Fiat and Bona Fide Boundaries

Smith, Barry; Varzi, Achille C.

doi:10.2307/2653492

Cited by 270 publications

(146 citation statements)

References 16 publications

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“…Landforms are generally classical examples of fiat objects -that is to say they are defined by human perception and do not have a physically unambiguous expression on the earth's surface because they are vague [33]. Thus, regarding our case study, the area which is unambiguously Gürbe valley cannot, by definition, be defined.…”

Section: Determining Region Boundariesmentioning

confidence: 91%

Delineation of Valleys and Valley Floors

Straumann

Purves

2008

Geographic Information Science

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Methods to automatically derive landforms have typically focused on pixel-based, bottom-up approaches and most commonly on the derivation of topographic eminences. In this paper we describe an object-based, top-down algorithm to identify valley floors. The algorithm is based on a region growing approach, seeded by thalwegs with pixels added to the region according to a threshold gradient value. Since such landforms are fiat we compare the results of our algorithm for a particular valley with a numberof textual sources describing that valley. In a further comparison, we computed a pixel-based six-fold morphometric classification for regions we classified as either being, or not being, valley floor. The regions classified as valley floor are dominated by pla nar slopes and channels,though the algorithm is robust enough to allow local convexities to be classified as within the valley floor. Future work will explore the delineation of valley sides, and thus complete valleys. Abstract. Methods to automatically derive landforms have typically focused on pixel-based, bottom-up approaches and most commonly on the derivation of topographic eminences. In this paper we describe an object-based, top-down algorithm to identify valley floors. The algorithm is based on a region growing approach, seeded by thalwegs with pixels added to the region according to a threshold gradient value. Since such landforms are fiat we compare the results of our algorithm for a particular valley with a number of textual sources describing that valley. In a further comparison, we computed a pixel-based sixfold morphometric classification for regions we classified as either being, or not being, valley floor. The regions classified as valley floor are dominated by planar slopes and channels, though the algorithm is robust enough to allow local convexities to be classified as within the valley floor. Future work will explore the delineation of valley sides, and thus complete valleys. Delineation of Valleys and Valley Floors

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Section: Determining Region Boundariesmentioning

confidence: 91%

Delineation of Valleys and Valley Floors

Straumann

Purves

2008

Geographic Information Science

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“…The swarming-body model constitutes a closed system (Maturana and Varela 1980) and articulates the spatial salience of biotic being. The concepts of difference (Bateson 1972), boundaries (Smith 1997;Smith and Varzi 2000), and agency (Hoffmeyer 2008) are emphasised as intrinsic to the problem of configuring space. A biosemiotic notion of space is presented, uniting the three major themes of this thesis (architecture, computing and biology) to establish an approach to the problem of spatial configuration which does not flatten the complexity of spatial problems but rather embraces it.…”

Section: Resultsmentioning

confidence: 99%

“…Secondly, from the actant's perspective these physical limits don't exist; only semione and the distinction thereof are present. Smith and Varzi (2000) differentiate two types of boundary. Bona-fide boundaries are literal and relate to concrete physical objects, while fiat boundaries (such as between one country and another, or an arm and a hand) are a construct of perception.…”

Section: Boundary Conditionsmentioning

confidence: 99%

The Spatiality of Being

Ireland

2015

Biosemiotics

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Space is a product of semiosis. It is a condition pertinent to an organism's semiotic freedom, which is articulated by the organism as a consequence of its capacity to manipulate the world in the course of its unfolding interaction with its environment. Spatial configuration is thus the result of agency inherent in the organism-in-itsenvironment. Space, a consequence of social cohesion, is effected through constraints and processes of enaction which are semiotic. These processes are productive and offer architects a novel means by which to configure space, which they should embrace to articulate the nature of inhabitation. The model presented identifies activity as the essential building block to the generation of form. Modelled as a form of artificial life, swarm-like components, referred to as 'actants', represent discrete activities and selfconfigure according to differences in the environment they detect, to form a body-ofswarms. Thus, depicting the spatiality of being.

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“…Examples include the national borders or the delimitation of postal and electoral districts. For fiat boundaries, a registry provides the exact location and extension, and surveyors are required to indicate its extension in the real world (Smith and Varzi, 2000). There are different types of fiat boundaries, for instance those drawn by epidemiologists to define restriction areas in case of an outbreak and those based on mathematical definitions, e.g.…”

Section: Feature Collection Worldmentioning

confidence: 99%

A conceptual holding model for veterinary applications

Ferrè

Kuhn

Rumor³

et al. 2014

Geospat Health

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Abstract. Spatial references are required when geographical information systems (GIS) are used for the collection, storage and management of data. In the veterinary domain, the spatial component of a holding (of animals) is usually defined by coordinates, and no other relevant information needs to be interpreted or used for manipulation of the data in the GIS environment provided. Users trying to integrate or reuse spatial data organised in such a way, frequently face the problem of data incompatibility and inconsistency. The root of the problem lies in differences with respect to syntax as well as variations in the semantic, spatial and temporal representations of the geographic features. To overcome these problems and to facilitate the inter-operability of different GIS, spatial data must be defined according to a "schema" that includes the definition, acquisition, analysis, access, presentation and transfer of such data between different users and systems. We propose an application "schema" of holdings for GIS applications in the veterinary domain according to the European directive framework (directive 2007/2/EC -INSPIRE). The conceptual model put forward has been developed at two specific levels to produce the essential and the abstract model, respectively. The former establishes the conceptual linkage of the system design to the real world, while the latter describes how the system or software works. The result is an application "schema" that formalises and unifies the information-theoretic foundations of how to spatially represent a holding in order to ensure straightforward information-sharing within the veterinary community.

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Fiat and Bona Fide Boundaries

Cited by 270 publications

References 16 publications

Delineation of Valleys and Valley Floors

Delineation of Valleys and Valley Floors

The Spatiality of Being

A conceptual holding model for veterinary applications

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