannot be distinguished from a post hoc narrative fit.

minor comments (5)

[Section 3.2] The text first says each building is represented by a 14-digit binary string, but later refers to '17-digit strings' when counting duplicates. Please clarify the string length and reconcile the notation.
[Section 3.2] The building counts do not reconcile: 1,277 buildings, 60 with zero strings, 56 confirmed as variants, and 'the rest of the 1,211 shophouses' do not add up to 1,277 under any obvious interpretation. Please provide exact exclusion and inclusion counts.
[Section 3.2, Figure 3] The in-text callouts for Figure 3 are inconsistent with the caption: the text says 'Figure 3c shows the correlation index' and 'Figure 3b shows the frequency', but the caption describes b as the correlation index and c as the frequency. Please correct the callouts or the caption.
[Section 3.3.3] The labels 'Group Yellow' and 'Group Blue' are used alongside 'Group European' and 'Group Modern' for the same entities. Please use one consistent set of labels throughout to avoid confusion.
[Section 3.1] The manuscript references 'Figure 2' for the collection workflow, but the caption describes both collection and categorisation, and the figure also appears to include detection performance. Consider splitting the workflow and performance panels or adjusting the caption to match the text.

Circularity Check

3 steps flagged · score 6.0 of 10

Central 'network best captures' claim is selected by an iterative fit to historical archives, and the ethnic conclusions are predetermined by feature filters and manual cluster labels.

fitted input called prediction [Section 3.2 (Categorisation), label-class filtering and frequency results]
"First, façade elements with insufficient instances (n<40), indicating relative unimportance, were removed. ... Majolica tiles and Malay transom are excluded from the 25 main types of compositions, indicating their very low presence in Chinatown. ... The results indicate that the influence of the Malay is weak in an ethnic district predominated by the Chinese."

The n<40 threshold is applied before the analysis and defines which elements count as 'unimportant' or rare. Malay transom and majolica tiles are removed because they have few instances, and their exclusion is then reported as evidence of 'very low presence' and as the basis for concluding that 'the influence of the Malay is weak.' The conclusion is not an independent output of the phylogenetic analysis; it is a restatement of the same frequency filter that removed those elements from the input. The input selection and the reported finding are the same quantity, so the 'weak Malay influence' claim is forced by construction.
self definitional [Section 3.3.3 (Network), cluster identification and conclusion]
"We identified four clusters in the network: the Group Plain in grey, the Group Chinese in red, the Group Euro in yellow and the Group Modern in blue. ... Nine distinct subgroups were further identified based on the four primary groups, which are also the nine styles that best capture the character of Singapore shophouses. ... This distribution suggests that different ethnic groups remained in competition, displaying a pattern of parallel evolution rather than direct convergence."

The four 'groups' and nine 'styles' are labelled by the authors using the same ethnic and formal vocabulary that defined the 14 input features (Chinese calligraphy, Chinese decorative panels, European fanlights, modillions, Malay transom, modern windows, etc.). The network topology is not used to infer these ethnic categories; the categories are imposed on the network after the fact. The conclusion about ethnic competition and parallel evolution is then read off the percentages of these manually labelled groups. Thus the cultural findings are a paraphrase of the labels the authors themselves attached to the clusters, rather than a result derived from the network.

1 more flagged steps

other [Section 2 (Computing the Vernacular) and Section 3.3.2-3.3.3]
"The iterative process may need to be repeated multiple times before arriving at a satisfactory explanation f(X(y)). ... In referring to historical archives, many of the ancestor-descendant relationships indicated by the phylogenetic tree are invalid. ... Building on preliminary studies of façade elements that suggest frequent intra-ethnic exchange in Singapore's society, we speculate that a network model more effectively captures the relationships among the 25 types."

