Spatial Analysis Training in Guatemala

ArcGIS Professional Plus is an advanced version of ArcGIS Pro, offering extended features for geospatial data analysis, 3D modeling, automation, and enterprise collaboration.

This instructor-led, live training (online or onsite) is aimed at intermediate-level GIS professionals who wish to deepen their skills in spatial data analysis, automation, and sharing using ArcGIS Professional Plus tools.

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

• Leverage ArcGIS Pro Plus tools for data visualization and analysis.
• Create 2D and 3D maps with advanced symbology and geoprocessing techniques.
• Automate workflows using ModelBuilder and Python scripting.
• Integrate ArcGIS with external data services and enterprise systems.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Guatemala (online or onsite) is aimed at beginner-level to advanced-level GIS professionals and analysts who wish to learn how to effectively use ArcGIS for data visualization, spatial analysis, and geospatial project management.

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

• Navigate and utilize ArcGIS tools for geospatial data management.
• Create and customize maps with layers and attributes.
• Perform advanced spatial analysis and geoprocessing tasks.
• Automate workflows using ModelBuilder and Python.

This instructor-led, live training in Guatemala (online or onsite) 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 Guatemala (online or onsite) is aimed at beginner-level IT support personnel who wish to provide robust support for ArcGIS Enterprise, addressing any anomalies or failures effectively.

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

• Understand the architecture and components of ArcGIS Enterprise.
• Learn to install, configure, and manage ArcGIS Enterprise.
• Gain skills in troubleshooting and resolving common issues.
• Develop proficiency in monitoring and maintaining ArcGIS Enterprise environments.
• Master the techniques for backup, recovery, and performance optimization.

This instructor-led, live training in Guatemala (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 Guatemala (online or onsite) is aimed at beginner-level earth sciences and engineering professionals who wish to use Python for geospatial analysis in both ArcGIS and QGIS environments.

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

• Learn Python syntax and control structures for executing geospatial tasks efficiently.
• Use Pandas, Numpy, and Matplotlib for data analysis and visualization in GIS.
• Manipulate and analyze vector data with Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows using Python scripting in ArcGIS and QGIS.
• Develop custom Python-based geoprocessing tools for ArcGIS and QGIS to streamline tasks.

This instructor-led, live training in Guatemala (online or onsite) is aimed at intermediate-level geographers who wish to deepen their expertise in spatial analysis, data management, and GIS applications.

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

• Apply advanced spatial analysis techniques to solve complex geographical problems.
• Manage large spatial databases and perform data quality control.
• Create dynamic and interactive maps and visualizations for various applications.
• Utilize programming and automation to streamline GIS workflows.

Pix4D Matic and Pix4D Survey are advanced photogrammetry and geospatial data tools used for high-accuracy mapping, terrain modeling, and analysis.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level geospatial professionals who wish to process, analyze, and extract actionable information from drone data using Pix4D Matic and Pix4D Survey.

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

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

Format of the Course

• Interactive lecture and discussion.
• Hands-on processing using real-world datasets.
• Guided project work and interpretation of outputs.

Course Customization Options

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

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

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

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

Upon completion of this training, participants will be able to:
• Process and analyze satellite images for conservation and environmental monitoring applications.
• Manage spatial data structurally using geodatabases in ArcGIS Pro.
• Consolidate an institutional repository of geospatial information following best practices.
• Apply Artificial Intelligence tools and advanced analysis features in ArcGIS Pro for remote sensing.
• Integrate efficient workflows for spatial analysis and geographic data management.

In the evolving energy sector, the integration of electrical transient analysis with precise geographic data is a strategic necessity. Currently, reliance on fragmented data leads to significant operational risks. This 14-day intensive program in Melbourne is designed to bridge the gap between electrical engineering and geospatial management.

A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics.

QGIS functions as geographic information system (GIS) software, allowing users to analyze and edit spatial information, in addition to composing and exporting graphical maps. QGIS supports both raster and vector layers; vector data is stored as either point, line, or polygon features. Multiple formats of raster images are supported, and the software can georeference images. To summarize it allows the users to Create, edit, visualise, analyse and publish geospatial information on Windows, Mac, Linux, BSD.

This program, in its first phase, introduces the QGIS interface for general usage. In the second phase, we introduce PyQGIS - the python libraries of QGIS that allows the integration of GIS functionalities in your python code or your python application, so that you may even create your own Python Plugin around a particular GIS functionality.