Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by LSE Film and Audio Team, London School of Economics, and Political Science. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by LSE Film and Audio Team, London School of Economics, and Political Science or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Seeing the unseen: combining data to better understand our environment

1:30:07
 
Share
 

Manage episode 517491776 series 30146
Content provided by LSE Film and Audio Team, London School of Economics, and Political Science. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by LSE Film and Audio Team, London School of Economics, and Political Science or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Contributor(s): Professor Claire Miller, Dr Sefi Roth | Join us as the University of Glasgow’s Claire Miller explores the statistical and data analytics approaches being developed to successfully bring different data sources together to improve environmental planning and management. We now have the potential to access more data than ever before, which can help us to explore important, complex and increasingly pressing environmental issues. However, each source of data often has its own limitations, meaning there's often missing information from an individual data source. To get a more complete picture, we can combine data from different data sources. Considerable challenges exist in integrating the data in this way as the data can be recorded at different time points and/or in different spatial locations, can be large but also have gaps, and data sources can have varying levels of uncertainty, different data structures and types.
  continue reading

1624 episodes

Artwork
iconShare
 
Manage episode 517491776 series 30146
Content provided by LSE Film and Audio Team, London School of Economics, and Political Science. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by LSE Film and Audio Team, London School of Economics, and Political Science or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Contributor(s): Professor Claire Miller, Dr Sefi Roth | Join us as the University of Glasgow’s Claire Miller explores the statistical and data analytics approaches being developed to successfully bring different data sources together to improve environmental planning and management. We now have the potential to access more data than ever before, which can help us to explore important, complex and increasingly pressing environmental issues. However, each source of data often has its own limitations, meaning there's often missing information from an individual data source. To get a more complete picture, we can combine data from different data sources. Considerable challenges exist in integrating the data in this way as the data can be recorded at different time points and/or in different spatial locations, can be large but also have gaps, and data sources can have varying levels of uncertainty, different data structures and types.
  continue reading

1624 episodes

همه قسمت ها

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play