Terms Of Reference (TOR) for Individual Consultant (IC) – GIS Support Expert

TERMS OF REFERENCE (TOR)

INDIVIDUAL CONSULTANT (IC) – GIS SUPPORT EXPERT

TRAINING OF GEOGRAPHIC INFORMATION SYSTEM (GIS) AND REMOTE SENSING FOR SOMALIA RESILIENCE PARTNERS MEMBERS IN BANADIR REGION.

NOVEMBER 13, 2022

Project/Program Title: Resilience Learning Activity – Somalia

PROGRAM OVERVIEW/BACKGROUND

The Resilience Learning Activity Somalia (RLA-S) is a USAID-funded collaborative platform that formed the Somali Resilience Partnership (SRP) as a secretariat and evidence-based entity that fosters collaboration and co-creation between implementing partners of USAID and other donors e.g. Foreign Commonwealth Development Organization (FCDO) and Swedish Development Cooperation (SDC). The coordination between these donors is used to inform and leverage resilience and humanitarian activities by applying USAID’s collaboration, learning, and adapting (CLA) principles together, with an emphasis on providing opportunities at a granular level using sequencing, layering, and integration (SLI) approaches for implementation.

RLA’s Somalia-focused activities will be led by Mercy Corps under the platform of the Somalia resilience partnership forum. The Somalia context presents a unique set of challenges and opportunities. The prevailing aid architecture, which distinguishes between humanitarian and development funding, has not optimally incentivized or facilitated CLA across actors and funding streams for sustained reductions in humanitarian needs. The global community has awoken to the reality that a new way of working is required; however, the “how” of individual and collective action that will deliver lasting impact in protracted complex crises like Somalia remains largely elusive. The Baidoa Resilience Partnership, launched in 2018 by USAID under Africa Lead, positioned USAID as a thought leader in this space, promoting resilience as a collective imperative in complex crises—one that transcends traditional funding, program, and sector silos. RLA will leverage this initial investment, driving clarity in concept and collaboration in learning for resilience within and across diverse actors, in the collective pursuit of a vision for Somalia of improved and enduring peace and well-being

Facilitating demand-driven capacity-building opportunities is a top priority for the RLA program. The Resilience Learning Activity (RLA) maps SRP intervention bi-annually. Having realized the inconsistency and inaccuracy of the GIS data that the partners submitted, falling off the boundary of the area of SRP operation and resulting in inaccurate GPS capturing technique. RLA is planning to source GIS experts and trainer (s) to support the SRP member representatives to train them by conducting GIS training at both basic and advanced levels in two intervals aimed to avoid the same data-related basic mistakes in our upcoming mapping

exercises and therefore will use the harmonized approach in SRP mapping activities and data collection.

TRAINING OBJECTIVES

The overall objective of this training is to improve knowledge of partners on the use GIS as tool for collaboration, decision-making and program management. Specific objectives this training include:

1. Introduce basic GIS principles and concepts as well as familiarize participants with QGIS software features
2. Improving GPS data collection especially map data projections, coordinate systems using publicly available applications compatible with major brands of mobile phones
3. Introduce GIS data formats and processing to produce basic project maps as well as interactive map for public display.
4. Gain experience in data preparation, layout development, map creation and high-quality products delivery
5. Provide hands-on experience on use of QGIS software features to process basic GIS data, visualize and share to enhance program decision making

ACTIVITY

Specific learning activities:

Beginner level- maximum timeline 4 days:

The GIS expert is expected to effectively deliver the below training/ learning outcome activities at the beginner level of the training session: -

1. Course Introduction

1. Preparing Exercise Data
2. Module: The Interface

1. Lesson: A Brief Introduction
2. Lesson: Adding your first layer
3. Lesson: An Overview of the Interface
4. Module: Creating a Basic Map
5. Lesson: Working with Vector Data
6. Lesson: Symbology
7. Module: Classifying Vector Data
8. Lesson: Attribute Data
9. Lesson: The Label Tool
10. Lesson: Classification
11. Module: Creating Maps

