Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Visualizing droughts with R
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Visualization > Visualizing droughts with R
Data Visualization

Visualizing droughts with R

DavidMSmith
DavidMSmith
2 Min Read
SHARE

Physicist and weather scientist Joe Wheatley used R to design and create a useful visual representation of how drought affects a region over long time-scales. Instead of charting absolute rainfall (or lack thereof), he instead charts the Standardized Precipitation Index (SPI), where extreme values (above 2 or below -2) indicate extreme wetness or dryness compared to the usual precipitation in that region. He then charts the SPI over time using colors to indicate extreme SPI values: red means dry, blue means wet. Here’s the chart for the Murray Darling basin, an important agricultural zone in Australia (click to enlarge):

Australia-drought
That region suffered a drought from 2002-2007, and the chart makes plain that it was the most severe drought event…

More Read

Image
B2B Software Startups: The SaaS Platform Dilemma
Build your own slide rule with R
The Indispensable Guide to Chart Design and Data Visualization [PART 1]
The CIO Diaries – Bridging the Gap to LBOs
7 Important Types of Big Data

Physicist and weather scientist Joe Wheatley used R to design and create a useful visual representation of how drought affects a region over long time-scales. Instead of charting absolute rainfall (or lack thereof), he instead charts the Standardized Precipitation Index (SPI), where extreme values (above 2 or below -2) indicate extreme wetness or dryness compared to the usual precipitation in that region. He then charts the SPI over time using colors to indicate extreme SPI values: red means dry, blue means wet. Here’s the chart for the Murray Darling basin, an important agricultural zone in Australia (click to enlarge):

Australia-drought
That region suffered a drought from 2002-2007, and the chart makes plain that it was the most severe drought event in 60 years. The R code used to normalize the data (by transforming to a shifted Gamma distribution) and create the chart can be found here.

Biospherica Earth Vegetation: Visualizing Drought (via @josephwheatley)

Link to original post

TAGGED:data visualizationr
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

protecting patient data
How to Protect Psychotherapy Data in a Digital Practice
Big Data Exclusive Security
data analytics
How Data Analytics Can Help You Construct A Financial Weather Map
Analytics Exclusive Infographic
AI use in payment methods
AI Shows How Payment Delays Disrupt Your Business
Artificial Intelligence Exclusive Infographic
financial analytics
Financial Analytics Shows The Hidden Cost Of Not Switching Systems
Analytics Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

data visualization trends 2022
Data Visualization

Biggest Trends in Data Visualization Taking Shape in 2022

8 Min Read

Why Business Intelligence Software Is Failing Business

10 Min Read

CRAN R 2.9.0 now available

2 Min Read

Find yourself a safer place to swim or fish in the Bay Area

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?