Metro Maps on Flexible Base Grids

2021 ◽  
Author(s):  
Hannah Bast ◽  
Patrick Brosi ◽  
Sabine Storandt
Keyword(s):  
2003 ◽  
Vol 46 (3) ◽  
pp. 798-806 ◽  
Author(s):  
Lynnane E. GEORGE ◽  
Wayne J. BOOK

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Peter B. Lloyd

Many people have noted a suggestive parallel between the abstract paintings of Piet Mondrian and the design of metro maps such as Henry Beck’s map of the London Underground. Is this just a superficial similarity or is there some more substantive point of connection? This article speculates that the ‘dynamic equilibrium’, which gave Mondrian’s mature pictures their inimitable psychological force, could also be at work in the most iconic metro maps, such as those of Henry Beck and George Salomon. If so, then the automatic generation of metro maps to an acceptable quality may entail the daunting task of operationalising this dynamic balance and encoding it in computer software. 


2021 ◽  
Vol 6 (4) ◽  
pp. 7413-7420
Author(s):  
Marc-Andre Begin ◽  
Ryan Poon ◽  
Ian Hunter
Keyword(s):  

Author(s):  
Walter Coelho Pereira de Magalhães Junior ◽  
Marcelo Bonnet ◽  
Leandro Diamantino Feijó ◽  
Marilde Terezinha Prado Santos

Here the Risk-Off Method is presented as a contribution to improve the quality of data and information using milk chemical safety as a model, as overseen by the National Plan for Control of Residues and Contaminants (PNCRC) of the Brazilian Ministry of Agriculture, Livestock and Supply (MAPA). In particular, Small and Medium Enterprises (SMEs), which notably lack internal expertise, could benefit from the Risk-Off method, given that SMEs worldwide contribute significant amounts of food to meet global needs. This study develops an innovative tool to help countries provide robust and transparent chemical safety guarantees for their food products. Creating a flexible base platform to appropriately pre-classify results generated by laboratory testing of food samples, the method pre-processes data undergoing the process of Knowledge Discovery in Databases – KDD, producing systemic intelligence deriving from effective, proactive assessment and management of chemical safety risks in foods, a complex issue of increasingly global concern.


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