矿体信息的八叉树存储和检索技术

近几年来，在计算机绘图、计算机视觉和数字图象处理等方面三维目标的八叉树表示成为热门论题。本文介绍一种八叉树编码，并将它应用于矿体信息的存储和检索，取得了明显的效果。针对八叉树的构成较费机时的问题，我们提出了一种从三维栅格变换成八叉树的算法，并在VAX3100型工作站上试验。结果表明，所提出的算法其时间复杂度与栅格数大体呈线性关系，用八叉树存储矿体信息占用的存储空间一般仅为栅格表示的10－30％。     

Participatory action research in a poststructuralist vein

This paper introduces a participatory action research process that has been shaped by poststructuralist thought. We report on the stages and outcomes of a project conducted in the Latrobe Valley, Victoria, Australia, a resource region that has experienced downsizing and privatising of its major employer, the state-owned power industry. Through a participatory action research process involving community members, local Council and academic researchers the singular economic identity of the region was challenged and a more enabling representation developed. Drawing on a discourse of the diverse economy and the asset-based approach to community development the project shed light on the wide range of economic activities residents were already engaged in and the multitude of abilities and ideas they possessed. This exercise produced a new representation of the economy of the Latrobe Valley that helped to shift the vision of what was possible in the region. In the final stage of the project this alternative vision was acted on as groups turned shared ideas into projects and those who were most used to being defined as economically dependent and victims of economic circumstances increasingly came to identify as active and contributing economic subjects in the diverse economy. The paper considers the role of subjectivity, representation and micropolitics in participatory action research and concludes with a reflection on the project’s strengths and weaknesses.     

The representation of geoscience information for data integration

In mineral exploration, resource assessment, or natural hazard assessment, many layers of geoscience maps such as lithology, structure, geophysics, geochemistry, hydrology, slope stability, mineral deposits, and preprocessed remotely sensed data can be used as evidence to delineate potential areas for further investigation. Today's PC-based data base management systems, statistical packages, spreadsheets, image processing systems, and geographical information systems provide almost unlimited capabilities of manipulating data. Generally such manipulations make a strategic separation of spatial and nonspatial attributes, which are conveniently linked in relational data bases. The first step in integration procedures usually consists of studying the individual charateristics of map features and interrelationships, and then representing them in numerical form (statistics) for finding the areas of high potential (or impact).Data representation is a transformation of our experience of the real world into a computational domain. As such, it must comply with models and rules to provide us with useful information. Quantitative representation of spatially distributed map patterns or phenomena plays a pivotal role in integration because it also determines the types of combination rules applied to them.Three representation methods—probability measures, Dempster-Shafer belief functions, and membership functions in fuzzy sets—and their corresponding estimation procedures are presented here with analyses of the implications and of the assumptions that are required in each approach to thematic mapping. Difficulties associated with the construction of probability measures, belief functions, and membership functions are also discussed; alternative procedures to overcome these difficulties are proposed. These proposed techniques are illustrated by using a simple, artificially constructed data set.     

Piezomagnetic fields produced by dislocation sources

Tectonomagnetic modeling based on the linear piezomagnetic effect is reviewed with special attention to dislocation models. Stacey's scheme was the prototype for such modeling, as proposed in his first seismomagnetic calculations in 1964. The linear piezomagnetic law is presented, in which the stress-induced magnetization is expressed as a linear combination of stress components. The Gauss law for magnetic field and the Cauchy-Navier equation for static elastic equilibrium are combined through linear piezomagnetism and the Hooke law to yield the basic equation for piezomagnetic potential. A representation theorem for its solution is given by surface integrals of the displacement and its normal derivative over the strained body.A Green's function method is developed to compute the piezomagnetic field produced by a dislocation surface in an elastic half-space. Volterra's formula for piezomagnetic potential is derived by modifying Stacey's scheme for tectonomagnetic modeling. The Green's functions for the problem are called elementary piezomagnetic potentials, which are defined as potentials produced by elementary dislocations. Special consideration is required to construct the elementary piezomagnetic potentials, because the stress field around a point dislocation has a singularity of orderr ^–3. The integral representing elementary piezomagnetic potentials is not uniformly convergent. Owing to inappropriate convergency, the Green's functions obtained in an earlier study led to a puzzling outcome. Revised Green's functions give consistent results with those obtained so far by numerical integrations. Generally the piezomagnetic field produced by dislocation sources is weak in the case of a homogeneous earth model. Two enhancement effects for piezomagnetic signals are suggested: one due to inhomogeneous magnetization and the other via bore-hole observations.     

