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11 |
1. A point in the system where the performance is significantly limited or delayed.
2. The process of combining data from different sources into a unified view.
3. A data structure that enhances the performance of spatial queries by organizing spatial data in a way that supports efficient searching.
4. Data types that represent geometric objects such as points, lines, and polygons, allowing for the modeling of spatial features in a database.
5. A type of database specifically designed to store and manage spatial data, which includes information about the position, shape, and relationship of objects in space.
6. A network designed for the movement of people and goods, encompassing various modes of transport.
7. A specific location in a given space represented by a set of coordinates, such as latitude and longitude.
8. A discipline that focuses on the development and design of land use and the built environment.
9. Queries that involve location-based conditions, enabling the retrieval of data based on spatial relationships and geographic criteria.
10. The act of making data uniform to ensure consistency across different datasets.
11. The process of systematically sampling the environment to analyze and track changes over time.
12. A data storage approach where data is stored across multiple locations, enhancing access speed and reliability.
13. A method of representing spatial data through a grid of cells, where each cell holds a specific value representing a characteristic of the area it covers.
14. The capability of a system to handle a growing amount of work or its potential to accommodate growth.
15. An enclosed shape that represents areas or surfaces, defined by a series of connected lines forming a closed loop.
16. Data that changes dynamically over time and has a geographical component, essential for applications like navigation and traffic monitoring.