GIS and DSS

What is GIS?

  • GIS stands for Geographic Information System.
  • It is a computer based tool for storing, mapping, analyzing and displaying data related to positions on Earth's surface.
  • It allows multiple layers of information to be displayed on a single map.
  • It can show different kinds of data on one map.
  • This system enables people see, analyze and understand patterns & relationships more easily.
  • It integrates common database operations, such as query and statistical analysis.
  • It contains an explicit geographic reference, such as latitude, longitude, address or zip code and can be used for any information that includes location.
  • It integrates five key components - hardware, software, data, people and methods.

Features of GIS

  • GIS is used for creating the maps.
  • It visualizes the scenarios.
  • It integrates the information.
  • It solves complicated problems.
  • GIS stores overall information about the world.

Advantages of GIS

  • GIS performs geographic queries and analysis.
  • It reduces land acquisition and fleet maintenance costs through better analysis and logistics.
  • It analyzes data quickly.
  • It improves organizational integration.
  • GIS is not an automated decision making system but it makes better decision about the location.
  • GIS is the process of making maps where people can compare the locations of different things to discover how they are related to each other.
  • It is more flexible than automated cartography.
  • It allows you to bring all types of data together based on the geographic and locational component of the data.

DSS

  • DSS stands for Decision Support System.
  • It is a computer program application that supports business and organizational decision-making activities.
  • It is an interactive software – based system.
  • It helps user to make decisions based on the data obtained from a wide range of sources.
  • It helps decision makers to compile useful information from raw data, documents, personal knowledge and business models to identify and solve problems & make decisions.
  • It is used in many fields such as medical diagnosis, credit loan verification, agricultural production, policy levels, forest management, etc.
  • It gathers and presents the data from a wide range of sources, used for business purposes.