More code and images from “Displaying time series, spatial and space-time data with R”

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github, R, spatial, spatio temporal, time series, visualization

My book continues growing. I have recently completed the first version of the Spatio-Temporal visualization chapters. Moreover, a significant part of the code of the Time Series and Spatial data chapters has been fixed and improved with new procedures and examples. The updated code is available at the github repository. Visit the webpage to explore the main images.

For example, you will find this animation:

or this combination of a proportional symbol graphic with a Stamen map:

New version of solaR

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CRAN, photovoltaics, R, solar, solar radiation, time series

I have updated my package solaR. This package provides calculation methods of solar radiation and performance of photovoltaic systems from daily and intradaily irradiation data sources.

This last version is able to produce a synthetic daily irradiation time series from 12 monthly average values following the procedure proposed by Aguiar, Collares-Pereira and Conde, “Simple procedure for generating sequences of daily radiation values using a library of Markov transition matrices”, Solar Energy, Volume 40, Issue 3, 1988.

On the other hand, there is a new function named writeSolar to export the results of the set of functions of this package.

Displaying time series, spatial and space-time data with R

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chapman hall, github, R, spatial, time series, visualization

During next months I will be working on the book “Displaying time series, spatial and space-time data with R: stories of space and time” to be published with Chapman&Hall/CRC. This book will provide methods to display time series, spatial and space-time data using R. The code of each method will be detailed and commented through practical examples with real data.
The R code, data and main graphics will be available at the book website. The code and figures of the “Time Series” chapter are already there.