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.
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