Bibliographic record
Abstract
Abstract Geovisualization refers to the visual exploration, analysis, synthesis and presentation of geospatial This paper presents findings from research that has focused on developing and applying geovisualization techniques and technologies for use within retail location decision support. Retailers represent a major user group of Geographic Information System-based (GIS) decision support technologies, with applications ranging from trade area mapping to store portfolio planning. However, the ability to handle spatial-temporal data, visualize change, and explore the temporal dimension of spatial data is limited within conventional GIS. The paper details the development of a prototype geovisualization system that has been designed to enable visualization of spatial-temporal change of retail-related From this explicitly visual paradigm, a number of examples of potential analysis are examined at four different scales of analysis: national, regional, market and micro-level. The paper highlights both the challenges and potential to enhance retail decision support by integrating geovisualization techniques and technology within decision support activities. Resumes La se refere a l'exploration, l'analyse, la synthese et la presentation visuelles de donnees geo-spatiales. Cet article presente les resultats de recherches qui ont mis l'emphase sur le developpement et l'application de techniques de pour une utilisation au sein d'aide a la decision de localisation de commerces au detail. Les detaillants representent un groupe d'utilisateurs majeurs de technologies d'aide a la decision basees sur les systemes d'information geographique, avec des applications allant de la cartographie d'aires d'echange a la planification de portefeuilles de boutiques. Cependant, l'habilite a maitriser des donnees spatio-temporelles, visualiser le changement et explorer la dimension temporelle de donnees spatiales est limitee au sein de SIG conventionnels. L'article decrit le developpement d'un systeme prototype de qui a ete dessine afin de permettre la visualisation du changement spatio-temporel de donnees reliees au commerce de detail. De ce paradigme explicitement visuel, un nombre d'exemples d'analyses potentielles sont examines a quatre differentes echelles : nationale, regionale, echelle de marche et micro echelle. L'article souligne autant les defis et le potentiel d'augmentation du support decisionnel du commerce de detail en integrant des techniques et la technologie de au sein d'activites d'aide a la decision. Introduction Geovisualization research has gained considerable momentum over recent years within the fields of GIS, cartography and spatial statistics. The aim of is to turn large heterogeneous data into information (interpreted data) and subsequently, into knowledge (understanding derived from information). As MacEachren and Kraak (2001: 3) define, geovisualisation integrates approaches from visualization in scientific computing, cartography, image analysis, information visualization, exploratory data analysis and geographic information systems to provide theory, methods and tools for visual exploration, analysis, synthesis and presentation of geospatial data. Figure 1 provides a conceptual framework for geovisualization system use, defined along three axes: (i) the nature of the tasks performed--from knowledge construction to the sharing and dissemination of information; (ii) the type of users--ranging from domain experts to the general public; and, (iii) the level of interaction with the data--referring to the extent to which the user will have control over the system and the underlying geospatial data (i.e., open source versus black-box). The four primary functions of geovisualization can be placed along the central diagonal of the geovisualization use space: explore, analyze, synthesis and present (MacEachren et al 2003; MacEachren 1994). …
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".