LaTeX templates and examples — Posters

The following paper is a try out on the application of multivariate analysis (regression tree, principal component analysis, and cluster analysis) for classifying hot water chemistry. The number of sample analysed was 416 from all over Indonesia. Regression tree technique has failed to read the data structure due to multi-collinearity effect therefore PCA and cluster analysis were applied. We used open source R statistical packages to do the calculation. Such technique classifies hot water samples into three major clusters: cluster 1 (pure hot water), cluster 2 (mixing water), and cluster 3 (cold-meteoric water). Similar clustering were also detected in the PCA plot. The statistical is able to detect the close and open geothermal system based on data structure. This robust method should be applied to more geothermal system with larger dataset to see its performance.

Nice big text, one page with small margins, landscape. Good for printing out a short message with a contact phone number and email.

Multi-column LaTeX poster template for colleges using the sciposter package. Designed for Serviço Nacional de Aprendizagem Comercial (Senac).

Poster para Workshop de Computação Aplicada do curso de Pós-Graduação em Computação Aplicada do Instituto Nacional de Pesquisas Espaciais

Updates: qr code on the left or on the right color-coded depending on the type of poster refactorisation for easier use LaTeX Implementation of this video https://www.youtube.com/watch?v=1RwJbhkCA58&t=1s Original powerpoint at https://osf.io/g6xsm/

t1-metodologia 2019

A quick way to geta a poster (letterpaper size by default) with a picture (as background) of our lost dog.

Template contendo o modelo de POSTER para trabalhos acadêmicos desenvolvidos por alunos do curso de Engenharia de Computação do Centro Federal Celso Suckow da Fonseca (CEFET) campus Petrópolis.

MatPlotLib and Random Cheat Sheet Edited by Michelle Cristina de Sousa Baltazar http://matplotlib.org/api/pyplot_summary.html http://matplotlib.org/users/pyplot_tutorial.html