Statistical counterpoint: Knowledge discovery of choreographic information using spatio-temporal analysis and visualization

Ahlqvist, Ola; Ban, Hyowon; Cressie, Noel; Shaw, Norah Zuňiga

doi:10.1016/j.apgeog.2010.03.006

Cited by 15 publications

(7 citation statements)

References 38 publications

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“…However, they may still be valuable when converted into spatially relevant information. This is even more useful when the data contain location names implying a problem domain that is inherently geographic in nature and the data records are of sufficient number for appropriate quantitative or statistical analysis (Ahlqvist, Ban, Cressie, & Shaw, 2010;Tao & Jiaqiu, 2008;Whyte, 2011;Zhang, Wong, So, & Lin, 2011). Manual or computer aided processes are required to transform available data into suitable formats for GIS.…”

Section: Introductionmentioning

confidence: 99%

Stray cats in Auckland, New Zealand: Discovering geographic information for exploratory spatial analysis

Aguilar

Farnworth

2012

Applied Geography

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Stray cats are a common feature of urban landscapes and are associated with issues of animal welfare and negative environmental impacts. Management, planning and decision-making require readily accessible information on stray cats. However, much of the existing data is not immediately useful for a geographic information system (GIS) in terms of format, content and explicit location information. Spreadsheets we obtained from a single large shelter in the Auckland region. They contained records of stray cat pickups and admissions for an entire year (n = 8573) of which 56.4% (n = 4834) contained data that could be processed to derive relevant spatial information. The resulting data consisted of identified roads and areas of Auckland where the stray cats were found. Published census databases and shapefiles were matched with the data to build a GIS of stray cats. Global and local regression analysis was employed to discover spatial distribution characteristics including the identification of areas with relatively high and low concentrations of stray cats and to explore relationships between socioeconomic condition and stray cat density. Significant clustering is more evident in South Auckland than elsewhere in the region. Specific geographical information is valuable, not only for understanding population dynamics of stray cats, but also to allow spatial and temporal targeting of resources to minimise their impact and promote responsible ownership.

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Section: Introductionmentioning

confidence: 99%

Stray cats in Auckland, New Zealand: Discovering geographic information for exploratory spatial analysis

Aguilar

Farnworth

2012

Applied Geography

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“…In the last few years the representation and analysis of large volumes of trajectory information of objects moving through geographical space has become a major topic of interest in research domains such as geographical information science (Ahlqvist et al, 2010;Shaw, Yu, & Bombom, 2008), computer science (Bogorny, Kuijpers, & Alvares, 2009;Orlando et al, 2007), visual analytics (Andrienko & Andrienko, 2007) and urbanism (Van Schaick & Van der Spek, 2008). This burgeoning academic interest has emerged as a result of the increased feasibility and affordability of collecting detailed data about spatiotemporal phenomena triggered by the widespread adoption of location-aware technologies.…”

Section: Introductionmentioning

confidence: 99%

The use of Bluetooth for analysing spatiotemporal dynamics of human movement at mass events: A case study of the Ghent Festivities

et al. 2012

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In this paper, proximity-based Bluetooth tracking is postulated as an efficient and effective methodology for analysing the complex spatiotemporal dynamics of visitor movements at mass events. A case study of the Ghent Festivities event (1.5 million visitors over 10 days) is described in detail and preliminary results are shown to give an indication of the added value of the methodology for stakeholders of the event. By covering 22 locations in the study area with Bluetooth scanners, we were able to extract 152,487 trajectories generated by 80,828 detected visitors. Apart from generating clear statistics such as visitor counts, the share of returning visitors, and visitor flow maps, the analyses also reveal the complex nature of this event by hinting at the existence of several mutually different visitor profiles. We conclude by arguing why Bluetooth tracking offers significant advantages for tracking mass event visitors with respect to other and more prominent technologies, and outline some of its remaining deficiencies. KeywordsBluetooth, tracking, mass event, geographical information technology, geographical information systems IntroductionIn the last few years the representation and analysis of large volumes of trajectory information of objects moving through geographical space has become a major topic of interest in research domains such as geographical information science (Ahlqvist et al., 2010;Shaw, Yu, & Bombom, 2008), computer science (Bogorny, Kuijpers, & Alvares, 2009;Orlando et al., 2007), visual analytics (Andrienko & Andrienko, 2007 and urbanism (Van Schaick & Van der Spek, 2008). This burgeoning academic interest has emerged as a result of the increased feasibility and affordability of collecting detailed data about spatiotemporal phenomena triggered by the widespread adoption of location-aware technologies. Past studies have focused on the movements of various kinds of objects including vehicles (Quiroga & Bullock, 1998), animals (Laube et al., 2007, bank notes (Brockmann, Hufnagel, & Geisel, 2006) and typhoons (Terry & Feng, 2010), but the majority of research has been devoted to human movement in different contexts and at various scales. Some examples are the movement of athletes on a pitch (Laube, Imfeld, & Weibel, 2005), tourists on a regional (Ahas et al., 2008) and local scale (Kemperman, Borgers, & Timmermans, 2009; O'Connor, Zerger, & Itami, 2005;Shoval & Isaacson, 2007a), and customers in a supermarket (Hui, Fader, & Bradlow, 2009). In these contexts, advanced tracking technologies complement more traditional qualitative methods, such as shadowing (Quinlan, 2008) and collecting travel diaries (Axhausen et al., 2002).Within research on human behaviour, particular attention has been devoted to the collective behaviour of crowds at mass events such as street parades, festivals, public assemblies, sporting events, and exhibitions (Batty, Desyllas, & Duxbury, 2003;Helbing, Johansson, & Al-Abideen, 2007;Zeitz et al., 2009). Tragic events such as the recent stampede during the 2010 edi...

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“…Thus, kairos time, rather than chronos time, is a better framework for understanding dance from a temporal perspective. Ahlqvist et al (2010) recently developed a methodology to visualize and map dance movements. Using actor-network theory (ANT), which conceptualizes time and space as essentially kairos-topos, Schwanen (2007) presented one of the few studies on the movement of matter from a perspective of time geography IV.…”

Section: Time Geography IV -The Kairos-topos (K-t) Approachmentioning

confidence: 99%

Looking through Hägerstrand’s dual vistas: towards a unifying framework for time geography

Sui

2012

Journal of Transport Geography

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Statistical counterpoint: Knowledge discovery of choreographic information using spatio-temporal analysis and visualization

Cited by 15 publications

References 38 publications

Stray cats in Auckland, New Zealand: Discovering geographic information for exploratory spatial analysis

Stray cats in Auckland, New Zealand: Discovering geographic information for exploratory spatial analysis

The use of Bluetooth for analysing spatiotemporal dynamics of human movement at mass events: A case study of the Ghent Festivities

Looking through Hägerstrand’s dual vistas: towards a unifying framework for time geography

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