Category: Data Visualization
Project:Climate Analysis for Building Design
I’m starting the “Climate Analysis for Building Design” using R language(Python is also a good choice) . R is a free software environment for statistical computing and graphics. The goal of the project is to analyse the climate data under various criteria to guide the choosing of different strategy for building design in different climatic environment. There should be a GUI for the settings so an integration of R and C++ is necessary. Rcpp provides a powerful API on top of R, permitting direct interchange of rich R objects (including S3, S4 or Reference Class objects) between R and C++. The RInside package provides C++ classes that make it easier to embed R in C++ code — on either Linux, OS X or Windows. A web application is also under considering.
The R Project for Statistical Computing.
Rcpp: Seamless R and C++ Integration.
Beautiful Weather Graphs and Maps – WeatherSpark
Dimensional Changes in Wood
Luis Carli and Rafael Passarelli developed an interdisciplinary work between wooden architecture and information design through their research on wood dimensional changes. Known by many, especially in the field of architecture, construction, and design, most of the challenges of utilizing wood involve an understanding of wood-moisture relationships and its influence in wood properties. With this in mind, their work intends to provide a more comprehensive form for visualizing how different climate conditions influence different wood species regarding their dimensional stability. This also aims to provide a design tool for most wood-workers (from architects to cabinet-makers) that could quickly estimate the behavior of some wood species in a specific location along the year and, then, implement necessary design modifications in order to accommodate dimensional changes. More images and their description after the break.