Nouveau support de visualisation spatio-temporelle pour faciliter l'exploration et le partage de données environnementales : SFMN GeoSearch : un outil pour la recherche en foresterie au Canada

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal

Exploration and reflection in interactive art : glass pond

Glass Pond is an interactive artwork designed to engender exploration and reflection through an intuitive, tangible interface and a simulation agent. It is being developed using iterative methods. A study has been conducted with the aim of illuminating user experience, interface, design, and performance issues.The paper describes the study methodology and process of data analysis including coding schemes for cognitive states and movements. Analysis reveals that exploration and reflection occurred as well as composing behaviours (unexpected). Results also show that participants interacted to varying degrees. Design discussion includes the artwork's (novel) interface and configuration.

Premisas geográficas del desarrollo y ordenamiento ambiental

El significado contingente de un orden territorial ambientalmente sustentable es analizado desde la particular mirada de la geografía. La ordenación del territorio alude a la representación del resultado de las interacciones hombre-medio geográfico que implica, históricamente, diferentes configuraciones espaciales, de manera tal que cada cultura crea su ambiente. Distintas estrategias de desarrollo socioeconómico conducen a modelos diferentes de organización del espacio en el territorio; en similar sentido, toda estructura territorial dada impone condicionantes a las relaciones económicas y sociales que sobre ella puedan establecerse, según procesos de distinto orden: ecológicos, productivos y culturales. De allí la dificultad de la ordenación planificada del territorio, por parte de la gestión pública, que justifica la exploración geográfica de su significado. Se analizan para el caso de Argentina los "condicionantes" ambientales, desde el eje jurídico-normativo, vinculados al desarrollo territorial y uso del suelo.

Premisas geográficas del desarrollo y ordenamiento ambiental

El significado contingente de un orden territorial ambientalmente sustentable es analizado desde la particular mirada de la geografía. La ordenación del territorio alude a la representación del resultado de las interacciones hombre-medio geográfico que implica, históricamente, diferentes configuraciones espaciales, de manera tal que cada cultura crea su ambiente. Distintas estrategias de desarrollo socioeconómico conducen a modelos diferentes de organización del espacio en el territorio; en similar sentido, toda estructura territorial dada impone condicionantes a las relaciones económicas y sociales que sobre ella puedan establecerse, según procesos de distinto orden: ecológicos, productivos y culturales. De allí la dificultad de la ordenación planificada del territorio, por parte de la gestión pública, que justifica la exploración geográfica de su significado. Se analizan para el caso de Argentina los "condicionantes" ambientales, desde el eje jurídico-normativo, vinculados al desarrollo territorial y uso del suelo.

Premisas geográficas del desarrollo y ordenamiento ambiental

El significado contingente de un orden territorial ambientalmente sustentable es analizado desde la particular mirada de la geografía. La ordenación del territorio alude a la representación del resultado de las interacciones hombre-medio geográfico que implica, históricamente, diferentes configuraciones espaciales, de manera tal que cada cultura crea su ambiente. Distintas estrategias de desarrollo socioeconómico conducen a modelos diferentes de organización del espacio en el territorio; en similar sentido, toda estructura territorial dada impone condicionantes a las relaciones económicas y sociales que sobre ella puedan establecerse, según procesos de distinto orden: ecológicos, productivos y culturales. De allí la dificultad de la ordenación planificada del territorio, por parte de la gestión pública, que justifica la exploración geográfica de su significado. Se analizan para el caso de Argentina los "condicionantes" ambientales, desde el eje jurídico-normativo, vinculados al desarrollo territorial y uso del suelo.

The sum of feminine achievement; a critical and analytical study of woman's contribution to the intellectual progress of the world,

"Table -- The famous women of modern times," (p. 210-237): lists 400 women of achievement in the fields of art, education, geographic exploration, journalism, sociology, philanthropy, religion, suffrage, science, medicine, music, theatre, literature, woman in war, and statesmanship.

Firms’ innovation objectives and knowledge acquisition strategies:a comparative analysis

External partnerships play an important role in firms’ acquisition of the knowledge inputs to innovation. Such partnerships may be interactive – involving exploration and mutual learning by both parties – or non-interactive – involving exploitative activity and learning by only one party. Examples of non-interactive partnerships are copying or imitation. Here, we consider how firms’ innovation objectives influence their choice of interactive and/or non-interactive connections. We conduct a comparative analysis for the economies of Spain and the UK, which have contrasting innovation eco-systems and regulation burdens.

