4. Spatial Information Technology
The chapter discusses the fundamental principles of Spatial Information Technology and its application in Geographical Information Systems (GIS). It explores the integration of spatial and attribute data, types of data used, and the advantages of GIS over traditional mapping methods. Furthermore, it emphasizes on data processing techniques and the importance of spatial analysis in decision-making.
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Sections
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What we have learnt
- Location-based data is integral to understanding spatial phenomena.
- GIS integrates spatial and non-spatial data to facilitate advanced analysis.
- Raster and vector formats serve as primary data representations in spatial databases.
Key Concepts
- -- Spatial Information Technology
- Technology used for collecting, storing, managing, and analyzing spatially-related information.
- -- Geographical Information System (GIS)
- A system for capturing, storing, checking, integrating, manipulating, analyzing, and displaying geographically-referenced data.
- -- Raster Data
- Data structure that represents spatial features as a grid pattern, useful for aerial images and other continuous data.
- -- Vector Data
- Data format representing the world using coordinates to outline points, lines, and polygons.
- -- Spatial Analysis
- The process of examining the locations, attributes, and relationships of features in spatial data.
Additional Learning Materials
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