Module 1: Fundamentals of GIS

• Definition and history of GIS.
• Components of a GIS: Hardware, software, data, people, methods.
• Types of geographical data: Spatial and attribute data.
• Data models: Vector (points, lines, polygons) and Raster.
• Understanding coordinate systems and projections.
• Practical session: Introduction to a GIS software interface and exploring sample spatial data layers.

Module 2: Introduction to GIS Software Interface

• Navigating the GIS software environment (e.g., QGIS, ArcGIS).
• Understanding the main menus, toolbars, and panels.
• Managing layers: Adding, removing, reordering, and symbolizing layers.
• Exploring attribute tables and understanding data relationships.
• Using basic measurement tools (distance, area).
• Practical session: Navigating the software, adding and symbolizing various vector and raster datasets.

Module 3: Working with Spatial Data

• Data sources for GIS: Public datasets, GPS, remote sensing, existing maps.
• Importing and exporting various GIS data formats (Shapefiles, GeoJSON, KML, TIFF).
• Understanding metadata and its importance.
• Organizing spatial data within a project.
• Basic data management techniques: Renaming, copying, deleting layers.
• Practical session: Importing data from different sources and managing them within a GIS project.

Module 4: Georeferencing and Data Transformation

• Concepts of georeferencing: Aligning non-spatial data with geographic coordinates.
• Methods for georeferencing scanned maps and images.
• Understanding control points and transformation types.
• Reprojecting spatial data: Changing coordinate systems.
• Practical applications of georeferencing for legacy data.
• Practical session: Georeferencing a scanned map or aerial image within the GIS software.

Module 5: Data Editing and Digitization

• Introduction to data editing tools in GIS.
• Creating new vector features (points, lines, polygons).
• Digitizing features from satellite imagery or base maps.
• Editing existing features: Splitting, merging, reshaping.
• Attribute data entry and management during digitization.
• Practical session: Digitizing features from a base map or satellite image and populating their attributes.

Module 6: Performing Spatial Queries and Selections

• Understanding attribute queries: Selecting features based on tabular data.
• Performing spatial queries: Selecting features based on their location relative to others.
• Types of spatial selection methods: Intersect, contains, within a distance.
• Combining attribute and spatial queries for advanced selections.
• Exporting selected features to new layers.
• Practical session: Performing various attribute and spatial queries to extract specific features from a dataset.

Module 7: Basic Spatial Analysis

• Overlay analysis: Intersect, Union, Erase.
• Buffering: Creating zones around features.
• Dissolving features based on attributes.
• Clipping and merging spatial datasets.
• Calculating geometric properties (area, length, perimeter).
• Practical session: Applying basic spatial analysis tools like buffer and clip on sample datasets.

Module 8: Cartography and Map Production

• Principles of effective map design: Layout, symbology, labels, legend.
• Choosing appropriate map projections for different purposes.
• Adding map elements: Title, scale bar, north arrow, graticule/grid.
• Creating professional map layouts for printing or digital output.
• Exporting maps in various formats (PDF, JPEG, etc.).
• Practical session: Designing and producing a high-quality map showcasing analyzed spatial data.

Module 9: Introduction to Remote Sensing and GIS Integration

• Brief overview of remote sensing concepts: Satellites, imagery, applications.
• How remote sensing data is used in GIS.
• Integrating satellite imagery into GIS for visualization and analysis.
• Basic image interpretation for mapping purposes.
• Understanding the synergy between remote sensing and GIS.
• Practical session: Adding satellite imagery to a GIS project and performing basic visual interpretation.

Module 10: Project Work and Best Practices

• Review of all learned GIS concepts and techniques.
• Guided project work: Applying skills to a real-world dataset and problem.
• Data preparation, analysis, and map production for the project.
• Discussion on GIS data management best practices.
• Tips for continuing GIS learning and resources.

• Practical session: Completing an end-to-end GIS project, from data loading to final map output, integrating all learned modules.

Requirements:

·       Participants should be reasonably proficient in English.

·       Applicants must live up to Armstrong Global Institute admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@armstrongglobalinstitute.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@armstrongglobalinstitute.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588