GeolinQ
Spatial Data Management

Training

Training is available to support users to configure and use GeolinQ. The training explains the GeolinQ concepts and provides tutorials for hands-on training. A GeolinQ tenant is available for every student during the training that will be accessible till a month after the training. Contact us for more information. 

On-premise or Online

The training can be given on-premise as well as online. the on-premise training takes a full working day. Online the training is given in two half-day sessions.   

The training modules

The training explains the core concepts of GeolinQ and offers tutorials to experience the core functionality of the software. The training has a duration of one day and consists of the following four modules:  

Module 1: GeolinQ concepts

This module provides an overview of the GeolinQ functionality and underlying concepts required to start working with the solution efficiently. The following topics are covered in this module:    

  • Data management processes
  • Overview GeolinQ
  • Datasources
    • Datasets
    • Class definitions
  • Task management and processes
  • Import and export
    • Coordinate systems
  • Integration with views, unions and processes
  • Styling of datasets
  • Services
    • Applications and screens
  • Administration

Module 2: Point clouds and raster datasets

This module aims on data managers who import, model, integrate and export point clouds and raster datasets. The following topics are covered in this module:

  • Introduction point clouds and rasters
  • Class definitions
    • Data definitions
    • Metadata definitions
  • Point cloud and raster datasets
  • Import and export of point clouds and raster data
  • Create colour scales and profiles
  • Seamless Point Surface (SPS) concept and configuration
  • Create contours using point cloud and raster datsets
  • Configure map screens and map layers

Module 3: Features

After following this module data managers are able to import, edit, model, style and export feature datasets. The following topics are covered in this module:

  • Introduction feature data
  • Class definitions
    • Primary keys
    • Standard geometry
    • Domain lists
  • Feature datasets
  • Introduction of WFS datasources
  • Import and export features
  • Edit features
  • SLD Styling: import, edit and export styles
  • Intersection of datasets
  • Introduction of views and pivot tables

Module 4: Distribution

After following this module data managers are able to publish datasets to end-users using maps and web services. The following topics are covered in this module: 

  • Introduction distribution and services
  • Configure WMS services
  • Introduction of WFS and WFS-T services
  • Configure an application service
    • Manage and edit data in a map screen
    • Introduction application screens
    • Manage and edit data in a list and form screen
  • Introduction of REST and SOAP Services