STPam: Software for Intelligently Analyzing and Mining Spatiotemporal Processes Based on Multi-Source Big Data

STPam: Software for Intelligently Analyzing and Mining Spatiotemporal Processes Based on Multi-Source Big Data

Analyzing and mining spatiotemporal processes refers to the extraction of geographic phenomena from spatiotemporal data and the analysis of available geographic knowledge and patterns. It finds applications in various fields such as natural disaster evolution, environmental pollution, and human beha...

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Bibliographic Details
Main Authors: Rongjun Xiong, Zeqiang Chen, Huiwen Pan, Dongyang Liu, Aiguo Sun, Nengcheng Chen
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:ISPRS International Journal of Geo-Information
Subjects:
spatiotemporal process
deep learning
distributed computing
big data analysis and mining
Online Access:https://www.mdpi.com/2220-9964/14/2/69
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