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Geographic Information Systems (GIS): Making Sense of Data by Combining it with Location

Coğrafi Bilgi Sistemleri (GIS) Veriyi Konumla Buluşturarak Anlamlandırmak

What are Geographic Information Systems?

Geographic Information Systems (GIS or GIS) are powerful technological infrastructures developed for the collection, analysis and visualization of spatial data. These systems guide strategic decision-making processes in both public and private sectors by making complex geographic information more understandable and actionable.

How does GIS Work?

The main function of GIS is to integrate physical location information (spatial data) with attributes related to that location (demographic information, types of use, environmental factors). Thanks to this integrated structure, answers can be produced to questions such as:

  • “What’s here?”
  • “Which features cluster together?”
  • “What kind of planning should be done?”

The answers to these questions provide operational efficiency and strategic foresight in many areas such as urbanization, logistics, crisis management, agriculture and energy.

With GIS;

  1. Data Collection: Geographic data is collected in a variety of ways, including GPS surveys, remote sensing (using satellites or drones) and digitizing existing maps.
  2. Data Storage: The collected data is organized and stored in a spatial database. This database contains both spatial and qualitative data.
  3. Data Analysis: GIS software allows users to perform spatial analysis, such as finding the shortest route between two points, identifying patterns, or assessing environmental impacts.
  4. Data Visualization: GIS enables the creation of maps and visualizations that help convey complex information in a clear and understandable way.

Components of Geographic Information Systems

1. Data: Spatial (maps, satellite images, coordinates) and qualitative (population, land use, socioeconomic indicators) data are evaluated together.

2. Software: GIS software provides the basic tools for processing, analyzing and reporting this data.

3. Hardware: Tools such as GPS devices, sensors, computer systems, etc. enable the acquisition, processing and storage of data.

4. Human Resource: Experts such as analysts, planners, engineers, etc. represent the human intelligence that maximizes the system’s capacity to generate knowledge.

Application Areas of GIS

City Planning: Provides location-based analysis for transportation, infrastructure and urban development projects.

Environment and Natural Resource Management: It plays an active role in the protection of natural assets such as erosion, water resources and forest areas.

Disaster Management and Emergency Response: It facilitates the identification of affected areas and response planning in events such as earthquakes, floods and fires.

Marketing and Retail: Used to analyze customer density, competitor locations and regional market potential.

Health Sector: Provides solutions for epidemiological maps, accessibility analysis of health facilities and resource allocation planning.

Why is it important?

Today, it is essential to make sense of data, not just collect it. In this context, GIS gives data an intellectual depth. It answers not only “what” questions, but also “why” and “how” questions. Thus, decisions of organizations become based on knowledge, not intuition.

Conclusion

Geographic Information Systems offer new perspectives on the most critical challenges of our time with both depth of analysis and visualization capabilities. These systems, which make a difference in many areas from making cities more livable to reducing disaster risks, are one of the cornerstones of an information-based decision-making culture.

For every data-driven organization, understanding space means understanding the future.

Solution: i-frame:

Safe, sustainable and meaningful processing of spatial data is possible not only with technological capacity, but also with institutional memory and process intelligence. i-frame, with its low-code structure and high integration capability, facilitates the management of complex data sets such as GIS and supports users to create unique solutions with this data.

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