La societat xarxa a Catalunya. Informe de recerca I

Aquest estudi analitza les pràctiques diàries, els valors socials i les actituds de la població catalana en el procés de transició cap a la societat xarxa. Analitza el comportament de les persones a Internet i fora d'Internet, investigant el paper específic dels usos d'Internet a l'hora d'influenciar pràctiques i actituds. Es basa en les respostes a una enquesta de 3.005 individus, una mostra representativa de la població catalana el 2002. L'enquesta es va fer entre el febrer i el maig del 2002, i es basava en entrevistes cara a cara a partir d'un qüestionari de 179 preguntes. Es van utilitzar fonts secundàries per a situar els resultats catalans, particularment sobre els usos d'Internet, en el context global. L'anàlisi es va completar el 2007 incorporant-hi noves dades secundàries. L'estudi va cobrir pràctiques socials de treball, comunicació, sociabilitat, usos d'espai i temps, usos d'Internet, identitat cultural, pràctica política, associacionisme i formació de projectes d'autonomia. Es van construir diversos models estadístics per a proporcionar una anàlisi causal de cada una d'aquestes àrees d'estudi. El descobriment més significatiu fa referència a la relació entre els usos d'Internet i la construcció d'autonomia per part d'actors socials. Fent servir anàlisis factorial, l'estudi va definir cinc índexs d'autonomia que eren estadísticament independents: autonomia personal, autonomia professional, autonomia comunicativa, autonomia corporal i autonomia sociopolítica. Cada un d'aquests índexs d'autonomia independents estan fortament associats amb la freqüència i la intensitat de l'ús d'Internet, i les relacions observades es mantenen quan es controlen per variables sociodemogràfiques. A partir d'aquest estudi es pot afirmar que Internet és una plataforma important per a la construcció d'autonomia en la societat xarxa. En general, la societat catalana sembla que canviï de manera similar a altres societats en transició, amb l'èmfasi afegit del paper del territori i la família a l'hora d'enfortir les relacions socials, amb la contribució positiva d'Internet a un dens patró d'interacció social.

La transició a la societat xarxa a Catalunya. Informe final de recerca (volum II)

Aquest estudi analitza les pràctiques diàries, els valors socials i les actituds de la població catalana en el procés de transició cap a la societat xarxa. Analitza el comportament de les persones a Internet i fora d'Internet, investigant el paper específic dels usos d'Internet a l'hora d'influenciar pràctiques i actituds. Es basa en les respostes a una enquesta de 3.005 individus, una mostra representativa de la població catalana el 2002. L'enquesta es va fer entre el febrer i el maig del 2002, i es basava en entrevistes cara a cara a partir d'un qüestionari de 179 preguntes. Es van utilitzar fonts secundàries per a situar els resultats catalans, particularment sobre els usos d'Internet, en el context global. L'anàlisi es va completar el 2007 incorporant-hi noves dades secundàries. L'estudi va cobrir pràctiques socials de treball, comunicació, sociabilitat, usos d'espai i temps, usos d'Internet, identitat cultural, pràctica política, associacionisme i formació de projectes d'autonomia. Es van construir diversos models estadístics per a proporcionar una anàlisi causal de cada una d'aquestes àrees d'estudi. El descobriment més significatiu fa referència a la relació entre els usos d'Internet i la construcció d'autonomia per part d'actors socials. Fent servir anàlisis factorial, l'estudi va definir cinc índexs d'autonomia que eren estadísticament independents: autonomia personal, autonomia professional, autonomia comunicativa, autonomia corporal i autonomia sociopolítica. Cada un d'aquests índexs d'autonomia independents estan fortament associats amb la freqüència i la intensitat de l'ús d'Internet, i les relacions observades es mantenen quan es controlen per variables sociodemogràfiques. A partir d'aquest estudi es pot afirmar que Internet és una plataforma important per a la construcció d'autonomia en la societat xarxa. En general, la societat catalana sembla que canviï de manera similar a altres societats en transició, amb l'èmfasi afegit del paper del territori i la família a l'hora d'enfortir les relacions socials, amb la contribució positiva d'Internet a un dens patró d'interacció social.

La evaluación de la reducción de amenazas en el Parque Natural de la Zona Volcánica de la Garrotxa (Girona)

En este artículo se presenta la metodología y los resultados derivados de la aplicación de una adaptación del denominado modelo de evaluación de reducción de amenazas (Threat Reduction Assesment) en el Parque Natural de la Zona Volcánica de la Garrotxa (PNZVG). Endefinitiva, se pretende valorar la efectividad de la gestión a partir del grado de reducción de amenazas en el PNZVG. El estudio se realizó a partir de la elaboración de una evaluación externa e independiente, que ha contado a la vez con una estrecha colaboración de los órganos gestores y rectores del Parque, así como con una activa participación de distintos agentes sociales clave. Se concluye que, después de veinticinco años de existencia del Parque, muchas de las amenazas iniciales sólo se han reducido de forma modesta e incluso a partir del índice adaptado, considerado un enfoque más realista; con lo cual se llega a la preocupante conclusión de que algunas de las amenazas más importantes se han incrementado

