Global Mapper Pro v23.0 Beta Update!
The Beta for v23 and Global Mapper Pro is Updated! You will have access to the beta release starting today with a license that is valid until September 15, 2021. You can contact the Blue Marble testing team by email at firstname.lastname@example.org with questions or concerns.
Follow the link below to download a copy of v23 and Global Mapper Pro with the beta license:
Below is a list of the new features implemented in Global Mapper v23. Please read the list carefully as some of the items include special instructions and requests.
Release Notes for Global Mapper Pro 23.0 Beta:
Curvature Grid Creation **NEW
In the Analysis Menu a new option for Create Curvature Grid from Terrain Layers has been added that includes 5 methods to choose from
Vector Feature Classification Method **NEW
In the Right click Layer Options menu, in the Styles tab under Apply Styling Based on Attribute/Name Values we have added a classify button. This Opens our new Classify Vector Features menu
Support for in-app Script writing and editing
Go to File>Run Script to open your Global Mapper script in the Editor
Go to File>Open Script Editor to begin with a blank Editing Field
Support for Python Scripting **See Starred Section below for Installation instructions
Go to> File>Run Script and select your .py file
Go to File>Open Script Editor to begin writing your Python Script in the app
External Python script functionality **NEW -Users with a Pro license (included in beta), and with Python installed as required, can write and run Python scripts for Global Mapper outside of Global Mapper
Spatial Operations Updates
Lines and Points are now included in Spatial Operations
Predicates now have options for adding or removing results to a selection rather than making a new layer. Which can be found in the Predicates dropdown in the Results section of the Spatial Operations Dialog.
New Scripting Syntax for isolating Valid or Invalid Features: valid( <feature collection> ) and invalid( <feature collection> )
New Scripting Syntax for optional results[ ] parameter(s): result-specifier --> 'results' feature-filter, feature-filter --> '[' feature-type-list ']', feature-type-list --> feature-type [ ',' feature-type* ], feature-type --> 'points' | 'lines' | 'areas'
New Scripting Syntax for creating a new layer from the current selection: 'selection-function' --> selection | selection '[' feature-filter ']', feature-filter --> '[' feature-type-list ']', feature-type-list --> feature-type [ ',' feature-type* ], feature-type --> 'points' | 'lines' | 'areas'
New Advanced Feature Creation option to create Points at intersection of Areas/Lines. Right click selected features > go to Advanced Feature Creation Options > Create Points at Intersections of Area/Line Features
Building / Vegetation Auto-Classification Algorithm Improvements
Run the Auto Classification and Extraction from the Lidar toolbar and let us know if your results are improved
Some settings have been made redundant by the Algorithm Improvements and have been removed from the dialogs
New Lidar Segmentation tool now available on the Automatic Lidar Toolbar (Button is placeholder)
The Segmentation Algorithms that run behind the scenes in our Auto Classification tool are now exposed. Fine tune your segmentation to fit your lidar data set.
Attribute settings for Segmentation are weighted for more accurate results
Segments can be displayed by selecting Segment from the Lidar Draw Mode Dropdown
Segments are selectable for easy manual classification. Use the Segment Selection mode for the Digitizer. Simply activate the mode using the button next to the Segmentation tool, or Select a point in the segment you want>Right click>Advanced Selection Options>Select all Lidar Returns in Selected Segment(s)
New Create Area Feature from raster data with Smooth and Simplify
Using color information or Slope of raster terrain, this tool can extract vector features from raster data, plus it smooths, and simplifies
Go to the Layer file menu>Create Area Features with Smooth, Simplify
New RTK and NTRIP Client Support
Use the new built-in NTRIP Client to connect directly to your correction source for RTK enabled units. Specify your source connection parameters in the RTK section of the GPS Setup window to connect. Once connected, corrections will be sent to your device via RTCM. The device will then send the corrected location information back via NMEA. This can be done either wired or via Bluetooth, depending on your device. If you're using a Bluetooth device you may need to confirm it's COM port in Windows Bluetooth settings
Automatic Breakline Extraction From Terrain
This tool Can be found in the Analysis menu>Generate Breaklines (from Terrain Grid)
This tool would benefit from testing against a variety of terrain data. Customers are encouraged to contact the Beta Team with any data that presents a challenge for this tool
New 3D labels
Labels created on a Label Layer in Global Mapper can now be viewed in 3D. To convert labels to a Label Layer simply Right Click your data layer and select Layer>Create Label Layer
To Turn on the 3D label functionality, go to Configuration>3D View Properties>Data Display and check the box for Show 3D Labels
Use Control Z to undo multiple levels of progress across a multitude of tools in Global Mapper
Use the Manage Undo/Redo menu found in the Edit dropdown to see your list of recent operations and adjust your Undo settings
**Python Installation for Global Mapper
Install python Version 3.9 https://www.python.org/downloads/windows/
Set the path. Use the Windows search bar and enter “Environmental variables” Select the option Edit the System Environment Variables
On the System Properties Window select Environment Variables
On the Environment Variables Window Find the Variable named Path, Select Path and choose Edit
If you have reported an issue to our Support Team in an earlier version of Global Mapper, please attempt to reproduce your error.
Reporting an Error
If you encounter any errors, please contact email@example.com and include the following information:
Description of the error/undesirable behavior
Workflow to reproduce the error
Data used (or sample/dummy data in the case of any proprietary datasets)
Report error messages with as much available text as can be copied, or a screenshot.
Your participation is greatly appreciated. Thank you for continuing to help improve Global Mapper.
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