Informe d'Autors UOC a ISI Web of Knowledge. Juliol 2013

UOC

Informe d'Autors UOC a ISI Web of Knowledge. Agost 2013

UOC

Informe d'Autors UOC a ISI Web of Knowledge. Juliol 2007

Informe sobre les publicacions de recerca de la UOC introduides a ISI Web of Knowledge durant

Informe d'Autors UOC a ISI Web of Knowledge. Setembre 2013

UOC

Informe d'Autors UOC a ISI Web of Knowledge. Octubre 2013

UOC

Informe d'Autors UOC a ISI Web of Knowledge. Novembre 2013

UOC

Informe d'Autors UOC a ISI Web of Knowledge. Desembre 2013

UOC

Informe d'Autors UOC a ISI Web of Knowledge. Gener 2014

UOC

Informe d'Autors UOC a ISI Web of Knowledge. Febrer 2014

UOC

Informe d'Autors UOC a ISI Web of Knowledge. Març 2014

UOC

Informe d'Autors UOC a ISI Web of Knowledge. Abril 2014

UOC

Informe d'Autors UOC a ISI Web of Knowledge. Agost 2007

Informe sobre les publicacions de recerca de la UOC introduides a ISI Web of Knowledge durant

Informe d'Autors UOC a ISI Web of Knowledge. Setembre 2007

Informe sobre les publicacions de recerca de la UOC introduides a ISI Web of Knowledge durant

Ecological-niche factor analysis: how to compute habitat-suitability maps without absence data?

We propose a multivariate approach to the study of geographic species distribution which does not require absence data. Building on Hutchinson's concept of the ecological niche, this factor analysis compares, in the multidimensional space of ecological variables, the distribution of the localities where the focal species was observed to a reference set describing the whole study area. The first factor extracted maximizes the marginality of the focal species, defined as the ecological distance between the species optimum and the mean habitat within the reference area. The other factors maximize the specialization of this focal species, defined as the ratio of the ecological variance in mean habitat to that observed for the focal species. Eigenvectors and eigenvalues are readily interpreted and can be used to build habitat-suitability maps. This approach is recommended in Situations where absence data are not available (many data banks), unreliable (most cryptic or rare species), or meaningless (invaders). We provide an illustration and validation of the method for the alpine ibex, a species reintroduced in Switzerland which presumably has not yet recolonized its entire range.

Going with the consumer towards the social Web environment : a review of extant knowledge

The social Web environment cannot be explained without taking into account the use made by consumers of the web technologies in the field of e-commerce. Starting with a systematic background of the growing body of research on marketing and consumer behaviour on the Web; this article presents a critical review of the main contributions on this theme, integrating also the research field of consumer behaviour in the social Web environment. It concludes with some managerial guidelines for successful use of the social Web in the commercial activities and in the establishment of fruitful relationships between the consumers and the brand.