Mixing compositions and other scales

Theory of compositional data analysis is often focused on the composition only. However in practical applications we often treat a composition together with covariableswith some other scale. This contribution systematically gathers and develop statistical tools for this situation. For instance, for the graphical display of the dependenceof a composition with a categorical variable, a colored set of ternary diagrams mightbe a good idea for a first look at the data, but it will fast hide important aspects ifthe composition has many parts, or it takes extreme values. On the other hand colored scatterplots of ilr components could not be very instructive for the analyst, if theconventional, black-box ilr is used.Thinking on terms of the Euclidean structure of the simplex, we suggest to set upappropriate projections, which on one side show the compositional geometry and on theother side are still comprehensible by a non-expert analyst, readable for all locations andscales of the data. This is e.g. done by defining special balance displays with carefully-selected axes. Following this idea, we need to systematically ask how to display, explore,describe, and test the relation to complementary or explanatory data of categorical, real,ratio or again compositional scales.This contribution shows that it is sufficient to use some basic concepts and very fewadvanced tools from multivariate statistics (principal covariances, multivariate linearmodels, trellis or parallel plots, etc.) to build appropriate procedures for all these combinations of scales. This has some fundamental implications in their software implementation, and how might they be taught to analysts not already experts in multivariateanalysis

Using self organizing maps on compositional data

Self-organizing maps (Kohonen 1997) is a type of artificial neural network developedto explore patterns in high-dimensional multivariate data. The conventional versionof the algorithm involves the use of Euclidean metric in the process of adaptation ofthe model vectors, thus rendering in theory a whole methodology incompatible withnon-Euclidean geometries.In this contribution we explore the two main aspects of the problem:1. Whether the conventional approach using Euclidean metric can shed valid resultswith compositional data.2. If a modification of the conventional approach replacing vectorial sum and scalarmultiplication by the canonical operators in the simplex (i.e. perturbation andpowering) can converge to an adequate solution.Preliminary tests showed that both methodologies can be used on compositional data.However, the modified version of the algorithm performs poorer than the conventionalversion, in particular, when the data is pathological. Moreover, the conventional ap-proach converges faster to a solution, when data is \well-behaved".Key words: Self Organizing Map; Artificial Neural networks; Compositional data

Vertebrates Limb Geometry in the Simplex space

A novel metric comparison of the appendicular skeleton (fore and hind limb) ofdifferent vertebrates using the Compositional Data Analysis (CDA) methodologicalapproach it’s presented.355 specimens belonging in various taxa of Dinosauria (Sauropodomorpha, Theropoda,Ornithischia and Aves) and Mammalia (Prothotheria, Metatheria and Eutheria) wereanalyzed with CDA.A special focus has been put on Sauropodomorpha dinosaurs and the Aitchinsondistance has been used as a measure of disparity in limb elements proportions to infersome aspects of functional morphology

Contribució a l'estudi de la Girona obrera (1841-1876)

Estudi sobre els inicis de la industrialització i el naixement de l'obrerisme a Girona

Does it pay to be socially responsible? Evidence from spanish retail banking sector

This paper presents a theoretical and empirical analysis of strategic competition in retail banking when some of the financial firms are non-profit organisations that invest in social activities. Banking literature about competition is fairly large, but the strategic interaction between profit maximizing and non profit maximizers has not been extensively analysed except for Purroy and Salas (1999). In this paper, a completely different approach is taken. An adaptation of Hotelling’s two stage model of spatial competition is developed to take into account consumer perceptions respect to the two different types of financial institutions. The empirical analysis confirms that consumers take into account other features different from the price, such as social contribution or closer service to make a deposit or mortgage decision. These conclusions are of interest in the debate about a firm’s social or ethical activities. It is shown that if consumers value social activities, firms can improv

Statistical modeling on coordinates

This paper is a first draft of the principle of statistical modelling on coordinates. Several causes —which would be long to detail—have led to this situation close to the deadline for submitting papers to CODAWORK’03. The main of them is the fast development of the approach along thelast months, which let appear previous drafts as obsolete. The present paper contains the essential parts of the state of the art of this approach from my point of view. I would like to acknowledge many clarifying discussions with the group of people working in this field in Girona, Barcelona, Carrick Castle, Firenze, Berlin, G¨ottingen, and Freiberg. They have given a lot of suggestions and ideas. Nevertheless, there might be still errors or unclear aspects which are exclusively my fault. I hope this contribution serves as a basis for further discussions and new developments

Spatial Analysis of Cell Composition Data

A version of Matheron’s discrete Gaussian model is applied to cell composition data.The examples are for map patterns of felsic metavolcanics in two different areas. Q-Qplots of the model for cell values representing proportion of 10 km x 10 km cell areaunderlain by this rock type are approximately linear, and the line of best fit can be usedto estimate the parameters of the model. It is also shown that felsic metavolcanics in theAbitibi area of the Canadian Shield can be modeled as a fractal

