Geographic Information Systems (GIS)

Course Info

Date:

2024-12-16

Length:

5 Days

Type:

In Classroom

Fees:

£ 3900

City:

Istanbul

Available Dates

2025-05-05

Istanbul

2025-08-04

Istanbul

2025-11-03

Istanbul

Dates in Other Venues

2025-04-07

London

2025-05-05

Dubai

2025-05-05

Amsterdam

2025-05-05

Barcelona

2025-05-05

Singapore

2025-05-05

Paris

2025-05-05

Kuala Lumpur

2025-06-23

London

2025-07-07

Dubai

2025-08-04

Kuala Lumpur

2025-08-04

Amsterdam

2025-08-04

Barcelona

2025-08-04

Paris

2025-08-04

Singapore

2025-08-04

London

2025-09-22

Dubai

2025-10-06

London

2025-11-03

Kuala Lumpur

2025-11-03

Singapore

2025-11-03

Paris

2025-11-03

Dubai

2025-11-03

Barcelona

2025-11-03

Amsterdam

2025-12-22

London

Course Details

  • Introduction
  • Objective
  • Who should attend
  • Course Location

This comprehensive 5-day course is designed to provide an in-depth introduction to Geographic Information Systems (GIS), a technology that enables the capture, analysis, and visualization of spatial data. clients will learn fundamental concepts, tools, and techniques used in GIS to solve real-world spatial problems across various domains.

LPC provides this course to offer you a unique opportunity to learn this system. Geographic Information Systems (GIS) have become indispensable tools for understanding the complex interplay between geography and data. This course serves as a comprehensive initiation into the world of GIS, equipping students with the skills to harness spatial information for analysis, visualization, and problem-solving across diverse domains.

Course Outline

5 days course
  • Day 1
  • Day 2
  • Day 3
  • Day 4
  • Day 5

Introduction to GIS , Spatial Data Sources and Data Models

  • Understanding spatial data and its importance
  • History and evolution of GIS technology
  • Components of GIS: hardware, software, data, people, methods
  • Types of spatial data: vector vs. raster
  • Data acquisition methods: GPS, remote sensing, surveys
  • Coordinate systems and projections
  • Attribute data and relational databases

 

 

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