Geography ยท Computer Knowledge
Geospatial Data Infrastructure
3,158 Questions
Geospatial data infrastructure involves the technology, policies, and standards required to acquire and share geographic information. It covers tools like Geographic Information Systems and GPS in sectors such as agriculture, healthcare, and disaster management. This topic is essential for geography optional papers and general studies exams.
Geographic Information SystemsSpatial decision support systemsData governance and sharingGPS in disaster managementEnvironmental conservation mapping
Geospatial Data Infrastructure Questions
Which technology is used for ensuring the accuracy and quality of geospatial data in GDI?
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Data Validation
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Data Cleaning
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Data Harmonization
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Data Standardization
A
Correct answer
Explanation
Data validation is commonly used in GDI to ensure the accuracy and quality of geospatial data. It involves checking the data for errors, inconsistencies, and outliers, and correcting or removing them to improve the reliability of the data.
Which technology is used for integrating and combining different types of geospatial data in GDI?
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Data Integration
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Data Fusion
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Data Harmonization
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Data Standardization
A
Correct answer
Explanation
Data integration is commonly used in GDI to integrate and combine different types of geospatial data from various sources. It involves bringing together data from different formats, scales, and projections, and creating a unified dataset for analysis and visualization.
Which technology is used for analyzing and extracting insights from geospatial data in GDI?
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Spatial Analysis
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Geospatial Modeling
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Remote Sensing
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GIS (Geographic Information System)
A
Correct answer
Explanation
Spatial analysis is commonly used in GDI to analyze and extract insights from geospatial data. It involves applying statistical, mathematical, and geospatial techniques to identify patterns, relationships, and trends in the data, enabling users to gain insights and make informed decisions.
Which technology is used for ensuring the interoperability and seamless exchange of geospatial data in GDI?
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Data Standards
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Metadata
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Web Mapping Services (WMS)
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Geospatial Ontology
A
Correct answer
Explanation
Data standards are commonly used in GDI to ensure the interoperability and seamless exchange of geospatial data. They define common data formats, structures, and protocols, enabling different systems and applications to communicate and share data effectively.
Which technology is used for representing and reasoning about geospatial knowledge in GDI?
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Geospatial Ontology
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Semantic Web
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Linked Data
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Knowledge Graph
A
Correct answer
Explanation
Geospatial ontology is commonly used in GDI for representing and reasoning about geospatial knowledge. It provides a formal framework for defining and organizing geospatial concepts, relationships, and properties, enabling computers to understand and reason about geographic information.
Which technology is used for storing and managing large volumes of geospatial data in GDI?
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Cloud Computing
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Big Data Analytics
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NoSQL Database
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Hadoop
A
Correct answer
Explanation
Cloud Computing is commonly used in GDI for storing and managing large volumes of geospatial data. It provides scalable and cost-effective storage solutions, allowing users to store and access geospatial data from anywhere, anytime.
What is the primary purpose of geospatial data metadata?
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To provide information about the data's accuracy and reliability.
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To describe the data's content and structure.
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To facilitate the discovery and use of the data.
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To ensure the data is used in a responsible and ethical manner.
B
Correct answer
Explanation
Geospatial data metadata provides information about the data's content, structure, and quality, making it easier for users to understand and use the data.
Which ethical principle emphasizes the importance of using geospatial data in a way that promotes social justice and equity?
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Accuracy and Reliability
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Transparency and Accountability
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Privacy and Confidentiality
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Social Justice and Equity
D
Correct answer
Explanation
Social Justice and Equity is the ethical principle that emphasizes the importance of using geospatial data in a way that promotes social justice and equity.
Which ethical principle emphasizes the importance of being transparent about the sources, methods, and limitations of geospatial data?
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Accuracy and Reliability
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Transparency and Accountability
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Privacy and Confidentiality
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Non-Maleficence
B
Correct answer
Explanation
Transparency and Accountability is the ethical principle that emphasizes the importance of being transparent about the sources, methods, and limitations of geospatial data.
Which ethical principle emphasizes the importance of avoiding harm to individuals or communities as a result of the use of geospatial data?
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Accuracy and Reliability
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Transparency and Accountability
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Privacy and Confidentiality
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Non-Maleficence
D
Correct answer
Explanation
Non-Maleficence is the ethical principle that emphasizes the importance of avoiding harm to individuals or communities as a result of the use of geospatial data.
Which ethical principle emphasizes the importance of ensuring that geospatial data is accurate, reliable, and up-to-date?
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Accuracy and Reliability
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Transparency and Accountability
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Privacy and Confidentiality
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Non-Maleficence
A
Correct answer
Explanation
Accuracy and Reliability is the ethical principle that emphasizes the importance of ensuring that geospatial data is accurate, reliable, and up-to-date.
Which ethical principle emphasizes the importance of ensuring that geospatial data is used in a responsible and ethical manner?
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Accuracy and Reliability
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Transparency and Accountability
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Privacy and Confidentiality
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Responsible and Ethical Use
D
Correct answer
Explanation
Responsible and Ethical Use is the ethical principle that emphasizes the importance of ensuring that geospatial data is used in a responsible and ethical manner.
What is the primary purpose of data modeling in the context of geographical data warehousing?
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To represent the real-world entities and their relationships in a structured manner.
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To optimize the storage and retrieval of data.
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To ensure data consistency and integrity.
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To facilitate data analysis and decision-making.
A
Correct answer
Explanation
Data modeling in geographical data warehousing aims to create a conceptual representation of the real-world entities and their relationships relevant to the domain of Indian Geography. This structured representation serves as the foundation for designing the schema and organizing the data in the data warehouse.
What is the role of a schema in geographical data warehousing?
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To define the structure and organization of data in the data warehouse.
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To specify the data types and constraints for each attribute.
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To establish relationships between different entities in the data warehouse.
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All of the above.
D
Correct answer
Explanation
A schema in geographical data warehousing serves multiple purposes. It defines the structure of the data warehouse by specifying the tables, columns, and their data types. It also defines constraints to ensure data integrity and consistency. Additionally, it establishes relationships between different entities in the data warehouse, allowing for efficient data retrieval and analysis.
What is the purpose of using surrogate keys in geographical data warehousing?
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To improve data integrity and consistency.
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To optimize data storage and retrieval.
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To facilitate data analysis and decision-making.
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To support data integration from multiple sources.
A
Correct answer
Explanation
Surrogate keys are artificial keys used to uniquely identify records in a table. They are often used in geographical data warehousing to improve data integrity and consistency by eliminating the risk of duplicate or missing values in the primary key column.