Module 1 | .Introduction to GIS
-Understand what GIS is, what its used for, GIS as a tool to support management decision making, phases/stages of analytics
-Introduction of geographic scale
-Software/tools to support users (Open source and commercial), include session on installation and setup of software
-Provide examples of use cases across sectors | . |
Module 2 | Sourcing Data
-Administrative unit data (National Statistical Offices)
-Primary data, definition and forms
-Primary data collection tools/applications/devices
-Secondary data (Global, national sources) –practical session on acquiring curated secondary data from websites, .geotiff, Google Earth Engine etc
-Integrating GPS and ODK/Kobocollect data into a GIS environment
-URLs ( “https://open.africa/” , https://gadm.org/download_country.html, etc ) | . |
Module 3 | Preparation of data
-Vector, Raster data
-Shapefiles (.shp, .shx, .dbf, .prj)
-Data file formats and types (CSV, XLS) | . |
Module 4 | Using GIS Software
-Software interface overview (Panels, Toolbars, Pan window etc)
-Reading-in different data types (Load shape files and CSV data into QGIS)
-Load tabular CSV data into QGIS and performing a tabular join
-Working with layers – Creating your first map (Adding layers, symbology, labelling)
-Map Design (Layouts, legends, scale bars, saving/exporting your map)
-Manipulating shapefiles (merge, dissolve, etc) | . |
Module 5 | Spatial Analysis
-What is spatial analysis
-Forms of spatial analysis o Choropleth maps etc. o Heatmaps o Proximity analysis o Buffer analysis | . |
Module 6 | Case Studies
-Natural Resource Management
-Disease Surveillance
-Crime Mapping and Analysis
-Remote Sensing
-Mapping Resilience and Vulnerability | . |
Module 7 | An introduction to AI use in Spatial Analysis
-Check consistency of data
-Suggested forms of analysis
-Analyse patterns over time
-GIS And Remote Sensing | . |
