TRAINING COURSE ON GIS MAPPING AND SPATIAL DATA ANALYSIS

INTRODUCTION

Geographic Information Systems (GIS) have become an important tool for planning, resource management and decision making. Its ability to store, retrieve, analyze, model and map spatial data has enhanced its application. GIS is applied in all the fields of life such as infrastructural management, project beneficiary mapping, land use planning, market analysis, utilities management etc. This course therefore aims at training partakers with knowledge on how to use GIS tools to explore spatial data and analyze maps to communicate information and make decisions.

Participants who successfully complete the course will receive a Certificate of Participation.

OBJECTIVES

By the end of the course, the participant should be able to:

•       Understand GIS concepts
•       Perform spatial analysis on data for better understanding
•       Acquire clean and map GIS data
•       Complete an entire project on acquiring processing analyzing and visualizing GIS data
•       Geocode addresses to longitude and latitude coordinates
•       Work with both vector and raster data.

DURATION

 5 days

WHO SHOULD ATTEND?

The course targets government representatives, project teams, NGOs, multi and bilateral development organizations, consultancies, project managers, researchers and technical specialists.

COURSE OUTLINE

Module1: Introduction GIS and Quantum GIS

•       Introduction to Open source GIS;
•       Introduction to Quantum GIS;
•       Introduction to the Interface of Quantum GIS;
•       Fundamentals on projections.

Module 2: Data visualization in QGIS

•       Vector Data
•       Raster data
•       Prominence of Geo-referencing in GIS.
•       Vectorization/Editing:
•       Spatial data editing
•       Editing tools and Functionalities;
•       Concept of Snapping and its importance;
•       Managing Attribute data.
•       Data Retrieval:
•       Selection and its prominence;
•       Performing different sets of queries;
•       Types of selection.

Module 3: Working with GPS data

•       Transforming Geographic Coordinate Systems to Projected coordinate system
•       Working with geometric and non-geometric delimited CSV
•       Creating Convex Hull
•       Map Layout:
•       Introducing Map templates;
•       Map Elements;
•       Grids and Graticules

Module 4: Working with Tabular data

•       How to calculate polygon area
•       use the field calculator:
•       Generate simple statistics of a vector field
•       Select a polygon using an expression
•       Exporting attribute shapefiles to CSV file

Module 5: Working with vector data

•       Introduction to Spatial Analysis; Proximity Analysis; Overlay Analysis; Buffer; Union; Clip, Dissolve, Merge and Dissolve.
•       Using Query builder
•       Interpolation
•       Creating point features
•       Creating Polylines
•       Creating Polygon
•       Digitizing

Module 6: Terrain analysis

•       Hill shade
•       Slope
•       Aspect
•       Color relief
•       Terrain Ruggedness Index (TRI)
•       Topographic Position Index (TPI)
•       Roughness
•       Curvature

Module 7: Spatial analysis

•       Conversion of vector to raster data
•       Extraction of grid values to point shapefiles
•       Conversion of raster to point data
•       Reclassification processes
•       Overlaying raster data
•       Analyzing zonal statistics
•       Creating a New Vector Dataset

Module 8: Map production with QGIS

•       Title of the map
•       Map body, including all elements
•       Legend giving a title to the map or any additional components or symbols
•       North arrow, so the reader of the map can orient themselves
•       Scale bar to indicate distance
•       Acknowledgments (if any)
•       Graticules, which are parallel lines that represent latitude and longitude, so the map can be considered in a georeferenced format

Module 9: Working with google image Imagery and MAPinr

•       Obtaining the Google Earth Satellite Imagery
•       Geo-referencing your image in QGIS
•       Clipping the Raster Image
•       Creating points and line on google earth
•       Exporting to MAPinr for offline navigation

Module 10: Working raster data

•       Radiometric and atmospheric correction
•       Temporal normalization
•       Geo-coding and geo-referencing
•       Transformation
•       Signature development
•       Supervised Classification
•       Unsupervised Classification
•       Change detection
•       Accuracy assessment

GENERAL NOTES

•       The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.
•       The participants should be reasonably proficient in English as all facilitation and course materials will be offered in English.
•       Upon successful completion of this training, participants will be issued with a certificate.
•       The training will be held at Kincaid Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.
•       All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.
•       Accommodation and airport pickup are arranged upon request. For reservations contact the Training coordinator 
•       This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our Kincaid Training Centre or at a convenient location.

For further inquiries, please contact us on the Training Coordinator 

Payments are due upon registration. Payment should be sent to our Bank account before commencement of training and proof of payment sent to the official email address