top of page

Unlock the Power of QGIS for Urban Development: Master Spatial Analysis and 3D Mapping

This 30-day intensive training program equips urban planners, architects, and GIS professionals with advanced QGIS skills. Participants will learn to perform spatial analysis, 3D mapping, and data visualization, applying these techniques to real-world urban development challenges.

After the Course you'll be familiar with

  • Advanced Data Visualization and Symbology

  • Spatial Analysis Techniques

  • Working with Raster and Vector Data

  • 3D Mapping and Hazard Modelling

Both online and offline(Bangalore) mode available with customized class timings

Designed based on the latest industries multi skilled job and training requirement.

Trainers with 5+ years of hands-on experience in specific domain

Duration-30Days/60Hrs.

Monday-Friday

What you'll learn

  • Mastering QGIS Interface

  • Data Import and Management

  • Advanced Symbology Techniques

  • Spatial Data Analysis

  • Georeferencing and Raster Analysis

  • Map Labeling and Annotations

  • Vector Data Processing

  • 3D Mapping and Visualization

  • Hazard and Risk Mapping

  • Automation with QGIS Toolbox

DALL·E 2024-09-27 11.13.26 - A detailed and realistic vector-style image representing a co

Training Content

Introduction to QGIS Software

  • Overview of QGIS Capabilities

  • Exploring the QGIS User Interface

  • Adding and Managing Vector Data

  • Incorporating Raster Data in QGIS

  • Efficiently Navigating Through Map Data

  • Finding and Importing Spatial Data

  • Handling CSV Files for Spatial Analysis

  • Working with Spreadsheet Data in QGIS

  • Understanding Attribute Data Basics

  • Modifying Columns: Adding and Removing Data Fields

  • Querying and Filtering Attributes in QGIS

Data Symbology and Visualization

  • Basics of Symbolizing Geographic Data

  • Creating and Customizing Symbology Classes

  • Enhancing Maps with Decorations and Elements

  • Advanced Rule-Based Symbology Techniques

  • Rendering 2.5D Symbology for Added Depth

  • Using Colour Ramps for Vector and Raster Data Visualizations

  • Symbology for Single-Band Raster Data

  • Organizing and Prioritizing Symbols in Maps

  • Using the Inverted Polygon Renderer

  • Creating and Analyzing Heatmaps

  • Designing and Sharing Custom Styles

  • Point Clustering for Better Data Visualization

QGIS Expressions and Calculations

  • Introduction to Expressions in QGIS

  • Using Expressions for Symbology Adjustments

  • Attribute Expressions for Enhanced Data Queries

  • Advanced Use of QGIS Expressions

  • Field Calculations Using Basic and Advanced Options

  • Reference Guide for QGIS Expressions

Map Labelling and Annotations

  • Understanding the Basics of Labelling in QGIS

  • Using Rule-Based Labelling for Dynamic Maps

  • Data-Driven Labelling for Intelligent Map Markings

  • Incorporating Geometry Expressions in Labels

Working with Raster Data

  • Georeferencing Raster Data in QGIS

  • Utilizing the Raster Calculator for Data Analysis

  • Handling Multi-Band Satellite Imagery

  • Converting Raster Data into Vector Formats

  • Stream Catchment Delineation Using Rasters

  • Clipping Raster Data for Focused Analysis

  • Performing Zonal Operations on Raster Data

Spatial Analysis and GIS Processing

  • Conducting Spatial Selections for Targeted Areas

  • Working with Continuous and Classified Data

  • Statistical Analysis for Geographic Data

  • Site Suitability Analysis in QGIS

  • Using the QGIS Processing Toolbox for Automation

  • Buffering Techniques in the Processing Toolbox

  • Buffering with the Graphical Modeler

Data Acquisition and Vector Operations

  • Vector Digitizing Techniques

  • Maintaining Topology in Vector Data

  • Basics of Buffer Operations

  • Joining Tables for Enhanced Data Connections

  • Calculating Population Density with GIS Data

  • Performing Intersection and Dissolve Operations

  • Introduction to Network Analysis

3D Mapping and Point Cloud Analysis

  • Visualizing Data with 3D Maps in QGIS

  • Analyzing Time Series Data for Dynamic Changes

  • Contingency Planning Using Spatial Data

  • Identifying and Mapping Hazards

  • Hazard Classifications and Risk Assessments

  • Exposure and Impact Analysis Using QGIS

  • Aggregating Spatial Data for Impact Studies

  • Modelling Hazard Scenarios in GIS

  • Mapping and Visualizing Hazard Zones

Practical Exercises and Case Studies

  • Practical Example – First Steps in QGIS

  • Case Study – Bhutan Infrastructure and Disaster Planning

  • Exercise – MultiBuffer Analysis

  • Exercise – Shakemap Importer for Earthquake Data

Advanced Data Access and Preparation

  • Accessing Data using QuickOSM for OpenStreetMap

  • Preparing Spatial Analysis from First Principles

  • Field Mapping Techniques for Aggregation

  • Disaster Mitigation Planning and Human Impact Analysis

Prerequisites

  • Basic knowledge of urban planning or architecture.

  • Familiarity with maps and spatial data concepts is advantageous but not mandatory.

Click Here To Enroll The Course

bottom of page