The framework explicitly allows revising the hypothesis and altering the model until the explanation is 'satisfactory' relative to historical archives. In the case study, the tree model is rejected because its inferred ancestor-descendant order contradicts historical archives, and the network is preferred because it accommodates conflicting signals and matches the authors' prior speculation about intra-ethnic exchange.

full rationale

This is not a case of self-citation circularity; no load-bearing uniqueness theorem or author-cited prior result is invoked. The data-acquisition and object-detection stages are self-contained and report a real supervised model (YOLOv5, overall accuracy 0.94332) on independently labelled images. However, the interpretive chain that produces the paper's headline findings is circular at three connected points. First, the n<40 filter removes rare Malay-coded elements before analysis, and the same rarity is then cited as evidence of weak Malay influence. Second, the four groups and nine styles are labelled by the authors from the same ethnic/formal vocabulary that defines the input features, and the cultural conclusions paraphrase those labels rather than being derived from the network topology. Third, the framework explicitly selects a 'satisfactory explanation f(X(y))' by iterating against historical archives, with the tree rejected and the network accepted on narrative grounds. The central claim that the formal change is 'best captured by a phylogenetic network' is thus not an independent derivation from the data; it is the outcome of a selection loop whose criteria are the historical narratives later presented as discoveries. A quantitative model comparison, such as split-fit statistics, bootstrap support, or cluster stability analysis, would be needed to break this circle and support the comparative claim.

Assumptions & free parameters 4 free parameters · 4 assumptions · 0 invented entities

The central claim rests on several manually set thresholds and domain assumptions. The most consequential choices are the 14-element feature vocabulary, the n<40 and duplicate<8 filters, and the manual identification of four groups and nine styles in the network. These choices are not derived from first principles or independently validated, and they directly shape the cultural conclusions.

free parameters (4)

Minimum instance threshold for label classes = n < 40 removed
Hand-set in Section 3.2; removes rare facade elements before analysis and affects which influences can be detected downstream.
Duplicate-count threshold for string labels = duplicates < 8 filtered out
Hand-set in Section 3.2; reduces 1,211 buildings to 25 types with no stability analysis.
Number of clusters in the network = 4 primary groups and 9 styles
Identified manually from the neighbor-net graph in Section 3.3.3, not produced by a clustering algorithm with an objective criterion.
YOLOv5 architecture and augmentation settings = not specified
Model choice affects detection accuracy; no architecture details or hyperparameters are provided.

assumptions (4)

domain assumption Cultural change is systematic and based on continuous person-to-person transmission
Adopted from Spaulding (1955) via archaeological phylogenetics to justify treating facade elements as heritable cultural units.
ad hoc to paper Interpretation of historical artefacts is a process of finding a function f from a discrete data set
Central epistemological stance of the framework, stated in Section 2 and the Conclusion; not independently proven.
domain assumption Facade elements are stable, culturally meaningful units with explicit similarities to European, Chinese, Malay, and modern vocabularies
Basis for defining the 14 label classes in Section 3.1; the choice of these units determines all downstream results.
standard math Phylogenetic methods (seriation, neighbor-joining, neighbor-net) are valid for cultural data
Standard mathematical tools, but their transfer to vernacular architecture is an assumption about cultural transmission modes.

how reviews work

0 comments

Cite this review

Pith. "Pith review of A vision-intelligent framework for mapping the genealogy of vernacular architecture." pith.science (2026). https://pith.science/paper/J6J5TLP2

@misc{pith2026250518552,
  author       = {Pith},
  title        = {Pith review of: A vision-intelligent framework for mapping the genealogy of vernacular architecture},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/J6J5TLP2}},
  note         = {Machine review of arXiv:2505.18552}
}

