Mppng Point Labeler is an add-in for Manifold. It helps you to position your labels in order to create better looking maps. Manifold has limited point labeling possibilities. Mppng Point Labeler gives you additional tools to quickly put your labels on the map while minimizing the number of overlaps.
Mppng Point Labeler requires a valid copy of Manifold 8.0.29 or later. Only the latest version (8.0.29 at the time of this writing) is officially supported.
Download the latest version, create a folder called "Add-ins" in your Manifold config folder and unzip the contents of the zip file here.
Typically your config folder should look like this: <drive letter:><path to manifold config>\Add-ins\PointLabeler.
The folder should contain the following files:
The .dll files contain the code for the labeling engine, the .png file holds the icon as shown in Manifold and the latter gives Manifold
information about the add-in so that it can be used properly. In case your directory structure is different from the description above,
the XML-file requires some changes.
Change the two paths to match your situation, e.g.:
could change to:
<icon>your subdirectory\PointLabeler\PointLabeler.png</icon> <form>your subdirectory\PointLabeler\PointFeatureLabeler.dll;Mppng_PointFeatureLabeler.Mppng_Pane</form>
If you launch a new instance of Manifold, you'll find the add-in under Tools | Add-Ins. If you click on Mppng Point Labeler you
will see the Mppng Point Labeler's interface.
Ad 1. Mppng Point Labeler is a point labeler. It does not operate on labels that belong to a line element. Therefore only label components that do NOT contain any line element appear in the Label Component dropdownbox. Drawings with polygones are supported because their labels behave as point labels where the centroid plays the role of the point.
Ad 2. Mppng Point Labeler provides 4 algorithms for positioning the labels, and 5 pseudo-algorithms. There is no algorithm that can be qualified as the best. It depends on the dataset. An algorithm that works well in one situation, might perform badly with another dataset. Try different algorithms each time and check which one works best for your specific situation.
Ad 3. Choose wether you want to apply the algorithm to operate on all labels, or to selected labels only.
Ad 5. Because the labeling procedure depends on the scale were looking at, it is required to have either the label component we want to modify open as the active document, or a map component that contains the label component. In case we want the algorithm to operate on multiple label components, an opened map component that contains all label components is required.
In some cases the add-in can not figure out that the correct map or label component is already active. In such a case, close and reopen the map or label component.
Ad 6. After pressing "Start" you will be able to interrupt the proces in case it takes too much time.
Ad 7. The results of multiple labeling actions are logged. You can see which label components were involved, which algorithm was used, the scope of the action, the total number of labels involved, the number of labels that were labeled correctly (i.e. without overlap), the number of labels that were not labeled correctly (i.e. with overlap), the success rate (defined as the number of correctly labeled fetures divided by the total number of labels) and the time needed to execute the algorithm (in milliseconds).
To clear the log textbox press the button with the Bin at the top right.
The demo version has the following limitations.
The full version in available for € 89,-. Press the "Buy full version" link at the bottom of the add-in to make a payment by PayPal and you will receive and activation key as soon as possible.
No questions so far. ;-)
You can contact me here.
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