Hydroinformatics is the science of analysing data related to water utilities. Wikipedia defines Hydroinformatics as:
“a branch of informatics which concentrates on the application of information and communications technologies (ICTs) in addressing the increasingly serious problems of the equitable and efficient use of water for many different purposes.”
This website contains a series of articles with examples of data analysis for water utilities in the R language. R is an open-source programming language and software environment for statistical computing and graphics. Data scientists in many fields of endeavour use the R language to create value from data.
To promote data science in water utilities, I started a community of interest with Water Research Australia. One of the objectives of this group is to develop open source solutions to manage water problems.
I started writing a book to promote the virtues of writing code in R for water utilities, which I hope to complete in 2019.
If you are interested in hydroinfromatics and data science for water utilities that consider joining Water RA or subscribe to this blog.
The netCDF format is popular in sciences that analyse sequential spatial data. It is a self-describing, machine-independent data format for creating, accessing and sharing array-oriented information. ...Read More
A geographic bubble chart is a straightforward method to visualise quantitative information with a geospatial relationship. Last week I was in Vietnam helping the Phú Thọ Water Supply Joint Stock C...Read More
This article describes how to use Virtual tags to analyse SCADA data. Virtual tags provide context o SCADA or Historian data by combining information from various tags with meta data about these tags....Read More