Life and Motion of Socio-Economic Units

Frank, Andrew U.; Raper, Jonathan; Cheylan, Jean-Paul

doi:10.4324/9780203305706

Cited by 45 publications

(25 citation statements)

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“…Smith [7] defines an ecological niche as a containment space bounded by spatial and/or temporal parameters favouring specific groups of members. That entities interact with each other according to the ecosystem or environment in which they exist is also recognised by [9] who refers to niches as socioeconomic units, and physical behavioural units. While these researchers advocate that niches are used in studying ecological phenomena, they offer no suggestions for incorporating this into conceptual models, nor do they propose any method for using them in the design process.…”

Section: Related Workmentioning

confidence: 99%

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A Conceptual Modeling Methodology Based on Niches and Granularity

Berman¹,

Semwayo²

2007

Conceptual Modeling - ER 2007

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Abstract. This paper presents a methodology for conceptual modeling which is based on a new modeling primitive, the niche, and associated constructs granularity and reconciliation. A niche is an environment where entities interact for a specific purpose, playing specific roles, and according to the norms and constraints of that environment. Granularity refers to the relative level of power or influence of an entity within a niche. Reconciliation is a relationship from N entities onto one reconciled entity, and represents explicitly a situation where two or more different perspectives of the same entity have been reconciled, by negotiation, into a single consensus view. The methodology we propose provides a systematic method of designing conceptual models along with a process for normalising inappropriate relationships. Normalising is a prescriptive process for identifying and remedying inconsistencies within a model based on granularities. Drawing on a number of case studies, we show how niches and granularity make complexity easier to manage, highlight inaccuracies in a model, identify opportunities for achieving project goals, and reduce semantic heterogeneity.

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Section: Related Workmentioning

confidence: 99%

“…The suggestion that the functional niche be used as a fundamental unit of investigating ecological systems appears in [8,9]. Smith [7] defines an ecological niche as a containment space bounded by spatial and/or temporal parameters favouring specific groups of members.…”

Section: Related Workmentioning

confidence: 99%

A Conceptual Modeling Methodology Based on Niches and Granularity

Berman¹,

Semwayo²

2007

Conceptual Modeling - ER 2007

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“…Research has focused on the representation of time, which turns out to be far more complex than the simple addition of a third (or fourth) dimension to the two (or three) of spatial representations. Peuquet (2002) provides an analysis of the philosophical and conceptual underpinnings of the problem, and Langran (1992) presents a more practical perspective, while Frank, Raper, and Cheylan (2001) address the issues of reporting zone boundaries that shift through time. Other research has focused on the representation of objects whose boundaries are uncertain (Burrough and Frank, 1996), a common issue in environmental data though perhaps less so in social data.…”

Section: Representations and Data Sourcesmentioning

confidence: 99%

GIS and spatial data analysis: Converging perspectives

Goodchild

Haining

2004

Fifty Years of Regional Science

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“…Due to the increasing availability of spatial-temporal databases, many different methodologies have been explored in the search for meaningful information hidden in this kind of data. Understanding of how diverse entities move in a spatial context has demonstrated their usefulness in topics as diverse as sports (Iwase and Saito 2002), socio-economic geography (Frank et al 2001), animal migration (Dettki et al 2004) and security and surveillance (Makris andEllis 2002, Piciarelli et al 2006).…”

Section: Introductionmentioning

confidence: 99%

Visual mining of moving flock patterns in large spatio-temporal data sets using a frequent pattern approach

Turdukulov¹,

Romero²,

Huisman³

et al. 2014

International Journal of Geographical Information Science

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The popularity of tracking devices continues to contribute to increasing volumes of spatio-temporal data about moving objects. Current approaches in analysing these data are unable to capture collective behaviour and correlations among moving objects. An example of these types of patterns is moving flocks. This article develops an improved algorithm for mining such patterns following a frequent pattern discovery approach, a well-known task in traditional data mining. It uses transaction-based data representation of trajectories to generate a database that facilitates the application of scalable and efficient frequent pattern mining algorithms. Results were compared with an existing method (Basic Flock Evaluation or BFE) and are demonstrated for both synthetic and real data sets with a large number of trajectories. The results illustrate a significant performance increase. Furthermore, the improved algorithm has been embedded into a visual environment that allows manipulation of input parameters and interactive recomputation of the resulting flocks. To illustrate the visual environment a data set containing 30 years of tropical cyclone tracks with 6 hourly observations is used. The example illustrates how the visual environment facilitates exploration and verification of flocks by changing the input parameters and instantly showing the spatio-temporal distribution of the resulting flocks in the Space-Time Cube and interactively selecting, querying and saving the resulting flocks for further analysis and verification.

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Life and Motion of Socio-Economic Units

Cited by 45 publications

References 0 publications

A Conceptual Modeling Methodology Based on Niches and Granularity

A Conceptual Modeling Methodology Based on Niches and Granularity

GIS and spatial data analysis: Converging perspectives

Visual mining of moving flock patterns in large spatio-temporal data sets using a frequent pattern approach

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