Spatial Modelling

2021 ◽  
pp. 189-256
Author(s):  
Jay Gao
Keyword(s):  
2020 ◽  
Author(s):  
Annie J. Browne ◽  
Michael G. Chipeta ◽  
Georgina Haines-Woodhouse ◽  
Emmanuelle P. A. Kumaran ◽  
Bahar H. Kashef Hamadani ◽  
...  

2021 ◽  
Vol 1 (1) ◽  
pp. 39-47
Author(s):  
Christine Price

This paper problematises the dominance of global north perspectives in landscape architectural education, in South Africa where there are urgent calls to decolonise education and make visible indigenous and vernacular meaning-making practices. In grappling with these concerns, this research finds resonance with a multimodal social semiotic approach that acknowledges the interest, agency and resourcefulness of students as meaning-makers in both accessing and challenging dominant educational discourses. This research involves a case study of a design project in a first-year landscape architectural studio. The project requires students to choose a narrative and to represent it as a spatial model: a scaled, 3D maquette of a spatial experience that could be installed in a public park. This practitioner reflection closely analyses the spatial model of one student, Malibongwe, focusing on his interest in meaning-making; the innovative meaning-making practices and diverse resources he draws on; and his expression of spatial signifiers of the Black experiences portrayed in his narrative. This reflection shows how Malibongwe’s narrative is not only reproduced in the spatial model, it is remade: the transformation of resources into three-dimensional spatial form results in new understandings and the production of new meanings.


Author(s):  
Jens Christian Wahl ◽  
Fredrik Lohne Aanes ◽  
Kjersti Aas ◽  
Sindre Froyn ◽  
Daniel Piacek

Author(s):  
Paula Moraga ◽  
Christopher Dean ◽  
Joshua Inoue ◽  
Piotr Morawiecki ◽  
Shahzeb Raja Noureen ◽  
...  

Atmosphere ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 179
Author(s):  
Said Munir ◽  
Martin Mayfield ◽  
Daniel Coca

Small-scale spatial variability in NO2 concentrations is analysed with the help of pollution maps. Maps of NO2 estimated by the Airviro dispersion model and land use regression (LUR) model are fused with measured NO2 concentrations from low-cost sensors (LCS), reference sensors and diffusion tubes. In this study, geostatistical universal kriging was employed for fusing (integrating) model estimations with measured NO2 concentrations. The results showed that the data fusion approach was capable of estimating realistic NO2 concentration maps that inherited spatial patterns of the pollutant from the model estimations and adjusted the modelled values using the measured concentrations. Maps produced by the fusion of NO2-LCS with NO2-LUR produced better results, with r-value 0.96 and RMSE 9.09. Data fusion adds value to both measured and estimated concentrations: the measured data are improved by predicting spatiotemporal gaps, whereas the modelled data are improved by constraining them with observed data. Hotspots of NO2 were shown in the city centre, eastern parts of the city towards the motorway (M1) and on some major roads. Air quality standards were exceeded at several locations in Sheffield, where annual mean NO2 levels were higher than 40 µg/m3. Road traffic was considered to be the dominant emission source of NO2 in Sheffield.


2009 ◽  
Vol 2 (4) ◽  
pp. 327-342 ◽  
Author(s):  
P. Zeilhofer ◽  
P.S. Arraes Neto ◽  
W.Y. Maja ◽  
D.A. Vecchiato

GCB Bioenergy ◽  
2016 ◽  
Vol 9 (3) ◽  
pp. 627-644 ◽  
Author(s):  
Mark Richards ◽  
Mark Pogson ◽  
Marta Dondini ◽  
Edward O. Jones ◽  
Astley Hastings ◽  
...  

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