Conditional compositional biplots: theory and application

The biplot has proved to be a powerful descriptive and analytical tool in many areasof applications of statistics. For compositional data the necessary theoreticaladaptation has been provided, with illustrative applications, by Aitchison (1990) andAitchison and Greenacre (2002). These papers were restricted to the interpretation ofsimple compositional data sets. In many situations the problem has to be described insome form of conditional modelling. For example, in a clinical trial where interest isin how patients’ steroid metabolite compositions may change as a result of differenttreatment regimes, interest is in relating the compositions after treatment to thecompositions before treatment and the nature of the treatments applied. To study thisthrough a biplot technique requires the development of some form of conditionalcompositional biplot. This is the purpose of this paper. We choose as a motivatingapplication an analysis of the 1992 US President ial Election, where interest may be inhow the three-part composition, the percentage division among the three candidates -Bush, Clinton and Perot - of the presidential vote in each state, depends on the ethniccomposition and on the urban-rural composition of the state. The methodology ofconditional compositional biplots is first developed and a detailed interpretation of the1992 US Presidential Election provided. We use a second application involving theconditional variability of tektite mineral compositions with respect to major oxidecompositions to demonstrate some hazards of simplistic interpretation of biplots.Finally we conjecture on further possible applications of conditional compositionalbiplots

Analyzing shapes as compositions of distances

We propose to analyze shapes as “compositions” of distances in Aitchison geometry asan alternate and complementary tool to classical shape analysis, especially when sizeis non-informative.Shapes are typically described by the location of user-chosen landmarks. Howeverthe shape – considered as invariant under scaling, translation, mirroring and rotation– does not uniquely define the location of landmarks. A simple approach is to usedistances of landmarks instead of the locations of landmarks them self. Distances arepositive numbers defined up to joint scaling, a mathematical structure quite similar tocompositions. The shape fixes only ratios of distances. Perturbations correspond torelative changes of the size of subshapes and of aspect ratios. The power transformincreases the expression of the shape by increasing distance ratios. In analogy to thesubcompositional consistency, results should not depend too much on the choice ofdistances, because different subsets of the pairwise distances of landmarks uniquelydefine the shape.Various compositional analysis tools can be applied to sets of distances directly or afterminor modifications concerning the singularity of the covariance matrix and yield resultswith direct interpretations in terms of shape changes. The remaining problem isthat not all sets of distances correspond to a valid shape. Nevertheless interpolated orpredicted shapes can be backtransformated by multidimensional scaling (when all pairwisedistances are used) or free geodetic adjustment (when sufficiently many distancesare used)

Comparing correspondence analysis and the log-ratio alternative for representing categorical data

We compare correspondance análisis to the logratio approach based on compositional data. We also compare correspondance análisis and an alternative approach using Hellinger distance, for representing categorical data in a contingency table. We propose a coefficient which globally measures the similarity between these approaches. This coefficient can be decomposed into several components, one component for each principal dimension, indicating the contribution of the dimensions to the difference between the two representations. These three methods of representation can produce quite similar results. One illustrative example is given

CoDa-dendrogram: A new exploratory too

The use of orthonormal coordinates in the simplex and, particularly, balance coordinates, has suggested the use of a dendrogram for the exploratory analysis of compositional data. The dendrogram is based on a sequential binary partition of a compositional vector into groups of parts. At each step of a partition, one group of parts isdivided into two new groups, and a balancing axis in the simplex between both groupsis defined. The set of balancing axes constitutes an orthonormal basis, and the projections of the sample on them are orthogonal coordinates. They can be represented in adendrogram-like graph showing: (a) the way of grouping parts of the compositional vector; (b) the explanatory role of each subcomposition generated in the partition process;(c) the decomposition of the total variance into balance components associated witheach binary partition; (d) a box-plot of each balance. This representation is useful tohelp the interpretation of balance coordinates; to identify which are the most explanatory coordinates; and to describe the whole sample in a single diagram independentlyof the number of parts of the sample

A tale of two logits, compositional data analysis and zero observations

The application of compositional data analysis through log ratio trans-formations corresponds to a multinomial logit model for the shares themselves.This model is characterized by the property of Independence of Irrelevant Alter-natives (IIA). IIA states that the odds ratio in this case the ratio of shares is invariant to the addition or deletion of outcomes to the problem. It is exactlythis invariance of the ratio that underlies the commonly used zero replacementprocedure in compositional data analysis. In this paper we investigate using thenested logit model that does not embody IIA and an associated zero replacementprocedure and compare its performance with that of the more usual approach ofusing the multinomial logit model. Our comparisons exploit a data set that com-bines voting data by electoral division with corresponding census data for eachdivision for the 2001 Federal election in Australia