Day 1: Introduction to GIS and QGIS

Introduction to GIS and QGIS:

• Overview of GIS Concepts ​

>Definition of GIS and its applications.

>Basic components of GIS: data, software, hardware, people, methods.

• Introduction to QGIS​

>History and development of QGIS.

>Main features and capabilities of QGIS.

​Installation and Basic Setup of QGIS:

• Installation of QGIS ​

>Downloading the latest version of QGIS.

>Installation process on different operating systems (Windows, macOS, Linux).

• Basic Setup of QGIS​

>Configuring project settings.

>Setting default projection and coordinate reference system (CRS).

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Day 2: QGIS Interface and Navigation

QGIS Interface and Navigation:

• Understanding the QGIS Interface ​

>Main components: Map canvas, Layers panel, Browser panel, Toolbox.

>Toolbars and menus overview.

• Navigation in QGIS​

>Zooming and panning across the map canvas.

>Overview of navigation tools and shortcuts.

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Adding and Managing Vector Data Layers:

• Adding Vector Data Layers ​

>Loading vector data from different sources (Shapefile, GeoJSON, PostGIS).

>Understanding layer properties and symbology.

• Managing Vector Layers​

>Layer styling: Symbolization, labeling.

>Layer properties: Attribute table, field calculations.

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Day 3: Working with Attribute Tables and Queries

Working with Attribute Tables:

• Understanding Attribute Tables​

>Exploring attribute table structure and data types.

>Sorting and filtering attribute data.

• Advanced Attribute Management​

>Joining attribute tables.

>Calculating new fields using field calculator.

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Spatial Queries and Analysis:

• Spatial Queries ​

>Performing spatial queries (e.g., select by location).

>Using spatial bookmarks and bookmarks manager.

• Basic Spatial Analysis​

>Buffering and overlay analysis (Union, Intersection).

>Introduction to geoprocessing tools.

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Day 4: Introduction to Raster Data and Image Analysis

Loading Raster Layers, Raster Symbology:

• Loading Raster Layers​

>Importing raster data (e.g., GeoTIFF, JPEG) into QGIS.

>Understanding raster layer properties (metadata, CRS).

• Raster Symbology​

>Applying color ramps and palettes to raster layers.

>Adjusting transparency and contrast for better visualization.

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Performing Raster Calculations, Basic Image Analysis:

• Raster Calculations ​

>Using raster calculator for basic arithmetic operations.

>Applying conditional statements and reclassification.

• Basic Image Analysis​

>Deriving slope and aspect from DEM (Digital Elevation Model) data.

>Analyzing raster neighborhoods using focal statistics.

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Day 5: Geoprocessing Tools and Techniques

Geoprocessing Tools:

• Introduction to Geoprocessing Tools​

>Overview of common tools (buffer, clip, merge).

>Performing basic vector operations.

• Advanced Geoprocessing Techniques​

>Overlay analysis (Union, Intersection, Difference).

>Dissolve and spatial statistics.

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Spatial Analysis Techniques:

• Proximity Analysis ​

>Creating buffers around features.

>Measuring distances and nearest neighbor analysis.

• Statistical Analysis​

>Analyzing spatial patterns and distributions.

>Introduction to spatial interpolation technique.

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