read the original abstract

The study of vernacular architecture involves recording, ordering, and analysing buildings to probe their physical, social, and cultural explanations. Traditionally, this process is conducted manually and intuitively by researchers. Because human perception is selective and often partial, the resulting interpretations of architecture are invariably broad and loose, often lingering on form descriptions that adhere to a preset linear historical progression or crude regional demarcations. This study proposes a research framework by which intelligent technologies can be systematically assembled to augment researchers' intuition in mapping or uncovering the genealogy of vernacular architecture and its connotative socio-cultural system. We employ this framework to examine the stylistic classification of 1,277 historical shophouses in Singapore's Chinatown. Findings extend beyond the chronological classification established by the Urban Redevelopment Authority of Singapore in the 1980s and 1990s, presenting instead a phylogenetic network to capture the formal evolution of shophouses across time and space. The network organises the shophouse types into nine distinct clusters, revealing concurrent evidences of cultural evolution and diffusion. Moreover, it provides a critical perspective on the multi-ethnic character of Singapore shophouses by suggesting that the distinct cultural influences of different ethnic groups led to a pattern of parallel evolution rather than direct convergence. Our work advances a quantitative genealogy of vernacular architecture, which not only assists in formal description but also reveals the underlying forces of development and change. It also exemplified the potential of collaboration between studies in vernacular architecture and computer science, demonstrating how leveraging the strengths of both fields can yield remarkable insights.

Figures

Figures reproduced from arXiv: 2505.18552 by the authors.

**Figure 2.** The collection and categorisation of Singapore shophouse façades. a, the workflow from collection to categorisation. b, the performance of the YOLOv5-based detection model in identifying the 15 label classes Next, we labelled 708 out of 3,361 images from on-site photography with 15 label classes (14 label classes plus the building label) and divided them into training, validation, and testing. Since multiple element… view at source ↗

**Figure 3.** The categorisation results of Singapore shophouse façades. a, the 25 types of Singapore shophouse facades in Chinatown. b, the correlation index of façade elements in composing main types. c, the frequency and percentage of shophouses containing each façade element. 3.3. Interpretation To unpack whether and how one shophouse façade type is related to another, we must introduce statistical models with cultural hypoth… view at source ↗

Figures from the paper (1 more)

**Figure 4.** Figure 4: The interpretation of Singapore shophouse facades based on the line mode. 3.3.2. Tree The tree mode, developed upon the neighbour-joining algorithm, suggests a phylogenetic tree to depict the evolutionary relationship among the taxas. This tree assumes a branching patt…

Discussion (0). Sign in to comment.

Reference graph

Works this paper leans on

14 extracted references · 14 canonical work pages

[8]

Advances in Archaeological Seriation

Marquardt, William H. “Advances in Archaeological Seriation.” Advances in Archaeological Method and Theory 1 (1978): 257–314. National Heritage Board. “The Singapore Shophouses: Defining Early Singapore’s Cityscape.” Roots, June 21,

work page 1978
[1905]

Eighteenth-Century Cultural Process in Delaware Valley Folk Building

http://archive.org/details/historyofarchite00flet. Glassie, Henry. “Eighteenth-Century Cultural Process in Delaware Valley Folk Building.” Winterthur Portfolio 7 (January 1972): 29–57. https://doi.org/10.1086/495804. ———. Folk Housing in Middle Virginia: A Structural Analysis of Historic Artifacts. First Edition, First. Knoxville: Univ Tennessee Press,

work page doi:10.1086/495804 1972
[1976]

Past: Paleontological Statistics Software Package for Educaton and Data Anlysis

Hammer, Øyvind, David A.T. Harper, and Paul D. Ryan. “Past: Paleontological Statistics Software Package for Educaton and Data Anlysis.” Palaeontologia Electronica 4, no. 1 (2001): 1–9. Huson, Daniel H., and David Bryant. “The SplitsTree App: Interactive Analysis and Visualization Using Phylogenetic Trees and Networks.” Nature Methods 21, no. 10 (October 2...

work page doi:10.1038/s41592-024-02406- 2001
[1996]

Singapore Shophouse: Conserving a Landscape Tradition

Savage, Victor. “Singapore Shophouse: Conserving a Landscape Tradition.” SPAFA Journal 11, no. 1 (2001): 5–22. Shalunts, Gayane, Yll Haxhimusa, and Robert Sablatnig. “Architectural Style Classification of Building Facade Windows.” In Advances in Visual Computing, edited by George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Song Wang, Kim Kyungnam,...

work page 2001
[1997]

Vernacular Know-How

———. “Vernacular Know-How.” Material Culture 18, no. 3 (1986): 113–26. ———. “Why Study Vernacular Architecture? (1978).” In Built to Meet Need: Cultural Issues in Vernacular Architecture, 3–16

work page 1986
[2005]

Can Virtual Streetscape Audits Reliably Replace Physical Streetscape Audits?

