The LSCP model, location set covering problem (LSCP), aims to cover all demand points within a threshold distance.
The input table should contain the two types of columns: distance matrix to candidate facilities, and optionally a column for distance to closest required facilities.
The LSCP problem will be solved by PuLP package.
The node is based on the package PuLP and here are related tools and references:
The columns representing the distance matrix between demand lcoation to candidate facilities.
The Column indicating distance to the closest required facility.
Desired threshold distance or cost.
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.
To use this node in KNIME, install the extension Geospatial Analytics Extension for KNIME from the below update site following our NodePit Product and Node Installation Guide:
A zipped version of the software site can be downloaded here.
Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.
Try NodePit Runner!Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.