Comparison studies of tin deposits (Priamurye, Russia) using the Aitchison’s methodology

A study of tin deposits from Priamurye (Russia) is performed to analyze the differencesbetween them based on their origin and also on commercial criteria. A particularanalysis based on their vertical zonality is also given for samples from Solnechnoedeposit. All the statistical analysis are made on the subcomposition formed by seventrace elements in cassiterite (In, Sc, Be, W, Nb, Ti and V) using the Aitchison’methodology of analysis of compositional data

De Pandora a Mr. Arkadin: les representacions fílmiques d’una Costa Brava simbòlica

Repàs de com ha estat representada la Costa Brava, com a escenari d’exteriors, al món del cinema amb diverses localitzacions tant des d’una perspectiva metodològica documental com des d’una perspectiva metodològica simbòlica

Reglà, l´historiador que volia comprendre el món

Breu ressenya de la vida i obra de l’historiador empordanès Joan Reglà

El Paisatge

El paisatge de l’Alta Garrotxa ha sofert canvis radicals al llarg del temps i molt especial a les darreres dècades. Es proporcionen dades estadístiques sobre bosc, bosquina, pastura, conreu, vegetació de cinglera i zona estèril (roca nua, etc.)

El Bosc, element clau d'un paisatge i d'una comunitat

Aquest treball és un resum de la Memòria de Llicenciatura El Bosc, element clau d’un paisatge i d’una comunitat. La seva percepció per part dels pagesos de l’Alta Garrotxa. Assaig metodològic, llegida el 18 de desembre de 1981 a la Universitat Autònoma de Barcelona

Girona, capital europea del paisatge

Resum de la V Trobada dels tallers per a l’aplicació del Conveni europeu del paisatge, què va tenir lloc a Girona al setembre de 2006

Inference of distributional parameters from compositional samples containing nondetects

Low concentrations of elements in geochemical analyses have the peculiarity of beingcompositional data and, for a given level of significance, are likely to be beyond thecapabilities of laboratories to distinguish between minute concentrations and completeabsence, thus preventing laboratories from reporting extremely low concentrations of theanalyte. Instead, what is reported is the detection limit, which is the minimumconcentration that conclusively differentiates between presence and absence of theelement. A spatially distributed exhaustive sample is employed in this study to generateunbiased sub-samples, which are further censored to observe the effect that differentdetection limits and sample sizes have on the inference of population distributionsstarting from geochemical analyses having specimens below detection limit (nondetects).The isometric logratio transformation is used to convert the compositional data in thesimplex to samples in real space, thus allowing the practitioner to properly borrow fromthe large source of statistical techniques valid only in real space. The bootstrap method isused to numerically investigate the reliability of inferring several distributionalparameters employing different forms of imputation for the censored data. The casestudy illustrates that, in general, best results are obtained when imputations are madeusing the distribution best fitting the readings above detection limit and exposes theproblems of other more widely used practices. When the sample is spatially correlated, itis necessary to combine the bootstrap with stochastic simulation

Joan Pujol: una lectura contrareformista d'Ausiàs Marc

Anàlisi de l’obra del poeta Joan Pujol, concretament els textos que tenen com a referent directe la figura i/o l’obra d’Ausiàs Marc. S���ofereix una hipòtesi de lectura del conjunt de poemes presentats

A compositional approach to stable isotope data analysis

Isotopic data are currently becoming an important source of information regardingsources, evolution and mixing processes of water in hydrogeologic systems. However, itis not clear how to treat with statistics the geochemical data and the isotopic datatogether. We propose to introduce the isotopic information as new parts, and applycompositional data analysis with the resulting increased composition. Results areequivalent to downscale the classical isotopic delta variables, because they are alreadyrelative (as needed in the compositional framework) and isotopic variations are almostalways very small. This methodology is illustrated and tested with the study of theLlobregat River Basin (Barcelona, NE Spain), where it is shown that, though verysmall, isotopic variations comp lement geochemical principal components, and help inthe better identification of pollution sources