Badland, Hannah M., Simon Opit, Karen Witten, Robin A. Kearns, and Suzanne Mavoa. “Can Virtual Streetscape Audits Reliably Replace Physical Streetscape Audits?” Journal of Urban Health 87, no. 6 (December 1, 2010): 1007–16. https://doi.org/10.1007/s11524-010-9505-x. Berland, Adam, and Daniel A. Lange. “Google Street View Shows Promise for Virtual Street T...

work page arXiv 2010
[2006]

Seriation and Cladistics: The Difference between Anagenetic and Cladogenetic Evolution

https://doi.org/10.4324/9780203786376. Lyman, R. Lee, and Michael J. O’Brien. “Seriation and Cladistics: The Difference between Anagenetic and Cladogenetic Evolution.” In Mapping Our Ancestors: Phylogenetic Approaches in Anthropology and Prehistory, edited by Carl P . Lipo, Michael J. O’Brien, Mark Collard, and Stephen J. Shennan, 65–88. New 27 York: Routledge,

work page doi:10.4324/9780203786376
[2009]

Oliver, Paul

https://doi.org/10.1007/978-0-387-72071-5_13. Oliver, Paul. Built to Meet Needs: Cultural Issues in Vernacular Architecture. Oxford: Architectural Press,

work page doi:10.1007/978-0-387-72071-5_13

Show all 14 references

[2010]

Folk Housing: Key to Diffusion

Kniffen, Fred. “Folk Housing: Key to Diffusion.” Annals of the Association of American Geographers 55, no. 4 (December 1, 1965): 549–76. https://doi.org/10.1111/j.1467-8306.1965.tb00535.x. Lawrence, Roderick J. “The Interpretation of Vernacular Architecture.” Vernacular Archit...

1983
[2011]

Spaulding, Albert C

https://doi.org/10.1007/978-3-642-24031-7_28. Spaulding, Albert C. Prehistoric Cultural Development in the Eastern United States. The Bobbs-Merrill Reprint Series in the Social Sciences. Indianapolis: Bobbs- Merrill,

doi
[2013]

The Shophouse Hotel: Vernacular Heritage in a Creative City

Chang, T.C., and Peggy Teo. “The Shophouse Hotel: Vernacular Heritage in a Creative City.” Urban Studies 46, no. 2 (February 2009): 341–67. https://doi.org/10.1177/0042098008099358. Christenson, Mike. “Viewpoint: ‘From the Unknown to the Known’: Transitions in the Architectura...

2011
[2015]

Investigating Cultural Evolution through Biological Phylogenetic Analyses of Turkmen Textiles

28 Tehrani, Jamshid, and Mark Collard. “Investigating Cultural Evolution through Biological Phylogenetic Analyses of Turkmen Textiles.” Journal of Anthropological Archaeology 21, no. 4 (December 2, 2002): 443–63. https://doi.org/10.1016/S0278-4165(02)00002-8. Upton, Dell. “The...

1983
[2021]

Lipo, Carl P ., Michael J

https://doi.org/10.1007/s11146-021-09845-1. Lipo, Carl P ., Michael J. O’Brien, Mark Collard, and Stephen J. Shennan, eds. Mapping Our Ancestors: Phylogenetic Approaches in Anthropology and Prehistory. New York: Routledge,

doi
[2022]

Understanding Architecture Age and Style through Deep Learning

https://doi.org/10.48550/arXiv.2208.00881. Sun, Maoran, Fan Zhang, Fabio Duarte, and Carlo Ratti. “Understanding Architecture Age and Style through Deep Learning.” Cities 128 (September 2022): 103787. https://doi.org/10.1016/j.cities.2022.103787. Tan, Yeow Wooi. Penang Shophou...

