Raster data structure

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Raster data structure is a data model used to represent geographic information in the form of gridded cells, also known as pixels. It is a type of vector data structure used to store and analyze large amounts of spatial data, such as satellite images, aerial photographs, topographic maps, and other types of geographic data. In this article, we will discuss raster data structure, its characteristics, advantages, and disadvantages.

Characteristics of Raster Data Structure

1. Pixel-based representation: Raster data structure uses a pixel-based representation, where each pixel represents a small area on the Earth's surface. The resolution of the raster data is defined by the size of the pixel. Higher resolution means smaller pixel size, and hence more detailed data representation.

2. Continuous and Discrete data: Raster data structure can represent both continuous and discrete data. Continuous data includes elevation, temperature, and precipitation, while discrete data includes land use, vegetation, and soil type.

3. Spatial Analysis: Raster data structure is used for spatial analysis, such as terrain ___________ ________ __ ____________ ______ _______ _____________ _____ __________.
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Degree : PG DIPLOMA PROGRAMMES
Course Name : Post Graduate Diploma in Geoinformatics
Course Code : PGDGI
Subject Name : Global Navigation Satellite System and Geographic Information System
Subject Code : MGY 103
Year : 2023