Artur Gas, editor de Josep Pla: breu història d'Ediciones Alfa

Repàs de la trajectòria professional com a editor, començant com a editor de caire socialista i acabant col·laborant amb la dictadura de Primo de Rivera. Es fa especial menció al seu paper com a editor de Josep Pla i a la seva editorial, Ediciones Alfa

El Cancionero del Barón de Claret: fama de Lope de Vega y Calderón de la Barca en la Cataluña de la segunda mitad del siglo XVII

Comentari del llibre Cancionero del Barón de Claret, compilat a Catalunya. El comentari es centra en la influència de Lope de Vega i de Calderón de la Barca sobre aquesta obra. Resulta més influent Lope de Vega, malgrat que en el moment de la compilació de la obra ja no estava de moda, que Calderón de la Barca

De Llagostera a Romanyà de la Selva

Descripció del viatge entre Llagostera i Romanyà de la Selva realitzat per l’autora un dia de tardor

Discrete and continuous compositions

This paper examines a dataset which is modeled well by thePoisson-Log Normal process and by this process mixed with LogNormal data, which are both turned into compositions. Thisgenerates compositional data that has zeros without any need forconditional models or assuming that there is missing or censoreddata that needs adjustment. It also enables us to model dependenceon covariates and within the composition

CODAPACK3D. A new version of Compositional Data Package

The statistical analysis of compositional data should be treated using logratios of parts,which are difficult to use correctly in standard statistical packages. For this reason afreeware package, named CoDaPack was created. This software implements most of thebasic statistical methods suitable for compositional data.In this paper we describe the new version of the package that now is calledCoDaPack3D. It is developed in Visual Basic for applications (associated with Excel©),Visual Basic and Open GL, and it is oriented towards users with a minimum knowledgeof computers with the aim at being simple and easy to use.This new version includes new graphical output in 2D and 3D. These outputs could bezoomed and, in 3D, rotated. Also a customization menu is included and outputs couldbe saved in jpeg format. Also this new version includes an interactive help and alldialog windows have been improved in order to facilitate its use.To use CoDaPack one has to access Excel© and introduce the data in a standardspreadsheet. These should be organized as a matrix where Excel© rows correspond tothe observations and columns to the parts. The user executes macros that returnnumerical or graphical results. There are two kinds of numerical results: new variablesand descriptive statistics, and both appear on the same sheet. Graphical output appearsin independent windows. In the present version there are 8 menus, with a total of 38submenus which, after some dialogue, directly call the corresponding macro. Thedialogues ask the user to input variables and further parameters needed, as well aswhere to put these results. The web site http://ima.udg.es/CoDaPack contains thisfreeware package and only Microsoft Excel© under Microsoft Windows�� is required torun the software.Kew words: Compositional data Analysis, Software

News from compositions, the R package

The R-package “compositions���is a tool for advanced compositional analysis. Its basicfunctionality has seen some conceptual improvement, containing now some facilitiesto work with and represent ilr bases built from balances, and an elaborated subsys-tem for dealing with several kinds of irregular data: (rounded or structural) zeroes,incomplete observations and outliers. The general approach to these irregularities isbased on subcompositions: for an irregular datum, one can distinguish a “regular” sub-composition (where all parts are actually observed and the datum behaves typically)and a “problematic” subcomposition (with those unobserved, zero or rounded parts, orelse where the datum shows an erratic or atypical behaviour). Systematic classificationschemes are proposed for both outliers and missing values (including zeros) focusing onthe nature of irregularities in the datum subcomposition(s).To compute statistics with values missing at random and structural zeros, a projectionapproach is implemented: a given datum contributes to the estimation of the desiredparameters only on the subcompositon where it was observed. For data sets withvalues below the detection limit, two different approaches are provided: the well-knownimputation technique, and also the projection approach.To compute statistics in the presence of outliers, robust statistics are adapted to thecharacteristics of compositional data, based on the minimum covariance determinantapproach. The outlier classification is based on four different models of outlier occur-rence and Monte-Carlo-based tests for their characterization. Furthermore the packageprovides special plots helping to understand the nature of outliers in the dataset.Keywords: coda-dendrogram, lost values, MAR, missing data, MCD estimator,robustness, rounded zeros