Geographers and Uses of GIS

By Shashikant Nishant Sharma

Geographers often find it beneficial to understand GIS (Geographic Information System) algorithms, but it’s not always a strict requirement for all geographers. GIS is a powerful tool that allows geographers to analyze and interpret spatial data, and a basic understanding of GIS algorithms can enhance their ability to use GIS effectively. Here are a few reasons why geographers might benefit from understanding GIS algorithms:

  1. Better Use of GIS Software: Understanding the algorithms behind GIS software can help geographers make more informed decisions when choosing and utilizing specific tools. It enables them to select appropriate methods for data analysis and visualization.
  2. Customization and Problem Solving: A deeper understanding of GIS algorithms allows geographers to customize workflows and address specific spatial analysis problems more effectively. This knowledge empowers them to develop solutions tailored to their research or professional needs.
  3. Interpretation of Results: Knowing the algorithms applied in GIS helps geographers interpret the results of spatial analyses more accurately. This understanding allows them to critically evaluate the outcomes and make informed decisions based on a deeper comprehension of the underlying processes.
  4. Integration with Other Technologies: Geographers working at the intersection of GIS and other technologies, such as remote sensing or machine learning, may benefit from understanding the algorithms that drive these technologies. It facilitates integration and synergy between different tools and methods.
  5. Algorithm Development: Some geographers may engage in algorithm development for specific spatial analysis tasks. In such cases, a solid understanding of GIS algorithms is essential for creating effective and efficient solutions.

However, it’s important to note that not all geographers need to delve deeply into GIS algorithms. Many geographers use GIS as a tool for spatial analysis without needing to understand the underlying algorithms at a detailed level. The level of understanding required depends on the specific tasks and goals of the geographer. Some may focus more on the conceptual and applied aspects of GIS, while others, especially those involved in GIS development or research, may need a more in-depth understanding of algorithms.

References

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Johnston, R. J. (1999). Geography and GIS. Geographical information systems: Principles, techniques, management and applications, 1, 39-47.

Sharma, S. N. (2019). Review of most used urban growth models. International Journal of Advanced Research in Engineering and Technology (IJARET), 10(3), 397-405.