Reviews: Review Essay: Interactive Spatial Data Analysis, Environmental Security and Quality after Communism, Law, Space and the Geographies of Power, Ground Truth: The Social Implications of Geographic Information Systems, Science, Technology and the Environment: Multidisciplinary Perspectives, Pollution in the UK, Urban Development in Saudi Arabia: Challenges and Opportunities, Views from the Road: A Community Guide for Assessing Rural Historic Landscapes, the Third World in Global Environmental Politics

1997 ◽  
Vol 29 (4) ◽  
pp. 747-760
Author(s):  
D A Griffith ◽  
P R Pryde ◽  
N R Fyfe ◽  
S Warren ◽  
É Darier ◽  
...  
Keyword(s):  
Spatial Data ◽  
Ground Truth ◽  
Spatial Data Analysis ◽  
Systems Science ◽  
The Road ◽  
Global Environmental ◽  
The Social ◽  
Challenges And Opportunities ◽  
The Uk ◽  
The Third World

Not Enough Money: The Resources and Choices of the Motoring Poor

2002 ◽  
Vol 6 (1) ◽  
pp. 95-111 ◽  
Author(s):  
Julie Froud ◽  
Sukhdev Johal ◽  
Adam Leaver ◽  
Karel Williams
Keyword(s):  
Public Transport ◽  
Car Ownership ◽  
Social Aspect ◽  
Policy Makers ◽  
The Road ◽  
Poor Households ◽  
Labour Market Participation ◽  
The Social ◽  
On The Road ◽  
The Uk

This paper helps to develop the social aspect of a new agenda for automobile research through focusing on motoring expenditure in the UK by poor households. It moves the social exclusion debate on by going back to Rowntree's 1901 survey, which established that poverty entailed not having enough resources to meet the needs of the household. Rowntree's analysis of primary and secondary poverty is updated here through the focus on the resources and choices of poor households, which incur significant motoring costs as the price of participation. Statistical sources and interviews in Inner and Outer London are used to explore these issues and the analysis shows that the story is one of constraint, sacrifice and precariousness. Car ownership imposes large costs on poor households, which limit other consumption opportunities. Labour market participation may depend on such sacrifices where public transport and local employment opportunities are limited. This locks poor households into a precarious cycle whereby the car is necessary to get to work and the job is necessary to keep the car on the road. Using Rowntree by analogy, the paper argues that, as well as improving public transport provision policy makers must also recognise the problem of poverty.

scholarly journals A Grid-Based Approach for Measuring Similarities of Taxi Trajectories

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3118
Author(s):  
Wei Jiao ◽  
Hongchao Fan ◽  
Terje Midtbø
Keyword(s):  
Spatial Data ◽  
Behavior Pattern ◽  
Spatial Data Mining ◽  
Spatial Data Analysis ◽  
Exact Matching ◽  
The Road ◽  
Data Volume ◽  
Grid Codes ◽  
Position Prediction ◽  
Pass Through

Similarity measurement is one of the key tasks in spatial data analysis. It has a great impact on applications i.e., position prediction, mining and analysis of social behavior pattern. Existing methods mainly focus on the exact matching of polylines which result in the trajectories. However, for the applications like travel/drive behavior analysis, even for objects passing by the same route the trajectories are not the same due to the accuracy of positioning and the fact that objects may move on different lanes of the road. Further, in most cases of spatial data mining, locations and sometimes sequences of locations on trajectories are most important, while how objects move from location to location (the exact geometries of trajectories) is of less interest. For the abovementioned situations, the existing approaches cannot work anymore. In this paper, we propose a grid aware approach to convert trajectories into sequences of codes, so that shape details of trajectories are neglected while emphasizing locations where trajectories pass through. Experiments with Shanghai Float Car Data (FCD) show that the proposed method can calculate trajectories with high similarity if these pass through the same locations. In addition, the proposed methods are very efficient since the data volume is considerably reduced when trajectories are converted into grid-codes.

Spatial Data Analysis in the Social and Environmental Sciences

Technometrics ◽  
1992 ◽  
Vol 34 (4) ◽  
pp. 499 ◽  
Author(s):  
Carol A. Gotway ◽  
Robert Haining
Keyword(s):  
Data Analysis ◽  
Spatial Data ◽  
Spatial Data Analysis ◽  
Environmental Sciences ◽  
The Social

scholarly journals Tomorrow’s Health Data Scientists in the Making: 2 Years of Training & Capacity Building Activities with the Farr Institute

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Athanasios Anastasiou ◽  
Georgina Moulton ◽  
Colin McCowan ◽  
Paul Taylor ◽  
Catharine Goddard
Keyword(s):  
Capacity Building ◽  
Community Of Practice ◽  
Spatial Data ◽  
Oral Communication ◽  
Education Programme ◽  
Early Career ◽  
Spatial Data Analysis ◽  
World Health ◽  
Building Activities ◽  
The Uk

ABSTRACT ObjectivesThe poster will showcase the Training & Capacity Building Programme (TCBP) established by the Farr network that is available to PhD students and Early Career Researchers (ECRs) both from within and outside the network. ApproachThe authors are using a mixed-methods approach to present the current state of the art that has motivated the structure of the TCBP and how the programme has been received by students, academic and industry leaders. Since 2014, the Farr network education leads have worked on a unique education programme that aims to equip students with key professional and methodological skills required by the roles they are likely to take in their future careers. The content of the programme has been informed by current research in the fields of data linkage and analysis of big datasets as well as the immediate experience of researchers, and healthcare and industry leads working actively in the field. We have focussed on developing a community of practice through the provision of an environment that has enabled students to share experiences and knowledge and to start building their own networks of collaboration across the Farr centres. ResultsThe Farr network of PhD students comprises of approximately 66 students from a variety of backgrounds including bioinformatics, computer science, epidemiology, mathematics, psychology and statistics. The Farr network hosted 2 main events in 2015 that provided the foundation for 34 PhD students to come together to develop skills in written and oral communication, Public and Patient Involvement (PPI), problem-solving, requirements gathering, data visualisation and spatial data analysis. Formal feedback collected from each event suggests that the programme is received well by students who see it as a set of activities that complement their specialised PhD related education. Feedback from supervisors and future employers also suggests that this programme has facilitated the development of skills that are useful for their PhD and employment. ConclusionThe Farr network has laid the foundation for the community of practice around the analysis of real-world health datasets across the UK, and will continue to cultivate this through the enrichment of the programme.

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