2022 doi arXiv

Pith tools

Reviewed August 7, 2026 · model on record in the stance chip above.

[1] [8]

Advances in Archaeological Seriation

Marquardt, William H. “Advances in Archaeological Seriation.” Advances in Archaeological Method and Theory 1 (1978): 257–314. National Heritage Board. “The Singapore Shophouses: Defining Early Singapore’s Cityscape.” Roots, June 21,

work page 1978

[2] [1905]

Eighteenth-Century Cultural Process in Delaware Valley Folk Building

http://archive.org/details/historyofarchite00flet. Glassie, Henry. “Eighteenth-Century Cultural Process in Delaware Valley Folk Building.” Winterthur Portfolio 7 (January 1972): 29–57. https://doi.org/10.1086/495804. ———. Folk Housing in Middle Virginia: A Structural Analysis of Historic Artifacts. First Edition, First. Knoxville: Univ Tennessee Press,

work page doi:10.1086/495804 1972

[3] [1976]

Past: Paleontological Statistics Software Package for Educaton and Data Anlysis

Hammer, Øyvind, David A.T. Harper, and Paul D. Ryan. “Past: Paleontological Statistics Software Package for Educaton and Data Anlysis.” Palaeontologia Electronica 4, no. 1 (2001): 1–9. Huson, Daniel H., and David Bryant. “The SplitsTree App: Interactive Analysis and Visualization Using Phylogenetic Trees and Networks.” Nature Methods 21, no. 10 (October 2...

work page doi:10.1038/s41592-024-02406- 2001

[4] [1996]

Singapore Shophouse: Conserving a Landscape Tradition

Savage, Victor. “Singapore Shophouse: Conserving a Landscape Tradition.” SPAFA Journal 11, no. 1 (2001): 5–22. Shalunts, Gayane, Yll Haxhimusa, and Robert Sablatnig. “Architectural Style Classification of Building Facade Windows.” In Advances in Visual Computing, edited by George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Song Wang, Kim Kyungnam,...

work page 2001

[5] [1997]

Vernacular Know-How

———. “Vernacular Know-How.” Material Culture 18, no. 3 (1986): 113–26. ———. “Why Study Vernacular Architecture? (1978).” In Built to Meet Need: Cultural Issues in Vernacular Architecture, 3–16

work page 1986

[6] [2005]

Can Virtual Streetscape Audits Reliably Replace Physical Streetscape Audits?

Badland, Hannah M., Simon Opit, Karen Witten, Robin A. Kearns, and Suzanne Mavoa. “Can Virtual Streetscape Audits Reliably Replace Physical Streetscape Audits?” Journal of Urban Health 87, no. 6 (December 1, 2010): 1007–16. https://doi.org/10.1007/s11524-010-9505-x. Berland, Adam, and Daniel A. Lange. “Google Street View Shows Promise for Virtual Street T...

work page arXiv 2010

[7] [2006]

Seriation and Cladistics: The Difference between Anagenetic and Cladogenetic Evolution

https://doi.org/10.4324/9780203786376. Lyman, R. Lee, and Michael J. O’Brien. “Seriation and Cladistics: The Difference between Anagenetic and Cladogenetic Evolution.” In Mapping Our Ancestors: Phylogenetic Approaches in Anthropology and Prehistory, edited by Carl P . Lipo, Michael J. O’Brien, Mark Collard, and Stephen J. Shennan, 65–88. New 27 York: Routledge,

work page doi:10.4324/9780203786376

[8] [2009]

Oliver, Paul

https://doi.org/10.1007/978-0-387-72071-5_13. Oliver, Paul. Built to Meet Needs: Cultural Issues in Vernacular Architecture. Oxford: Architectural Press,

work page doi:10.1007/978-0-387-72071-5_13