GIS Mapping and Spatial Data Analysis Course

GIS Mapping and Spatial Data Analysis

Geographic Information Systems (GIS) are essential tools for infrastructure management, project beneficiary mapping, land use planning, utilities management, market analysis, and impact assessments. GIS has become a key asset for planning and decision-making due to its ability to store, analyze, and visualize spatial data, facilitating more informed decisions across various sectors.

This course is designed to provide learners with the skills to apply GIS tools to visualize real-world features, explore spatial data, and analyze maps effectively to support decision-making in infrastructure management, urban planning, and related fields.

Who Should Attend?

  • Professionals who are involved in planning, resource management, and decision-making using spatial data.
  • GIS professionals seeking to enhance their skills in infrastructure and project mapping applications.
  • Urban planners, engineers, and project managers interested in leveraging GIS for infrastructure management.
  • Environmental managers, utility service providers, and government officials involved in land use and utilities planning.

Duration

5 Days

Course Objectives

  • Perform spatial analysis to better understand and manage project data.
  • Create and share interactive online maps using web GIS platforms.
  • Acquire, clean, and prepare GIS data for analysis and mapping.
  • Geocode addresses and convert them to latitude/longitude coordinates for mapping purposes.
  • Work with shapefiles and GIS attributes for map creation and analysis.
  • Understand the differences between vector and raster data, and apply them in GIS projects.
  • Complete a full GIS project involving data acquisition, processing, analysis, and visualization.
  • Perform core GIS operations like joins, clipping, and normalization for effective spatial analysis.

Course Content

  • Introduction to GIS Concepts
    • Understanding the principles of GIS and remote sensing technologies.
    • Exploring GIS system components and their functions in spatial data management.
    • Overview of GIS capabilities and practical applications in project mapping and management.
    • Spatial Data Infrastructure (SDI) and its role in GIS data sharing.
  • Introduction to GIS Data
    • Understanding vector geometries and their role in GIS data analysis.
    • Exploring vector information, attributes, and spatial relationships.
    • Basics of raster data and its usage in GIS projects.
    • Working with data attribute tables and metadata for data management.
  • Spatial Reference Systems
    • Understanding map projections and coordinate systems in GIS.
    • Working with global positioning systems (GPS) for accurate geolocation data.
  • Mobile Data Collection with ODK and GIS
    • Introduction to Open Data Kit (ODK) for mobile data collection.
    • Mapping and analyzing data collected via ODK using GIS tools.
  • GIS Data Acquisition
    • Techniques for extracting GIS data from satellite imagery and remote sensing sources.
    • How to extract data from online GIS sources and topographic maps.
    • Using open street maps and other public data sources for GIS analysis.
  • Map Making with QGIS
    • Introduction to QGIS and its mapping components.
    • How to work with shapefiles and attribute data in QGIS for map creation.
  • Loading and Working with GIS Data in QGIS
    • Loading vector and raster data layers into QGIS.
    • Working with attributes and customizing data layers in GIS.
    • Importing spreadsheets or CSVs for GIS analysis.
    • Adding base maps and geocoding addresses for spatial accuracy.
  • Geospatial Data Representations and Styling
    • Configuring data views and managing layer transparency for clear visualization.
    • Applying symbology, labeling, and annotations for map styling.
    • Using basic styling techniques for vector and raster data.
    • Creating and managing mosaics and performing raster clipping.
  • Spatial Analysis Techniques
    • Point pattern analysis, including heatmaps and graduated point maps.
    • Creating density maps and conducting offset point location analysis.
    • Buffer analysis and performing spatial joins and queries.
  • Web Mapping and Sharing GIS Data
    • Overview of web mapping architecture and tools.
    • Creating and sharing maps using Google Fusion Tables and other web-based GIS platforms.

General Notes

  • Tailored Training: All courses can be customized to meet the specific needs of participants.
  • Language: The course is conducted in English, and participants must have a good understanding of the language.
  • Training Methods: The course includes presentations, practical exercises, web-based tutorials, and group work. Our instructors are experienced professionals with over 10 years of expertise in GIS and related fields.
  • Certification: Upon successful completion of the training, participants will receive a certificate from Stepsure Training and Research Institute.
  • Flexible Training Locations: Training can be conducted at our centers or delivered online or on-site based on your schedule.
  • Training Costs: Fees include training materials, two coffee breaks, buffet lunch, and a certificate. Participants are responsible for their travel and accommodation costs.
  • Additional Services: Accommodation, transport, and visa processing are available on request at discounted rates.
  • Post-Training Support: We offer one year of free consultation and coaching after the course.
  • Group Discounts: Enjoy a discount of 10% to 50% when you register as a group of two or more participants.
  • Payment Terms: Payment should be made prior to the start of the course to ensure better preparation.

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