Course Details

GIS Data Collection, Management, Analysis, Visualization And Mapping Workshop

INTRODUCTION

The GIS Data Collection, Management, Analysis, Visualization, and Mapping course is designed to provide participants with a comprehensive understanding of the entire workflow of Geographic Information Systems (GIS). From data collection in the field to effective data management, spatial analysis, and creating visually compelling maps, this course equips participants with the skills to handle real-world spatial data challenges.

As GIS plays an increasingly critical role in various sectors such as environmental management, urban planning, agriculture, health, and disaster response, mastering the full spectrum of GIS operations is essential for professionals. This course emphasizes hands-on learning, providing participants with practical experience in using GIS tools and technologies for a range of applications.

Participants will learn to work with different types of spatial data (e.g., vector, raster), use GPS and mobile data collection tools, apply spatial analysis techniques, and create meaningful visualizations for decision-making. The course is structured to give participants the ability to transform raw geographic data into actionable insights.

DURATION

10 Days

TARGET AUDIENCE

The course targets government representatives, project teams, NGOs, multi and bilateral development organizations, consultancies, etc, who work as M&E specialists, project managers, researchers and technical specialists. 

OBJECTIVES

By the end of this course the participants will be able to:

• Define and differentiate between variety of spatial data models and formats
• Explain and apply the basics of representation in GIS, (including using vector and raster data formats, determining appropriate geographic coordinate system for a given spatial data file and applying the appropriate geographic projection to a map type and spatial scale)
• Manipulate geospatial datasets (e.g. cleaning, joining, querying, extracting)
• Apply appropriate thematic map symbology to represent geographic phenomena
• Produce static map products that integrate multiple data types and analytical methods
• Obtain geospatial data from a variety of online sources and integrate into mapping processes
• Integrate desktop GIS procedures with web-based mapping platforms

COURSE OUTLINE

Module 1: Introduction to new maps plus, cartography and GIS, and creating maps in QGIS

• Basics of cartography, GIS, and mapping
• Introduction of geographic data and information and its coding
• Downloading and Installing a free and open-source GIS application (QGIS)
• QGIS interface
• Spatial reference and projection issues
• Working with geographic data with QGIS and viewing their attributes within QGIS
• Basic map styling
• Creating and exporting a basic map as a static image file

Module 2: Thematic data mapping with table joins

• Load shape files and CSV data into QGIS
• Reproject the map into an equal-area projection
• Create classed choropleth map
• Adjusting the legend
• Load tabular CSV data into QGIS and performing a tabular join

Module 03: Geocoding and point in polygon analysis

• Obtain and work with US Census data
• Geocoding of tabular data
• Online geocoding tools
• Polygon analysis points

Module 04: Hexbin and heat mapping

• Map point data
• Create new polygon shape files of hexagon shapes and raster heat maps
• Determine the number of different good types within each polygon
• Play with various classification schemes for representing the data
• Create a 'heat map' representation of the data

Module 05: Creating and editing vector Geometries

• Georeferencing
• Using the GDAL Georeferencer
• Data digitization
• Data digitization with Open Street Map in QGIS

WEEK 2

Module 06: Openstreetmap data and Introduction to Geoprocessing tools

• Introduction to Open Street Map
• Importing OpenStreetMap data: QuickOSM
• Importing OpenStreetMap data: SpatialLite Database
• Filtering and extraction od data
• Exporting layers to a local CRS
• Introducing Geoprocessing
• Geoprocessing with a buffer analysis

Module 07: Geoprocessing in QGIS and automating workflows

• Extracting and preparing thematic OSM data
• Filtering OSM data to create desired features
• Managing CRSs in a Geoprocessing Workflow
• Extracting attribute types of interest
• Creating a buffer around a Polyline feature
• Clipping features within a buffer
• Geoprocessing functions
• Using the Graphical Processing Modeler to automate workflows

Module 08: Integrating QGIS with cartodb

• Creating a CartoDB account and exploring the documentation and interface
• Loading data into CartoDB
• Using the QGIS CartoDB plugin
• Pulling data down into QGIS for processing
• Pushing data backup to CartoDB
• Making a thematic map in CartoDB

Module 09: Advanced mapping techniques with QGIS and cartodb

• Using SQL in CartoDB
• Symbolizing point data and "Bubble Maps" in CartoDB
• Creating an unclassed proportional symbol map in CartoDB
• What is PostGIS?
• Using SQL and PostGIS to perform Geoprocessing tasks in the browser

Module 10: Bringing it all together (course project)

• Each student will select from suggested datasets to create a final course project
• Students can use CartoDB or Mapbox Studio

CERTIFICATION

• Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

• Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

• Airport pick up and accommodation is arranged upon request