Geospatial Analytics & Big Data Quiz

What is geospatial big data?

• Large amounts of data that are connected to specific geographic areas on the surface of the Earth

• Data collected from social media platforms like Twitter and Instagram

• Data collected from GPS and GNSS devices

• Data collected from remote sensing technologies

Which of the following is a source of geospatial big data?

• Satellite imagery

• Financial data

• Biological data

• Customer reviews

What is geospatial analytics?

• The process of collecting, analyzing, and interpreting data related to geographic locations

• The process of collecting and analyzing financial data

• The process of collecting and analyzing social media data

• The process of collecting and analyzing biological data

Which component of geospatial analytics involves the creation of maps?

• Geographic Information Systems (GIS)

• Remote Sensing

• Spatial Analysis

• Cartography

What can organizations achieve by combining geospatial data with big data?

• Deeper insights and wiser decisions

• Faster data processing

• Increased data storage capacity

• Improved data visualization

Which industry uses geospatial big data to optimize routes and reduce operational costs?

• Transportation

• Healthcare

• Education

• Entertainment

What is one of the applications of geospatial analytics and big data in urban planning?

• Optimizing energy use

• Analyzing biological data

• Monitoring climate change

• Enhancing transportation systems

How can geospatial analytics and big data be used in agriculture?

• Optimizing crop management

• Analyzing financial data

• Monitoring social media trends

• Predicting weather patterns

Which programming language is commonly used for geographic data analysis?

• Python

• Java

• JavaScript

• SQL

What is the purpose of SQL in geospatial analytics?

• Managing and querying geospatial data in relational databases

• Creating interactive web-based geospatial apps

• Performing spatial operations and managing geospatial data

• Reading, writing, and manipulating geospatial data