This is a comprehensive ten days course designed to help participants learn and understand how to use GIS in projects Monitoring and Evaluation. The participants will be exposed to data collection, management, updating, analysis, visualization and reporting in a GIS environment. They will also learn how to integrate spatial and non-spatial data from different sources and displaying the same in a GIS environment.
At the end of the training, participants shall have learnt the following:
- Understanding and appreciating GIS, What it can do, and how others are using it in relation to M&E.
- Participants shall learn the basic functions of a GIS, GIS Terminology, and why GIS is powerful tool for data analysis, retrieval and visualization.
- In course exercises, students work with QGIS to visualize geographic data, create maps, query a GIS database, and perform spatial analysis in relation to M&E.
- The course shall provide a complete field to office mobile mapping workflow to the participants. Participants shall use their mobile devices to collect data, load the data into GIS and create maps from data collected.
- The course will enable the participants to also edit existing databases in the field and creating new data using field data collection techniques (Kobo Toolbox and ODK).
Fundamentals of GIS (Mapping and Spatial Analysis) using QGIS Trainings
This intensive course provides the foundation for: Understanding and appreciating GIS, What it can do, How others are using it.
Participants shall learn the basic functions of a GIS, GIS Terminology, and why GIS is powerful tool for data analysis, retrieval and visualization, Create maps, query a GIS database, and perform spatial analysis.
By the end of the training, participants can use their data to create maps, perform analysis, share information with their audience (colleagues, donors, government, non-GIS users etc)
Target Audience:
This course is for those who are new to geographic information systems (GIS) and wish to learn what GIS is and how one can use it in their area of specialization.
Course Content
Day 1 Introduction to GIS
GIS Data
GIS Data Acquisition Methods
Day 2 Introduction to QGIS
Introduction to GIS Maps
- Type of maps
- Use of maps
Day 3 GIS Data Management
Spatial Data Analysis
Day 4 Spatial Data Analysis
Day 5 Data Classification
Map Making
Course Recap
Advanced GIS (Managing Geodatabases & Advanced Spatial Analysis)using QGIS
Period: 5 Days
Course Outline:
Day 1
Spatial Data Preparation
- Elements of Spatial data
- Metadata
- Vector vs Raster data
Spatial data Storage
Methods of data storage
Introduction to geo-databases
Day 2:
Geo-Databases
- Types of geodatabase
- Data Access from Geodatabase
Data Relationships
- Joins
- Intersects
Day 3:
Advanced spatial Analysis
- Proximity Analysis
- Overlay Analysis
- Statistical Analysis
Data Symbology & Classification
- Layer Styles
- Data classes
Day 4:
Introduction to raster data
- Sources of Raster data
- Raster data analysis
- Overlay analysis
- Suitability Analysis
Day 5:
Analyzing spatial relationships
Sharing GIS Solutions
Course Recap
Course Conclusion
In these courses, the trainees will be provided with:
- Daily exercises will be done after the training for the day
- Power Point presentations for the day
- Written guides, where necessary
- 12 hrs support (During the day)
Web mapping is the process of using maps delivered by geographical information systems (GIS) on the internet through client- server architecture.
Web mapping usually involves a web browser to consume services.
These services include serving interactive maps, GIS data and location based services.
Participants will learn how to prepare and share geographic information so that it can effectively be used by colleagues, decision-makers, and non-GIS audiences.
The course will focus on:
– Web Mapping Technology,
– Web Mapping architecture, application and tools.
The goal of this training course is to introduce users to the concept of web mapping.
This course will cover the following topics
Day 1:
Web GIS Basics
Basics of Web GIS Architecture
Web Services and Mashups
An introduction / Review of ArcGIS Online
Day 2:
Basics of Web programing and development:
HTML, JavaScript and CSS.
Day 3:
Spatial Databases: Postgres-Postgis spatial database
Day 4:
Publishing map services on Geoserver
Day 5:
Consuming map services and sharing data:
Introduction to open source and proprietary web mapping API’s and scripting environments.
Software/Applications to be used
– Text editor / Notepad++
– Qgis v 2.8+
– Postgres
– Tomcat
– Geoserver
– ArcGIS (Desktop& Server where applicable)
This course aims at providing a complete field to office mobile mapping workflow to the participants. Participants shall use their mobile devices (Mobile Phones and GPS) to collect data, load the data into GIS and create maps from data collected. The course will enable the participants to also edit existing databases in the field and creating new data using field data collection techniques (Kobo and ODK).
MODULE I
• General Introduction to Mobile Data gathering
• Data and types of Data
• Introduction to ODK collect and Kobo Collect
• Data aggregation, storage and dissemination using ODK and Kobo Collect
• Types of questions
Preparing the mobile phone for data collection
• Installing applications: ODK Collect
• Configuring the device (Mobile Phones)
• Uploading the form into the mobile devices
(Hands-on Exercise)
MODULE II
Basic Survey Authoring
Intermediate Survey Authoring
Advanced Survey Authoring
• Conditional Survey Branching
• Grouping questions
• Making dynamic calculations
MODULE III: Hosting and Exporting survey data (Online)
Introduction to the server side component of ODK
• ODK Aggregate
• Kobo Toolbox
Hosting Survey Data (Configuring a local server)
• Configuring ODK Aggregate on a local server
• Ona account registration
Downloading data
• Manual download (ODK Briefcase)
• Using the online server interface (ona.io)
Hands-on Exercise (Practical with a sample questionnaire)
ANALYSIS
ODK and GIS data conversion
Exporting data to Fusion tables using
Hand-on Exercise
Course Summary
Discussion on the Choice of Platform
Considerations for Integrating Mobile Data Gathering Tools into the Project
Course Objectives:
The course will:
- Introduce participants to R as a quantitative data analysis tool
- Enable learner master R software and R-studio as a user interface
- Enable learner import data from various sources
- Introduce basic statistics for exploratory data analysis including methods for describing and summarizing variable distributions
- Provide essential skills for data manipulation including selecting subsets and recoding
- Introduce the visual representation of variables in scatter graphs, bar charts, and histograms
- Introduce users to the use of R for spatial data analysis and map making
This course aims to provide participants with the strategic understanding and applied skills in planning, conducting, and analyzing, reporting findings from qualitative research. At the end of the course, participants will be able to plan, conduct, and critically assess the quality of the qualitative data gathered during their data collection process. Participants will also learn how to use NVivo 12 in Qualitative Data Analysis.
Course Objectives:
- By the end of this program, participants should be able to:
Understand the fundamentals of qualitative research - Understand qualitative data collection and analysis methods
- Set up a project in NVivo and explore the function of NVivo
- Create, import and work with codes and nodes in NVivo
- Undertake deductive and inductive qualitative data coding using NVivo
- Manage all project materials conveniently in one project file.
- Deliver quality outputs backed by a transparent discovery and analysis process
- Justify decision making with sound findings and evidence-based recommendations
- Revisit data easily, build up the big picture perspective
- Write a qualitative research report
Statistical Package for Social Sciences (SPSS) is a comprehensive and user friendly statistical software for researchers providing visualization and data analytical tools.
Participants shall explore the statistical capabilities of SPSS ranging from simple percentages to complex analyses of variance, multiple regressions, and general linear models as well as to generate tabulated reports, charts and plots of distributions and trends.
Participants will review several statistical techniques, gain an understanding of when and why to use these various techniques as well as how to apply them with confidence, interpret their output, and graphically display the results.
