Programme Overview
Training Description
Master spatial workflows from field data collection to web mapping. Learn QGIS, data management, spatial analysis, and dynamic visualization. Enroll today!
Session Objectives
- Understand GIS key components Understand the role of GIS in solving epidemiological and animal health related issues.
About the Course
This training introduces students to both the social and technical aspects of digital mapping. Students will learn fundamental concepts and techniques in cartography and GIS, including file types, data classification, projections and coordinate systems and elementary analytical techniques in a range of desktop and web-based mapping platforms. In addition to providing the fundamental technical competencies necessary to create maps, students will develop the critical awareness required to effectively communicate complex social processes through maps. This course comprises 10 modules, each with their own learning objectives and target deliverable. Modules consist of an applied "hands-on" lesson.
Curriculum & Topics
10 Topics | 54 Sessions
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Workshop 1.1: Basics of cartography, GIS, and mapping
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Workshop 1.2: Introduction of geographic data and information and its coding
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Workshop 1.3: Downloading and Installing a free and open-source GIS application (QGIS)
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Workshop 1.4: QGIS interface
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Workshop 1.5: Spatial reference and projection issues
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Workshop 1.6: Working with geographic data with QGIS and viewing their attributes within QGIS
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Workshop 1.7: Basic map styling
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Workshop 1.8: Creating and exporting a basic map as a static image file
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Workshop 2.1: Load shape files and CSV data into QGIS
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Workshop 2.2: Reproject the map into an equal-area projection
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Workshop 2.3: Create classed choropleth map
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Workshop 2.4: Adjusting the legend
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Workshop 2.5: Load tabular CSV data into QGIS and performing a tabular join
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Workshop 3.1: Obtain and work with US Census data
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Workshop 3.2: Geocoding of tabular data
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Workshop 3.3: Online geocoding tools
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Workshop 3.4: Polygon analysis points
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Workshop 4.1: Map point data
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Workshop 4.2: Create new polygon shape files of hexagon shapes and raster heat maps
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Workshop 4.3: Determine the number of different good types within each polygon
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Workshop 4.4: Play with various classification schemes for representing the data
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Workshop 4.5: Create a 'heat map' representation of the data
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Workshop 5.1: Georeferencing
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Workshop 5.2: Using the GDAL Georeferencer
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Workshop 5.3: Data digitization
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Workshop 5.4: Data digitization with Open Street Map in QGIS
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Workshop 6.1: Introduction to Open Street Map
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Workshop 6.2: Importing OpenStreetMap data: QuickOSM
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Workshop 6.3: Importing OpenStreetMap data: SpatialLite Database
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Workshop 6.4: Filtering and extraction od data
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Workshop 6.5: Exporting layers to a local CRS
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Workshop 6.6: Introducing Geoprocessing
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Workshop 6.7: Geoprocessing with a buffer analysis
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Workshop 7.1: Extracting and preparing thematic OSM data
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Workshop 7.2: Filtering OSM data to create desired features
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Workshop 7.3: Managing CRSs in a Geoprocessing Workflow
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Workshop 7.4: Extracting attribute types of interest
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Workshop 7.5: Creating a buffer around a Polyline feature
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Workshop 7.6: Clipping features within a buffer
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Workshop 7.7: Geoprocessing functions
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Workshop 7.8: Using the Graphical Processing Modeler to automate workflows
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Workshop 8.1: Creating a CartoDB account and exploring the documentation and interface
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Workshop 8.2: Loading data into CartoDB
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Workshop 8.3: Using the QGIS CartoDB plugin
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Workshop 8.4: Pulling data down into QGIS for processing
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Workshop 8.5: Pushing data backup to CartoDB
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Workshop 8.6: Making a thematic map in CartoDB
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Workshop 9.1: Using SQL in CartoDB
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Workshop 9.2: Symbolizing point data and "Bubble Maps" in CartoDB
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Workshop 9.3: Creating an unclassed proportional symbol map in CartoDB
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Workshop 9.4: What is PostGIS?
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Workshop 9.5: Using SQL and PostGIS to perform Geoprocessing tasks in the browser
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Workshop 10.1: Each student will select from suggested datasets to create a final course project
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Workshop 10.2: Students can use CartoDB or Mapbox Studio