The Lineage of the Line: Space Syntax Parameters from the Analysis of Urban DEMs

2005 ◽  
Vol 32 (4) ◽  
pp. 547-566 ◽  
Author(s):  
Carlo Ratti
Keyword(s):  
Space Syntax ◽  
Line Space

4 Pattern Recognition for Healing Burns to Compute Evidence: Space Syntax and Machine Learning Analysis of Burns Center Karachi

2013 ◽  
Vol 1 (1) ◽  
pp. 13
Author(s):  
Javaria Manzoor Shaikh ◽  
JaeSeung Park
Keyword(s):  
Pattern Recognition ◽  
Prediction Models ◽  
Uv Light ◽  
Healing Process ◽  
Space Syntax ◽  
Depth Map ◽  
Routine Tasks ◽  
Hyper Plane ◽  
First Time ◽  
Learning Analysis

Usually elongated hospitalization is experienced byBurn patients, and the precise forecast of the placement of patientaccording to the healing acceleration has significant consequenceon healthcare supply administration. Substantial amount ofevidence suggest that sun light is essential to burns healing andcould be exceptionally beneficial for burned patients andworkforce in healthcare building. Satisfactory UV sunlight isfundamental for a calculated amount of burn to heal; this delicaterather complex matrix is achieved by applying patternclassification for the first time on the space syntax map of the floorplan and Browder chart of the burned patient. On the basis of thedata determined from this specific healthcare learning technique,nurse can decide the location of the patient on the floor plan, hencepatient safety first is the priority in the routine tasks by staff inhealthcare settings. Whereas insufficient UV light and vitamin Dcan retard healing process, hence this experiment focuses onmachine learning design in which pattern recognition andtechnology supports patient safety as our primary goal. In thisexperiment we lowered the adverse events from 2012- 2013, andnearly missed errors and prevented medical deaths up to 50%lower, as compared to the data of 2005- 2012 before this techniquewas incorporated.In this research paper, three distinctive phases of clinicalsituations are considered—primarily: admission, secondly: acute,and tertiary: post-treatment according to the burn pattern andhealing rate—and be validated by capable AI- origin forecastingtechniques to hypothesis placement prediction models for eachclinical stage with varying percentage of burn i.e. superficialwound, partial thickness or full thickness deep burn. Conclusivelywe proved that the depth of burn is directly proportionate to thedepth of patient’s placement in terms of window distance. Ourfindings support the hypothesis that the windowed wall is mosthealing wall, here fundamental suggestion is support vectormachines: which is most advantageous hyper plane for linearlydivisible patterns for the burns depth as well as the depth map isused.

Anastigmatic design of imaging spectrometer with varied line-space convex grating

2020 ◽  
Vol 28 (10) ◽  
pp. 2103-2111
Author(s):  
Mei-hong ZHAO ◽  
◽  
Xin-yu WANG ◽  
Yan-xiu JIANG ◽  
Shuo YANG ◽  
...  
Keyword(s):  
Imaging Spectrometer ◽  
Line Space

scholarly journals The Impact of the Ring Roads on the Location Pattern of Shops in Town and City Centres. A Space Syntax Approach

2021 ◽  
Vol 13 (7) ◽  
pp. 3927
Author(s):  
Akkelies van Nes
Keyword(s):  
Urban Areas ◽  
Space Syntax ◽  
Optimal Location ◽  
Spatial Integration ◽  
Street Network ◽  
Location Pattern ◽  
Ring Road ◽  
Road Projects ◽  
The Impact ◽  
City Centres

This contribution demonstrates how inner ring roads change the location pattern of shops in urban areas with the application of the space syntax method. A market rational behaviour persists, in that shop owners always search for an optimal location to reach as many customers as possible. If the accessibility to this optimal location is affected by changes in a city’s road and street structure, it will affect the location pattern of shops. Initially, case studies of inner ring road projects in Birmingham, Coventry, Wolverhampton, Bristol, Tampere, and Mannheim show how their realisation affect the spatial structure of the street network of these cities and the location pattern of shops. The results of the spatial integration analyses of the street and road network are discussed with reference to changes in land-use before and after the implementation of ring roads, and current space syntax theories. As the results show, how an inner ring road is connected to and the type of the street network it is imposed upon dictates the resulting location pattern of shops. Shops locate and relocate themselves along the most spatially-integrated streets. Evidence on how new road projects influence the location pattern of shops in urban centres are useful for planning sustainable city centres.

scholarly journals Introduction to Space Syntax in Urban Studies

2021 ◽  
Author(s):  
Akkelies van Nes ◽  
Claudia Yamu
Keyword(s):  
Urban Studies ◽  
Space Syntax

‘Excavating’ Pruitt-Igoe using space syntax

2021 ◽  
Vol 25 (1) ◽  
pp. 55-68
Author(s):  
Mark David Major
Keyword(s):  
United States ◽  
Twentieth Century ◽  
Public Housing ◽  
Social Housing ◽  
Space Syntax ◽  
Modern Architecture ◽  
Housing Authority ◽  
Housing Project ◽  
Housing Projects ◽  
Charles Jencks

Pruitt-Igoe, in St Louis, Missouri, United States, was one of the most notorious social housing projects of the twentieth century. Charles Jencks argued opening his book The Language of Post-Modern Architecture, ‘Modern Architecture died in St Louis, Missouri on July 15, 1972 at 3.32 pm (or thereabouts) when the infamous Pruitt-Igoe scheme, or rather several of its slab blocks, were given the final coup de grâce by dynamite.’ However, the magazine Architectural Forum had heralded the project as ‘the best high apartment’ of the year in 1951. Indeed, one of its first residents in 1957 described Pruitt-Igoe as ‘like an oasis in a desert, all of this newness’. But a later resident derided the housing project as ‘Hell on Earth’ in 1967. Only eighteen years after opening, the St Louis Public Housing Authority (PHA) began demolishing Pruitt-Igoe in 1972 [1]. It remains commonly cited for the failures of modernist design and planning.

Reading the urban socio-spatial network through space syntax and geo-tagged Twitter data

2020 ◽  
Vol 25 (6) ◽  
pp. 738-757 ◽  
Author(s):  
Aminreza Iranmanesh ◽  
Resmiye Alpar Atun
Keyword(s):  
Space Syntax ◽  
Spatial Network ◽  
Twitter Data
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