A Numerical Study on Effects of Land-Surface Heterogeneity from “Combined Approach” on Atmospheric Process Part I: Principle and Method

1.IntroductionAnideallandsurfacemodelmustbothrealisticallydescribethelandsurfacecharacteristics(especiallytheuniversalheterogeneity)andbecomputationallyinexpensive.CurrentlyPOpularlandsurfacemodelsareallbasedon"bigfeartheory,inwhichamodelgridcellisdividedintomanypatches(e.g.,abaresoilpatchoravegetationpatch;manyregularpatchesdividedintoaccordingtogeographicallocations),andinwhichonlyinterpatchvariabilityistakenintoaccountwhileseldomintrapatchvariabilityis,whentheheterogeneityisconsidered.Even…     

Providing spatial statistical data analysis functionality for the GIS user: the SAGE project

Geographic representation has become more complex through time as researchers have added new concepts, leading to apparently endless proliferation and creating a need for simplification. We show that many of these concepts can be derived from a single foundation that we term the atomic form of geographic information. The familiar concepts of continuous fields and discrete objects can be derived under suitable rules applied to the properties and values of the atomic form. Fields and objects are further integrated through the concept of phase space, and in the form of field objects. A second atomic concept is introduced, termed the geo‐dipole, and shown to provide a foundation for object fields, metamaps, and the association classes of object‐oriented data modelling. Geographic dynamics are synthesized in a three‐dimensional space defined by static or dynamic object shape, the possibility of movement, and the possibility of dynamic internal structure. The atomic form also provides a tentative argument that discrete objects and continuous fields are the only possible bases for geographic representation.     

Automated parameterisation for multi-scale image segmentation on multiple layers

We introduce a new automated approach to parameterising multi-scale image segmentation of multiple layers, and we implemented it as a generic tool for the eCognition® software. This approach relies on the potential of the local variance (LV) to detect scale transitions in geospatial data. The tool detects the number of layers added to a project and segments them iteratively with a multiresolution segmentation algorithm in a bottom-up approach, where the scale factor in the segmentation, namely, the scale parameter (SP), increases with a constant increment. The average LV value of the objects in all of the layers is computed and serves as a condition for stopping the iterations: when a scale level records an LV value that is equal to or lower than the previous value, the iteration ends, and the objects segmented in the previous level are retained. Three orders of magnitude of SP lags produce a corresponding number of scale levels. Tests on very high resolution imagery provided satisfactory results for generic applicability. The tool has a significant potential for enabling objectivity and automation of GEOBIA analysis.     

Saving the Other: Exploring the social in social enterprise

Social enterprise is increasingly viewed by governments worldwide as a promising means of promoting development. In South Africa, too, this sector is identified as a strategic growth area. Although there is no final consensus on the definition of social enterprise, certain characteristics are generally agreed. These include the idea that social enterprise prioritises social needs over profit maximisation, and involves marginalised people within viable businesses that have socially beneficial outcomes. Academic research on social enterprise has largely come from business studies, focusing on the internal functioning of social enterprise organisations, the figure of the social entrepreneur, the relationship between the social enterprise sector and the state, and on what the sector needs to flourish commercially. Social issues, especially analyses of power within the sector, have been relatively neglected. This paper addresses that gap, drawing on a wider development studies literature on the social economy to inform an examination of power relationships in the craft industry in South Africa, where narratives of social enterprise are pervasive. I argue that although empowerment is an explicit aim of many craft organisations, the most prominent discourses within the industry often rely on and perpetuate objectifying constructions of producers. These manifest particularly through notions of ’saving’, shaping a moral economy that entrenches difference along lines of black–white, north–south, and healthy-diseased. Such discourses run counter to the aims of empowerment that are central to the ethos of social enterprise, and should challenge both policymakers and academics to think carefully about how power works within the sector.