Spatial Analysis Training in Gaia

ArcGIS Professional Plus represents an advanced iteration of ArcGIS Pro, delivering extended capabilities for geospatial data analysis, 3D modelling, automation, and enterprise collaboration.

This instructor-led live training, available online or onsite, is designed for intermediate-level GIS professionals seeking to enhance their proficiency in spatial data analysis, automation, and sharing through ArcGIS Professional Plus tools.

Upon completion of this training, participants will be able to:

• Utilise ArcGIS Pro Plus tools for effective data visualisation and analysis.
• Produce 2D and 3D maps employing advanced symbology and geoprocessing techniques.
• Automate workflows using ModelBuilder and Python scripting.
• Integrate ArcGIS with external data services and enterprise systems.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Practical implementation within a live-lab environment.

Course Customisation Options

• To arrange a bespoke training session for this course, please contact us.

This instructor-led, live training in Gaia (online or onsite) is tailored for GIS professionals and analysts ranging from beginner to advanced proficiency. Participants will learn how to leverage ArcGIS effectively for data visualization, spatial analysis, and the management of geospatial projects.

Upon completion of this training, participants will be equipped to:

• Navigate and utilise ArcGIS tools for the management of geospatial data.
• Design and customise maps incorporating layers and attributes.
• Execute advanced spatial analysis and geoprocessing tasks.
• Automate workflows through the use of ModelBuilder and Python.

This instructor-led, live training in Gaia (available online or on-site) is aimed at advanced-level GIS professionals who wish to use ArcGIS Pro to enhance their spatial analysis capabilities, conduct comprehensive geostatistical analysis, and apply advanced 3D modeling techniques for more effective decision-making and problem-solving in real-world scenarios.

By the end of this training, participants will be able to:

• Develop advanced skills in spatial analysis techniques using ArcGIS Pro.
• Utilize Python scripting for automation and complex data processing.
• Apply spatial modeling for problem-solving in real-world scenarios.
• Conduct geostatistical analysis for advanced data interpretation.
• Integrate external data sources and leverage 3D spatial data analysis.

This instructor-led live training in Gaia (online or onsite) is intended for beginner-level IT support personnel seeking to deliver high-quality support for ArcGIS Enterprise, including the effective resolution of technical faults.

By the end of this training, participants will be able to:

• Comprehend the architecture and core components of ArcGIS Enterprise.
• Acquire the ability to install, configure, and manage ArcGIS Enterprise.
• Develop troubleshooting skills to address common technical issues.
• Enhance proficiency in monitoring and maintaining ArcGIS Enterprise ecosystems.
• Master essential techniques for backup, recovery, and performance optimization.

This instructor-led, live training in Gaia (online or onsite) is aimed at beginner-level professionals who wish to learn the fundamental concepts and tools of ArcGIS.

By the end of this training, participants will be able to:

• Understand the basic concepts of GIS and spatial data.
• Navigate the ArcGIS interface.
• Create and manage spatial data.
• Perform basic spatial analysis.
• Create maps and visualizations.

This instructor-led, live training in Gaia (online or onsite) is designed for beginner-level professionals in earth sciences and engineering who aim to leverage Python for geospatial analysis in ArcGIS and QGIS environments.

Upon completion of this training, participants will be able to:

• Master Python syntax and control structures to execute geospatial tasks efficiently.
• Apply Pandas, Numpy, and Matplotlib for data analysis and visualization within GIS contexts.
• Manipulate and analyze vector data using the Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows through Python scripting in ArcGIS and QGIS.
• Create custom Python-based geoprocessing tools for ArcGIS and QGIS to optimize tasks.

This instructor-led, live training in Gaia (online or onsite) is designed for geographers at an intermediate level who aim to expand their proficiency in spatial analysis, data management, and practical GIS applications.

Upon completion of this training, participants will be capable of:

• Employing advanced spatial analysis methods to address intricate geographical challenges.
• Overseeing extensive spatial databases and conducting rigorous data quality checks.
• Developing dynamic, interactive maps and visualizations for diverse use cases.
• Leveraging programming and automation to optimize GIS workflows.

Pix4D Matic and Pix4D Survey are sophisticated photogrammetry and geospatial data solutions designed for high-precision mapping, terrain modelling, and analytical processing.

This instructor-led training, available online or onsite, targets beginner to intermediate geospatial professionals seeking to process, analyse, and derive actionable insights from drone-collected data using Pix4D Matic and Pix4D Survey.

Upon completion of this training, participants will be able to:

• Process large-scale photogrammetry projects using Pix4D Matic.
• Generate orthophotos, digital terrain models, and contour lines.
• Utilise Pix4D Survey to clean and vectorise point cloud data.
• Extract and export relevant geospatial deliverables for geological or civil engineering analysis.

Course Format

• Interactive lectures and discussions.
• Practical exercises using real-world datasets.
• Guided project work with interpretation of outputs.

Customization Options

• To request customized training for this course, please contact us to arrange your session.

This instructor-led, live training in Gaia (online or onsite) is aimed at field ecologists and conservation managers who wish to create spatial data projects in ArcGIS.

By the end of this training, participants will be able to:

• Output spatial data as visualizations.
• Conduct geostatistics on actual data.
• Implement spatial data analysis, data processing, and mapping with ArcGIS.
• Analyze spatial data for projects in ArcGIS.

In the dynamic energy industry, combining electrical transient analysis with accurate geospatial data has become a critical strategic requirement. At present, depending on disjointed data sources introduces substantial operational risks. This intensive 14-day programme in Melbourne aims to bridge the divide between electrical engineering principles and geospatial management.

A Geographic Information System (GIS) is a framework built to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The term GIS is occasionally employed to denote Geographic Information Science (GIScience), which refers to the academic discipline investigating geographic information systems and constitutes a significant subfield within the broader domain of geoinformatics.

QGIS operates as GIS software, enabling users to analyze and edit spatial information, as well as compose and export graphical maps. It supports both raster and vector layers; vector data is preserved as point, line, or polygon features. The software accommodates various raster image formats and can georeference images. In summary, it empowers users to create, edit, visualize, analyze, and publish geospatial information across Windows, Mac, Linux, and BSD platforms.

In the initial phase, this course introduces the QGIS interface for general use. During the second phase, we cover PyQGIS—the Python libraries of QGIS that facilitate the integration of GIS functionalities into your Python code or applications. This knowledge allows you to develop your own Python Plugins tailored to specific GIS functionalities.