方法对比

	远程传感器数据采集	API数据收集
领域	调查方法论	调查方法论
方法族	Process / pipeline	Process / pipeline
起源年份	1990s–2000s (proliferated with wireless and IoT technologies)	2000s–2010s (formalized as a research method)
提出者	Multiple contributors; foundational wireless sensor network (WSN) survey by Akyildiz et al.	Emerged from computational social science and web 2.0 platform practices
类型	Automated quantitative data collection	Digital data collection technique
开创性文献	Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: A survey. Computer Networks, 38(4), 393–422.	Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 9780691158648
别名	remote sensing data acquisition, wireless sensor data collection, distributed sensor data collection, telemetric data collection	API data harvesting, API-driven data collection, programmatic data retrieval, API research data collection
相关	6	5
摘要	Remote sensor data collection is the systematic acquisition of measurements from geographically distributed sensing devices without requiring direct human presence at each location. Sensors continuously or periodically record physical, chemical, or biological variables — temperature, pressure, motion, light, GPS coordinates — and transmit readings wirelessly or via network to a central repository for analysis. Widely used in environmental monitoring, precision agriculture, health informatics, and smart infrastructure.	API-based data collection is a systematic technique in which a researcher sends structured requests to an application programming interface to retrieve data automatically from digital platforms, databases, or services. It is the primary method used in computational social science to gather large-scale social media records, government open data, financial data streams, and scientific repository content in machine-readable formats such as JSON or XML, enabling reproducible and scalable data acquisition that manual collection cannot match.