Textural classification of land cover using support vector machines: an empirical comparison with parametric, non parametric and hybrid classifiers in the Bolivian Amazon

Land cover classification is a key research field in remote sensing and land change science as thematic maps derived from remotely sensed data have become the basis for analyzing many socio-ecological issues. However, land cover classification remains a difficult task and it is especially challenging in heterogeneous tropical landscapes where nonetheless such maps are of great importance. The present study aims to establish an efficient classification approach to accurately map all broad land cover classes in a large, heterogeneous tropical area of Bolivia, as a basis for further studies (e.g., land cover-land use change). Specifically, we compare the performance of parametric (maximum likelihood), non-parametric (k-nearest neighbour and four different support vector machines - SVM), and hybrid classifiers, using both hard and soft (fuzzy) accuracy assessments. In addition, we test whether the inclusion of a textural index (homogeneity) in the classifications improves their performance. We classified Landsat imagery for two dates corresponding to dry and wet seasons and found that non-parametric, and particularly SVM classifiers, outperformed both parametric and hybrid classifiers. We also found that the use of the homogeneity index along with reflectance bands significantly increased the overall accuracy of all the classifications, but particularly of SVM algorithms. We observed that improvements in producer’s and user’s accuracies through the inclusion of the homogeneity index were different depending on land cover classes. Earlygrowth/degraded forests, pastures, grasslands and savanna were the classes most improved, especially with the SVM radial basis function and SVM sigmoid classifiers, though with both classifiers all land cover classes were mapped with producer’s and user’s accuracies of around 90%. Our approach seems very well suited to accurately map land cover in tropical regions, thus having the potential to contribute to conservation initiatives, climate change mitigation schemes such as REDD+, and rural development policies.

Telomere characterization in the Asteraceae family

Asteraceae or Compositae constitute one of the largest families of the angiosperms, distributed over all continents but in Antarctica, particularly well represented in temperate zones and less frequent in tropical regions. The Asteraceae have been the object of a great deal of attention from all viewpoints for their scientific as well as economic interest. Telomeres sequences are highly conservated at the ends of chromosomes across the eukaryotes. In plants, generally are formed by tandemly repeated sequences named Arabidopsis type but several exceptions have been described. The objective of the present work is to study the telomeric characterization along the whole Asteraceae family and to find, if any, the relationships between these results and the evolutionary history in this family.

Registre isotòpic d'alquenones i lípids terrestres en sediment marí: una reconstrucció paleoclimàtica a l'oceà Índic

Projecte de recerca elaborat a partir d’una estada a la Institute of mineralogy and geochemistry de la University of Lausanne, Suïssa, entre 2007 i 2009. Durant l’última dècada, la comunitat científica ha reconegut que les zones tropicals juguen un paper clau en els processos dinàmics que controlen el canvi climàtic global, probablement com a desencadenant dels canvis succeïts en altes latituds. A més a més, els sediments dels oceans tropicals, en trobar-se fora de l’impacte directe de les plaques de gel continentals creades durant les glaciacions, proporcionen un registre continu de les variacions climàtiques del planeta. Malgrat tot, encara hi ha moltes incògnites sobre el paper específic de les zones tropicals, especialment pel que fa a les variacions brusques suborbitals, degut als pocs registres d’alta resolució estudiats en aquestes àrees que abastin varis cicles glacial/interglacial. Per tal d’ajudar a clarificar el paper de les zones tropicals de l’hemisferi sud en el control del clima a escala mil•lenària s’ha estudiat la distribució i la composició isotòpica de biomarcadors moleculars marins i terrestres, a baixa resolució, en el testimoni MD98-2165 (9º39’S, 118º20’E, 2100 m de profunditat d’aigua, 42.3 m de llarg) està situat al sud-oest d’Indonèsia, on s’enregistren les temperatures superficials del mar més elevades del planeta i una elevada activitat convectiva, que té una influència en la distribució de la humitat atmosfèrica en una extensa superfície de la Terra. Les distribucions observades de biomarcadors terrígens (C23-C33 n-alcans i C20-C32 n-alcan-1-ols) són típiques del lipids de plantes superiors que arriben a l’oceà principalment per via eòlica. L’alcà de 31 àtoms de carboni i els alcohols de 28 o 32 àtoms de carboni són els homòlegs més abundants en ambdós testimonis. Cal destacar l’alcohol C32 com a homòleg principal durant les èpoques glacials, tot suggerint una expansió de les plantes tropicals C4 associada a unes condicions més àrides. La procedència d’aquests lipids queda corroborada mitjançant la seva composició isotòpica de carboni, que ens permet diferenciar la ruta fotosintètica emprada i per tant, entre el tipus de plantes.

