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A gallery of up-to-date and stylish LaTeX templates, examples to help you learn LaTeX, and papers and presentations published by our community. Search or browse below.

Landscape Beamer Poster Template
Landscape Beamer Poster Template
Jacobs Landscape Poster LaTeX Template Version 1.0 (29/03/13) Created by: Computational Physics and Biophysics Group, Jacobs University https://teamwork.jacobs-university.de:8443/confluence/display/CoPandBiG/LaTeX+Poster Further modified by: Nathaniel Johnston (nathaniel@njohnston.ca) This template has been downloaded from: http://www.LaTeXTemplates.com License: CC BY-NC-SA 3.0 (http://creativecommons.org/licenses/by-nc-sa/3.0/)
Computational Physics and Biophysics Group, Jacobs University, with modification by Nathaniel Johnston and Vel Gayevskiy
Recenzja filmu ,,Miasto 44"
Recenzja filmu ,,Miasto 44"
Recenzja filmu ,,Miasto 44"
other019
maxQ Hausarbeit
maxQ Hausarbeit
Dies ist ein Template, um schnell das Layout einer Hausarbeit festzulegen.
Matthias Kluth
ECE 100 Template
ECE 100 Template
Template by Adam Sumner
Patrick Bartman
Linear Multistep Methods
Linear Multistep Methods
Part 3 project plan
Philip Osborne
Lua\LaTeX
Lua\LaTeX
Erste Schritte mit LuaLaTeX Pseudozufallszahlen und einfache Rechnungen mit Lua; Ausgabe mit LaTeX
Werner Pronkow
Applying Geospatial Semantic Array Programming for a Reproducible Set of Bioclimatic Indices in Europe
Applying Geospatial Semantic Array Programming for a Reproducible Set of Bioclimatic Indices in Europe
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
Giovanni Caudullo
Aplicaciones
Aplicaciones
"ModernCV" CV and Cover Letter LaTeX Template Version 1.1 (9/12/12) This template has been downloaded from: http://www.LaTeXTemplates.com Original author: Xavier Danaux (xdanaux@gmail.com) License: CC BY-NC-SA 3.0 (http://creativecommons.org/licenses/by-nc-sa/3.0/) Important note: This template requires the moderncv.cls and .sty files to be in the same directory as this .tex file. These files provide the resume style and themes used for structuring the document.
Amaru
Maze Solving by an Autonomous Robot
Maze Solving by an Autonomous Robot
Report on the project "Maze Solving by an Autonomous Robot" performed at Aalborg University in 2014.
Keylekan