Public repository for custom blocks for Omniscope 2019+.
The blocks added here will be available to install in the block picker of Omniscope.
List of blocks
|Flightstats Airports (R)
||Flightstats Airlines (R)
||Flightstats Flights (R)
|Overpass Street Coordinates (Python)
|Fuzzy Join (R)
||Inequality Join (R)
||Gaussian Mixture Model (R)
|Attribute Analysis (R)
||Relationship Analysis (R)
||Support Vector Machine Prediction (Python)
- Flightstats Airports
- Flightstats Airlines
- Flightstats Flights
- Overpass Street Coordinates
- Fuzzy Join
- Inequality Join
- Clustering 1. DBScan (R) 2. DBScan (Python) 3. KMeans 4. GMM
- Prediction 1. K-Nearest-Neighbours 2. Support Vector Machine Prediction
- Network analysis 1. Attribute Analysis 2. Relationship Analysis
How to create a new block
Create a directory under one of the main sections that specifies the general area of what the block does. Create then a subdirectory specifying the language the block works in, which is either R, Python2 or Python3. In a last step, create the directory which contains your block's data. Add three files: The source code of the block, a README.md file containing a description and a thumbnail.png visualising what the block does. The source code should be reasonably documented and potentially contain sections to describe input fields and parameters.