Web based tool to extract data from plots, images, and maps
June 15, 2014
I had received some requests for a desktop deployment of WebPlotDigitizer and in the last few weeks, I had been exploring that possibility under a project name "DigitizationLab". After exploring many UI toolkits and programming languages, I have finally settled upon a Qt C++ code. It is still at a very initial stage, but I finally have some seed code that can be worked upon in the future. This project will also be distributed with an opensource license (GNU GPL Version 3) and is available on GitHub: https://github.com/ankitrohatgi/digitizationlab.
The aim is not just to recreate WebPlotDigitizer in a native application, but also to go beyond what is practically feasible in a web-based environment. Some possibilities that I can think of right now are as follows:
Since this is also worked upon in my spare time, this will not receive full attention until I see some genuine interest in the project. The web-based application will continue being the priority until then. If you believe that DigitizationLab is something you would be interested in or have some suggestions, then feel free to drop me an email (firstname.lastname@example.org) or post on the discussion forum.
Here's a screenshot of DigitizationLab under development:
June 11, 2014
I have started adding descriptions of a few interesting projects related to WebPlotDigitizer on the discussion forum. These projects are free to be picked up by anyone who wishes to contribute. Even partial contributions will be highly appreciated. Many of these do not require the intimate knowledge of the WebPlotDigitizer code. Look for the posts with [Available Project] in the subject line. If you find something interesting then drop a line in the forum or email me personally. Also, feel free to add to the existing discussions or start something new.
June 10, 2014
Thanks to Numeric.js, WebPlotDigitizer can now perform cubic spline interpolations between detected data points (3.3 beta). With this new capability, we can now extract data at definite X-values from XY plots with dashed or dotted lines. This can also be used to interpolate between data points or even smoothen noise in the data.
A new algorithm called "X Step w/ Interp." has been added into the Version 3.3 beta alongside the existing X Step and Averaging Window algorithms for data extraction. The "Width" parameter controls the degree of smoothing for the algorithm. The images below show the effect of changing the Width parameter from 0.1 to 2
This new algorithm works a lot better than the current X-Step algorithm and so this might completely replace the existing algorithm in the app. Also, with this addition, I am considering wrapping up version 3.3 features and focus on updating the user manual and tutorial videos.