Evidence on the determinants of foreign direct investment: the case of three european regions

This study aims at analyzing the determinants of FDI (foreign direct investment) inflows for a group of European regions. The originality of this approach lies in the use of disaggregated regional data. First, we develop a qualitative description of our database and discuss the importance of the macroeconomic determinants in attracting FDI. Then, we provide an econometric exercise to identify the potential determinants of FDI. In spite of choosing regions presenting economic similarities, we show that regional FDI inflows rely on a combination of factors that differs from one region to another.

Convergence across countries and regions: theory and empirics

This paper surveys the recent literature on convergence across countries and regions. I discuss the main convergence and divergence mechanisms identified in the literature and develop a simple model that illustrates their implications for income dynamics. I then review the existing empirical evidence and discuss its theoretical implications. Early optimism concerning the ability of a human capital-augmented neoclassical model to explain productivity differences across economies has been questioned on the basis of more recent contributions that make use of panel data techniques and obtain theoretically implausible results. Some recent research in this area tries to reconcile these findings with sensible theoretical models by exploring the role of alternative convergence mechanisms and the possible shortcomings of panel data techniques for convergence analysis.

The effect of structural fund spending on the spanish regions: an assessment of the 1994-99 objective 1 CSF

This paper analyzes the growth and employment effects of the 1994-99 Community Support Framework (CSF) for the Objective 1 Spanish regions using a simple supply-side model estimated with a panel of regional data. The results suggest that the impact of the Structural Funds in Spain has been quite sizable, adding around a percentage point to annual output growth in the average Objective 1 region and 0.4 points to employment growth. Over the period 1994-2000, the Framework has resulted in the creation of over 300,000 new jobs and has eliminated 20% of the initial gap in income per capita between the assisted regions and the rest of the country.

Spillover effects of public capital formation: evidence from the spanish regions

Maybe because of the inconclusive nature of the results on the impact of public capital on output at the regional level, the issue of the possible existence of the regional spillovers from public capital formation has received little attention. The objective of this paper is to provide evidence on the possible existence of such spillovers. We consider the case of Spain and its seventeen regions. Our methodological approach consists in estimating an aggregate VAR model for Spain as well as seventeen region-specific VAR models in which both capital installed in the region and capital installed outside the region are allowed to play a role in enhancing regional output. The estimation results can be summarized as follows. The aggregate effects of public capital formation in Spain are important. They cannot, however, be captured in their entirety by the direct effects in each region from public capital installed in the region itself. When for each region both the capital installed in the region and the capital installed outside the region are considered the total disaggregated effect from the seventeen regional models are very much in line with the aggregate results. Furthermore, the aggregate effect seems to be due in almost equal parts to the direct and spillover effects of public capital formation. Ultimately, this paper establishes the relevance of both capital installed in each region and spillover effects in the understanding of the regional decomposition of the aggregate effects of public capital formation. In doing so it opens the door to some tantalizing and potentially highly charged research issues in terms of the determination of the optimal location of public investment projects.

Labor productivity in Europe: evidence from a sample of regions

The present paper aims at analyzing the sources of productivity in Europe to account for its recent underperformance and identify potential geographic idiosyncracies. We study the productivity performance and its sources in a sample of ten European regions belonging to four countries (France, Germany, Italy and Spain). Exploiting the increasing availability of disaggregated data at regional level in Europe, we propose both a descriptive statistics and an econometric analysis of productivity sources since 1995. Our main finding is that the sources of labor productivity are rather heterogeneous across our sample but may be associated with regional or national idiosyncracies.

Tropical varieties for non-archimedean analytic spaces

"Vegeu el resum a l'inici del document del fitxer adjunt."

GenRegion: aplicatiu de generació de màscares per a la codificació d'imatges amb regions d'interès

En aquest projecte, titulat "GenRegion: aplicatiu de generació de màscares per a la codificació d'imatges amb regions d'interès", presentem una aplicació multiplataforma que visualitza imatges PGM i PPM amb un mínim cost de memòria i sobre les quals podrem dibuixar regions d'interès. L'aplicació carregarà només la part de la imatge que podem visualitzar a la pantalla de treball permetent treballar amb imatges de gran tamany. Les regions definides seran accessibles en tot moment, podent modificar-les i esborrar-les. Finalment podrem generar ja sigui una màscara de la imatge actual amb les regions definides o bé una imatge idèntica a l'original però on es visualitzaran les regions definides.