Advance GIS and Mapping .
Details
About this Course
In this course, the second in the Geographic Information Systems (GIS) Specialization, you will go in-depth with common data types (such as raster and vector data), structures, quality and storage during modules:
Learn about data models and formats, including a full understanding of vector data and raster concepts. You will also learn about the implications of a data’s scale and how to load layers from web services.
Create a vector data model by using vector attribute tables, writing query strings, defining queries, and adding and calculating fields. You’ll also learn how to create new data through the process of digitizing and you’ll use the built-in Editor tools in QGIS
.From Data Management features to Cartography and Spatial Analysis capabilities, as well as spatial infrastructure with QGIS Server.
Learn about common data storage mechanisms within GIS, including geodatabases and shapefiles. Learn how to choose between them for your projects and how to optimize them for speed and size. You’ll also work with rasters for the first time, using digital elevation models and creating slope and distance analysis products.
You should have equivalent experience to completing the first course Introduction to mapping using QGIS 3X before taking this course.
By completing the second class in the Specialization you will gain the skills needed to succeed in the full program.
Outline
Course content Overview
These modules cover these major concepts; in vector and raster data models, scale, designing data tables, using vector attribute tables, and separating and joining data in order to use it more effectively in a relational database.
Introduction to Vector & Raster Geoprocessing
- Vector and Rater data processing
- Creating and Working with Vector Data-Geopackages and spatialite layers
- Difference,Clip, Buffer, Union, Merge Dissolve – Vector.
- Clip, Composite Band, Mosaic, Split Raster-Raster
Introduction to QGIS Processing Toolbox
- Analysis Tools
- Proximity Analysis (Buffer, Multiple Ring Buffer, etc.)
- Statistics Analysis
- Network Analysis
- Finding the Shortest route.
- New Service Area.
- New Closest Facility
- New OD Cost Matrix.
- New Location Allocation
Introduction to Raster processing QGIS
- Generating Topographic position Index (TPI), Aspect, Hillshade, Roughness, slope,Terrain Rugged index(TRI)
- Using the Georeferencer
- Projections :Warp Projection,
- Building Virtual Rasters, Building Pyramids and Tile indexes.
- Polyginize
- Rasterize
- Plots
- Raster Tools
- Creating Atlas and Dynamic maps
Batch processing frameworks
Database design
Advance labeling and symbologies in QGIS.
Introduction to Relational Database Management Systems(RDBMS), Including data in a database, PostgreSQL and PostGIS , Working with OpenGeo suites.
Target Participants
WASH specialists, M & E Experts, Public health, Program Manager, Students, Engineers, Teachers, GIS and Remote Sensing Enthusiasts
Suggested Skills
Experience with Windows-based software for basic file management and browsing, basic QGIS Knowledge.
Software
QGIS Version 3X ,PostgreSQL ,Geoserver
Certification
Upon completion of the course all the participants will be awarded a certificate at no extra cost.
Special Offer
Schedules
No. of Days: | 5 |
No. of Participants: | 20 |
WiseGIS Spatial Solutions offers a wide range of training programs to building capacity that will enhance effective service delivery for individuals, NGOs, CBOs, Public and Private sector through open workshops, E-Learning and most recent Virtually due to the fluid situation we are currently experiencing around the globe.
The training we offers varies from 1 on 1 custom tuition on specialized aspects of Agriculture, WASH, Epidemiology, Environment, Climate Change to regular virtual group training sessions on GIS Remote sensing and Data Collection. These training entails well guided presentations, practical exercise, a plenary presentation, and group work. We also have courses tailored to the need of individual organizations where participants gain through using their relevant data used in their line of work.