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Bioclimate-driven regression analysis is a widely used approach for modelling ecological niches and zonation. Although the bioclimatic complexity of the European continent is high, a particular combination of 12 climatic and topographic covariates was recently found able to reliably reproduce the ecological zoning of the Food and Agriculture Organization of the United Nations (FAO) for forest resources assessment at pan-European scale, generating the first fuzzy similarity map of FAO ecozones in Europe. The reproducible procedure followed to derive this collection of bioclimatic indices is now presented. It required an integration of data-transformation modules (D-TM) using geospatial tools such as Geographic Information System (GIS) software, and array-based mathematical implementation such as semantic array programming (SemAP). Base variables, intermediate and final covariates are described and semantically defined by providing the workflow of D-TMs and the mathematical formulation following the SemAP notation. Source layers to derive base variables were extracted by exclusively relying on global-scale public open geodata in order for the same set of bioclimatic covariates to be reproducible in any region worldwide. In particular, two freely available datasets were exploited for temperature and precipitation (WorldClim) and elevation (Global Multi-resolution Terrain Elevation Data). The working extent covers the European continent to the Urals with a resolution of 30 arc-second. The proposed set of bioclimatic covariates will be made available as open data in the European Forest Data Centre (EFDAC). The forthcoming complete set of D-TM codelets will enable the 12 covariates to be easily reproduced and expanded through free software. ....................................................................................................................... This manuscript has been accepted for publication in IEEE Earthzine 2014 Vol. 7 Issue 2, 2nd quarter theme: Geospatial Semantic Array Programming. The definitive version has been published at: http://www.earthzine.org/?p=877975 ...................................................................................................................... Please, cite the definitive version of the article as: Caudullo, G., 2014. Applying Geospatial Semantic Array Programming for a Reproducible Set of Bioclimatic Indices in Europe. IEEE Earthzine 7 (2), 877975+. URL http://www.earthzine.org/?p=877975

Бүлэг V.

Physics Professor

Mid-Semester Project Present

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A very preliminary study of the vle.extension.ibm package of vle in terms of computation time.

Based on the paper "Self-taught learning: Transfer Learning from Unlabeled Data"

After the fixture was sealed within the bell jar, the Margherita 2 underwent bakeout and a test seal on a one-inch tile. Following this small success, a larger project of sealing a larger tile during cesiation launched in the final week of the author's summer in the LAPPD Lab. Central to the ability to control these processes is the ability to monitor temperatures, pressures, and RGA plots as well as adjust heating inputs accurately and timely. This report documents the heating procedures, basic sealing cycle, and plotting past events or in real-time with the Margherita 2 infrastructure.