Geographic information systems are used in infrastructure management, project beneficiary mapping, service facilities mapping, land use planning, market analysis, impact analysis and utilities management. Geographical information Systems have become an essential tool for planning, resource management and decision making. The ability of GIS to store, retrieve, analyze model and map spatial data has enhanced its application. This course aims at equipping the learners with knowledge to use GIS tools to visualize real world features, explore spatial data and analyze maps to communicate information and make decisions.

• Perform spatial analysis to better understand your data
• Create and share online maps using web GIS platforms
• Acquire, clean, and map GIS data
• Geocode addresses to longitude and latitude coordinates
• Work with attributes and shapefiles in map making
• Work with both vector and raster data
• Complete an entire GIS project on acquiring, processing, analyzing, and visualizing GIS data.
• Perform joins, clipping, normalization, and many more core GIS operations
• Work with vector and raster data

1. Enhanced Decision-Making: GIS enables organizations to visualize, analyze, and interpret geospatial data. By equipping employees with GIS skills through a course, organizations empower them to make informed decisions based on spatial patterns, trends, and relationships. This can lead to more effective and efficient decision-making across various departments and functions.
2. Improved Planning and Resource Allocation: GIS provides tools and techniques for spatial planning, resource allocation, and optimization. With GIS skills gained from a course, employees can better analyze geographic data to identify suitable locations, allocate resources efficiently, and optimize workflows. This leads to improved planning processes and better utilization of resources, resulting in cost savings and increased operational efficiency.
3. Enhanced Data Management: GIS courses often cover data collection, storage, integration, and management techniques. By learning these skills, organizations can improve their data management practices, ensuring data quality, consistency, and accessibility. Proper data management enhances the organization’s ability to leverage geospatial information effectively and promotes data-driven decision-making.
4. Improved Communication and Collaboration: GIS courses often emphasize data visualization and spatial storytelling. By learning how to effectively communicate geospatial information through maps, charts, and interactive visualizations, employees can convey complex information in a more accessible and understandable manner. This facilitates better communication and collaboration within the organization and with stakeholders, leading to improved understanding and alignment on key issues.
5. Enhanced Efficiency in Workflows: GIS courses introduce techniques for automation, geoprocessing, and spatial analysis. These skills enable employees to streamline workflows, automate repetitive tasks, and perform complex spatial analysis more efficiently. This leads to time savings, increased productivity, and improved overall operational efficiency within the organization.
6. Improved Problem Solving and Innovation: GIS courses often emphasize critical thinking and problem-solving skills in a geospatial context. By developing these skills, employees become adept at analyzing spatial patterns, identifying trends, and finding innovative solutions to complex challenges. This fosters a culture of innovation and empowers employees to tackle problems from a spatial perspective, leading to improved outcomes and competitive advantage.

Researchers, data analysts, and GIS professionals who want to learn advanced techniques for analysing spatial data

5 – 10 days

However, the duration can be adjusted based on the specific needs and pace of the participants.

Introduction to GIS concepts

• Principles of GIS and Remote Sensing
• Components of GIS Systems
• GIS Capabilities and Functions
• Spatial Data Infrastructure

Introduction to GIS data

• Vector geometries
• Vector information
• Raster basics
• Data attribute table
• Metadata

 Spatial Reference Systems

• Map projections
• Coordinate system
• GPS system

ODK and GIS

• Introduction to Mobile Data Collection using ODK
• GIS Mapping ODK collected data

GIS data acquisition

• Extracting data from Satellite images
• Remote sensing data
• Extracting data from online GIS data sources
• Obtaining Data from topographic sheets
• Downloading Data from open street maps

 Map making using QGIS software

• Map Components
• Working with shapefiles and attribute data in QGIS

Loading GIS Data into QGIS

• Vector and raster data layer
• Working with attributes
• Importing spread sheets or CSVs
• Adding a base map
• Geocoding addresses

Key Options of Geospatial Data Representations

• Data and layout view
• Layer order and transparency
• Symbology and label
• Annotations

 Styling geographical features

• Basic vector styling
• Basic raster styling
• Raster mosaicing and clipping

 Producing final map

Spatial Analysis | Point pattern analysis

• Heatmap in QGIS
• Graduated point map
• Density maps
• Offset point location

 Buffer analysis | Join analysis

• Spatial join
• Table join
• Spatial query

 Point in polygon analysis

Web Mapping

• Architecture of web mapping
• Web mapping with Google fusion tables