1. Lesson: Using Print Layout
2. Lesson: Creating a Dynamic Print Layout
3. Module: Creating Vector Data
4. Lesson: Creating a New Vector Dataset
5. Lesson: Feature Topology
6. Lesson: Forms
7. Lesson: Actions

2nd Level (Advanced Level): Period 3 days

Expected training outcomes for level two of the training included:

1. Module: Vector Analysis
   1. Lesson: Re-projecting and Transforming Data
   2. Lesson: Vector Analysis
   3. Lesson: Network Analysis
   4. Lesson: Spatial Statistics
   5. Lesson: Working with Raster Data
   6. Lesson: Changing Raster Symbology
   7. Lesson: Terrain Analysis

1. Module: Completing the Analysis
   1. Lesson: Raster to Vector Conversion Lesson: Combining the Analyses
   2. Assignment
   3. Lesson: Supplementary Exercise
2. Module: Plugins
   1. Lesson: Installing and Managing Plugins
   2. Lesson: Useful QGIS Plugins

METHODOLOGIES

• The trainer should use power and formal learning through physical.
• Use of presentations and images for training
• Doing practical raw data sampling/ collection and creating visual maps

Training Facilities

The following is a list of the equipment and facilities preparation that will be required for training sessions:

1. A trainer computer, with an internet connection
2. a computer for each learner (for hands-on systems training)
3. QGIS to be freely installed on the computers (from experts)

Training Audience:

The training participants will be drawn-out from the SRP representatives and targets a team of humanitarian practitioners who hold mixed roles in the NGOs such included:

1. Project Managers
2. Monitoring, Evaluation, and Learning Staff.
3. Database Staff
4. Field Program staff (data collectors/ assistants)

DELIVERABLES

• Training Manual

• Training participants for the period of 7 days (4 days then will break for a week and resume 3 days )

• Preparing of training report and other required materials with photos capturing the training session
• Providing training certificates to the participants

• Conducting posts and pretests and sharing the analysis
• Using of practically plat or application during the training sessions
• Downloaded the ArcGIS software and installation into the laptops/computers of the participants (the willingness/the ICT protocol of the participants will be considered)

SRP is seeking a candidate with a strong technical background, who has previous experience working & Training people in GIS and Remote Sensing. More specifically, the candidate should have experience in developing visualized maps, QGIS software, and the analysis of satellite imagery with different spatial and spectral resolutions for the purposes of environmental monitoring, particularly the assessment of shocks (flood, drought) and environmental degradation. The candidate should understand concepts of cartographic design and be experienced in the presentation of the results of spatial analysis using static and interactive mapping products. Ideally, the successful candidate will also be familiar with the collection and processing of socio-economic data as part of coaching the training participants

REQUIREMENTS.

1. Academic: Excellent academic qualifications, preferably including a master’s degree related to GIS, Remote Sensing, Data Science, Geography, or Environmental disciplines.
2. Theoretical knowledge: Sound foundational knowledge of QGIS and remote sensing, including theory, principles, practice, and application. Expands and maintains knowledge in the field through literature.
3. Software skills: Advanced knowledge of Google Earth Engine; advanced knowledge of GIS software (ArcPro, ArcGIS Online, QGIS); advanced knowledge of Microsoft Office including Excel; knowledge of R, STATA, Python or equivalent statistical software an advantage; knowledge of Adobe Suite, particularly InDesign and Illustrator an asset.

TIMELINE OF THE TRAINING.

The training will be starting through three (3) days of basic training and then will advance for 4 days to sum up a total of 7 days of training in two different phases in 2022. ( It is revisable)

Qualified and interested candidates are requested to submit these documents:

1. Personal CV: indicating all experience from similar projects, as well as the contact details (email and telephone number) of the Candidate and at least three (3) professional references
2. Links of the resources: Outlining the methodology and overall understating of the assignment’s content and scope of work required to achieve desired outcomes.
3. Daily consultancy fees: indicate the daily consultancy fees that are all-inclusive Deliverables. The terms “all-inclusive” implies that all costs (professional Fees, local travel costs, software cost, etc.)

Submit offer to ([email protected])