radR is a user-supported, open source project which aims to improve and broaden the use
of radars in biological research, by providing a convenient reference platform for:

generating, visualizing, and sharing feature-level datasets from raw radar data
developing, testing and publishing new algorithms
evaluating and comparing radar hardware

radR is hardware neutral - it interacts with proprietary radar digitization cards via their client libraries

radR uses straightforward documented statistical techniques for all processing steps

radR is multiplatform - with versions for Windows and Linux operating systems

radR uses a portable GUI - the interface is coded in R using the tcl/tk package

radR offers separation of GUI and data processing - the graphical interface layer is cleanly separated from the processing layer, allowing for batch processing

radR is not a replacement for commercial real-time software

radR is not a free-standing program - it is a layer atop the R statistical programming package, which provides a rich extension language and a broad spectrum of statistical tools

radR is not vendor-specific - we aim to support the user's choice of hardware

radR will not solve all of your data problems out-of-the-box - it is meant to make it easier for you to reproduce other people's methods and to develop your own

Please do not use radR for navigation or air traffic control!

Visit Radar concepts, as understood by radR to learn more about basic radar concepts.

For new users who want to jump right in, visit FAQ to get started.

Version from 13:37, 14 Mar 2012

This revision modified by beth (Ban)

radR is a user-supported, open source project which aims to improve and broaden the use
of radars in biological research, by providing a convenient reference platform for:

generating, visualizing, and sharing feature-level datasets from raw radar data
developing, testing and publishing new algorithms
evaluating and comparing radar hardware

radR is hardware neutral - it interacts with proprietary radar digitization cards via their client libraries

radR uses straightforward documented statistical techniques for all processing steps

radR is multiplatform - with versions for Windows and Linux operating systems

radR uses a portable GUI - the interface is coded in R using the tcl/tk package

radR offers separation of GUI and data processing - the graphical interface layer is cleanly separated from the processing layer, allowing for batch processing

radR is not a replacement for commercial real-time software

radR is not a free-standing program - it is a layer atop the R statistical programming package,
which provides a rich extension language and a broad spectrum of statistical tools

radR is not vendor-specific - we aim to support the user's choice of hardware

radR will not solve all of your data problems out-of-the-box - it is meant to make it easier
for you to reproduce other people's methods and to develop your own

Please do not use radR for navigation or air traffic control!

Visit Radar concepts, as understood by radR to learn more about basic radar concepts.

For new users who want to jump right in, visit FAQ to get started.

Version as of 13:38, 14 Mar 2012

This revision modified by beth (Ban)

radR is a user-supported, open source project which aims to improve and broaden the use
of radars in biological research, by providing a convenient reference platform for:

generating, visualizing, and sharing feature-level datasets from raw radar data
developing, testing and publishing new algorithms
evaluating and comparing radar hardware