Reference list of 265 sources used for the discovery of relationships between data clusters and metadata properties

Visual cluster analysis provides valuable tools that help analysts to understand large data sets in terms of representative clusters and relationships thereof. Often, the found clusters are to be understood in context of belonging categorical, numerical or textual metadata which are given for the data elements. While often not part of the clustering process, such metadata play an important role and need to be considered during the interactive cluster exploration process. Traditionally, linked-views allow to relate (or loosely speaking: correlate) clusters with metadata or other properties of the underlying cluster data. Manually inspecting the distribution of metadata for each cluster in a linked-view approach is tedious, specially for large data sets, where a large search problem arises. Fully interactive search for potentially useful or interesting cluster to metadata relationships may constitute a cumbersome and long process. To remedy this problem, we propose a novel approach for guiding users in discovering interesting relationships between clusters and associated metadata. Its goal is to guide the analyst through the potentially huge search space. We focus in our work on metadata of categorical type, which can be summarized for a cluster in form of a histogram. We start from a given visual cluster representation, and compute certain measures of interestingness defined on the distribution of metadata categories for the clusters. These measures are used to automatically score and rank the clusters for potential interestingness regarding the distribution of categorical metadata. Identified interesting relationships are highlighted in the visual cluster representation for easy inspection by the user. We present a system implementing an encompassing, yet extensible, set of interestingness scores for categorical metadata, which can also be extended to numerical metadata. Appropriate visual representations are provided for showing the visual correlations, as well as the calculated ranking scores. Focusing on clusters of time series data, we test our approach on a large real-world data set of time-oriented scientific research data, demonstrating how specific interesting views are automatically identified, supporting the analyst discovering interesting and visually understandable relationships.

Interactive exploration of data with visual metaphors

Visual Analytics (VA) is an approach to data analysis by means of visual manipulation of data representation, which relies on innate human abilities of perception and cognition. Even though current visual toolkits in the Business Analytics (BA) domain have improved the effectiveness of data exploration, analysis and reporting, their features are often not intuitive, and can be confusing and difficult to use. Moreover, visualizations generated from these toolkits are mostly accessible to specialist users. Thus, there is a need for analytic environments that support data exploration, interpretation and communication of insight that do not add to the cognitive load of the analyst and their non-technical clients. In this conceptual paper, we explore the potential of primary metaphors, which arise out of human lived and sensory-motor experiences, in the design of immersive visual analytics environments. Primary metaphors provide ideas for representation of time, space, quantity, similarity, actions and team work. Using examples developed in our own work, we also explain how to combine such metaphors to create complex and cognitively acceptable visual metaphors, such as 3D data terrains that approximate our intuition of reality and create opportunities for data to be viewed, navigated, explored, touched, changed, discussed, reported and described to others, individually or collaboratively.

Combining Text and Graphics for Interactive Exploration of Behavior Datasets

Modern sensor technologies and simulators applied to large and complex dynamic systems (such as road traffic networks, sets of river channels, etc.) produce large amounts of behavior data that are difficult for users to interpret and analyze. Software tools that generate presentations combining text and graphics can help users understand this data. In this paper we describe the results of our research on automatic multimedia presentation generation (including text, graphics, maps, images, etc.) for interactive exploration of behavior datasets. We designed a novel user interface that combines automatically generated text and graphical resources. We describe the general knowledge-based design of our presentation generation tool. We also present applications that we developed to validate the method, and a comparison with related work.

MILVA:An interactive tool for the exploration of multidimensional microarray data

Clustering techniques such as k-means and hierarchical clustering are commonly used to analyze DNA microarray derived gene expression data. However, the interactions between processes underlying the cell activity suggest that the complexity of the microarray data structure may not be fully represented with discrete clustering methods.

Interactive exploration of large remote image databases

Mapping-based visualisations of image databases are well suited to users wanting to survey the overall content of a collection. Given the large amount of image data contained within such visualisations, however, this approach has yet to be applied to large image databases stored remotely. In this technical demonstration, we showcase our Web-Based Images Browser (WBIB). Our novel system makes use of image pyramids so that users can interactively explore mapping-based visualisations of large remote image databases. © 2012 Authors.

Interactive exploration of image collections on mobile devices

Image collections are ever growing and hence visual information is becoming more and more important. Moreover, the classical paradigm of taking pictures has changed, first with the spread of digital cameras and, more recently, with mobile devices equipped with integrated cameras. Clearly, these image repositories need to be managed, and tools for effectively and efficiently searching image databases are highly sought after, especially on mobile devices where more and more images are being stored. In this paper, we present an image browsing system for interactive exploration of image collections on mobile devices. Images are arranged so that visually similar images are grouped together while large image repositories become accessible through a hierarchical, browsable tree structure, arranged on a hexagonal lattice. The developed system provides an intuitive and fast interface for navigating through image databases using a variety of touch gestures. © 2012 Springer-Verlag.