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8,718 Results Found

  • Article
  • Open Access
179 Citations
24,209 Views
33 Pages

Spatiotemporal Data Mining: A Computational Perspective

  • Shashi Shekhar,
  • Zhe Jiang,
  • Reem Y. Ali,
  • Emre Eftelioglu,
  • Xun Tang,
  • Venkata M. V. Gunturi and
  • Xun Zhou

28 October 2015

Explosive growth in geospatial and temporal data as well as the emergence of new technologies emphasize the need for automated discovery of spatiotemporal knowledge. Spatiotemporal data mining studies the process of discovering interesting and previo...

  • Article
  • Open Access
5 Citations
2,092 Views
25 Pages

In the era of big data, a significant volume of spatiotemporal data exists in a multiscale format, describing diverse phenomena in the objective world across different spatial and temporal scales. While existing methods focus on analyzing the feature...

  • Review
  • Open Access
12 Citations
5,595 Views
24 Pages

Spatiotemporal Data Mining Problems and Methods

  • Eleftheria Koutsaki,
  • George Vardakis and
  • Nikolaos Papadakis

14 June 2023

Many scientific fields show great interest in the extraction and processing of spatiotemporal data, such as medicine with an emphasis on epidemiology and neurology, geology, social sciences, meteorology, and a great interest is also observed in the s...

  • Article
  • Open Access
21 Citations
5,865 Views
27 Pages

Evaluation Procedures for Forecasting with Spatiotemporal Data

  • Mariana Oliveira,
  • Luís Torgo and
  • Vítor Santos Costa

23 March 2021

The increasing use of sensor networks has led to an ever larger number of available spatiotemporal datasets. Forecasting applications using this type of data are frequently motivated by important domains such as environmental monitoring. Being able t...

  • Article
  • Open Access
3 Citations
2,437 Views
18 Pages

18 October 2022

With the emergence of a large number of fuzzy spatiotemporal data on the Web, how to represent and operate fuzzy spatiotemporal data has become an important research issue. Meanwhile, the Resource Description Framework (RDF) is a standard data and kn...

  • Article
  • Open Access
46 Citations
9,758 Views
12 Pages

GeoSOT-Based Spatiotemporal Index of Massive Trajectory Data

  • Chunyao Qian,
  • Chao Yi,
  • Chengqi Cheng,
  • Guoliang Pu,
  • Xiaofeng Wei and
  • Huangchuang Zhang

With the rapid development of global positioning technologies and the pervasiveness of intelligent mobile terminals, trajectory data have shown a sharp growth trend both in terms of data volume and coverage. In recent years, increasing numbers of LBS...

  • Article
  • Open Access
27 Citations
8,263 Views
16 Pages

The increasing use of mobile devices and the growing popularity of location-based ser-vices have generated massive spatiotemporal data over the last several years. While it provides new opportunities to enhance our understanding of various urban dyna...

  • Article
  • Open Access
3 Citations
3,371 Views
23 Pages

Spatiotemporal RDF Data Query Based on Subgraph Matching

  • Xiangfu Meng,
  • Lin Zhu,
  • Qing Li and
  • Xiaoyan Zhang

Resource Description Framework (RDF), as a standard metadata description framework proposed by the World Wide Web Consortium (W3C), is suitable for modeling and querying Web data. With the growing importance of RDF data in Web data management, there...

  • Article
  • Open Access
436 Views
39 Pages

Crowdsensing data serves as a crucial resource for supporting spatiotemporal applications and services. However, its inherent heterogeneity and quality uncertainty present significant challenges for data usability assessment: the evaluation methods a...

  • Article
  • Open Access
1 Citations
1,850 Views
20 Pages

SbMBR Tree—A Spatiotemporal Data Indexing and Compression Algorithm for Data Analysis and Mining

  • Runda Guan,
  • Ziyu Wang,
  • Xiaokang Pan,
  • Rongjie Zhu,
  • Biao Song and
  • Xinchang Zhang

22 September 2023

In the field of data analysis and mining, adopting efficient data indexing and compression techniques to spatiotemporal data can significantly reduce computational and storage overhead for the abilities to control the volume of data and exploit the s...

  • Review
  • Open Access
100 Citations
16,138 Views
16 Pages

Spatiotemporal Data Clustering: A Survey of Methods

  • Zhicheng Shi and
  • Lilian S.C. Pun-Cheng

Large quantities of spatiotemporal (ST) data can be easily collected from various domains such as transportation, social media analysis, crime analysis, and human mobility analysis. The development of ST data analysis methods can uncover potentially...

  • Article
  • Open Access
3 Citations
2,483 Views
22 Pages

14 May 2022

Spatiotemporal scale is a basic component of geographical problems because the size of spatiotemporal units may have a significant impact on the aggregation of spatial data and the corresponding analysis results. However, there is no clear standard f...

  • Article
  • Open Access

OFF-SETT: A Semantic Framework for Annotating Trends in Spatiotemporal Data

  • Camille Bernard,
  • Jérôme Gensel,
  • Daniela F. Milon-Flores,
  • Gregory Giuliani and
  • Marlène Villanova

The world is undergoing rapid transformations driven by climate change, socio-economic pressures, and geopolitical tensions. Monitoring these dynamics is essential to understand and anticipate territorial change. Although initiatives such as the Euro...

  • Article
  • Open Access
3 Citations
2,770 Views
24 Pages

A Study on a Spatiotemporal Entity-Based Event Data Model

  • Mingming Wang,
  • Jiangshui Zhang,
  • Yibing Cao,
  • Shenghui Li and
  • Minjie Chen

An event is an important medium for recording, expressing, and understanding the real world. Additionally, a data model can provide a digital and structured description method for the real world. Therefore, studying event data models is highly import...

  • Article
  • Open Access
226 Views
20 Pages

Visual analysis provides a powerful approach for exploring multidimensional spatiotemporal data, yet it faces significant challenges in simultaneously representing temporal and spatial attributes. A key limitation is the difficulty of visually encodi...

  • Article
  • Open Access
16 Citations
4,179 Views
20 Pages

Analysis of Spatiotemporal Data Imputation Methods for Traffic Flow Data in Urban Networks

  • Endra Joelianto,
  • Muhammad Farhan Fathurrahman,
  • Herman Yoseph Sutarto,
  • Ivana Semanjski,
  • Adiyana Putri and
  • Sidharta Gautama

The increase in traffic in cities world-wide has led to a need for better traffic management systems in urban networks. Despite the advances in technology for traffic data collection, the collected data are still suffering from significant issues, su...

  • Article
  • Open Access
3 Citations
2,103 Views
15 Pages

6 July 2023

With the popularity of spatiotemporal big data applications, more and more sensitive data are generated by users, and the sharing and secure storage of spatiotemporal big data are faced with many challenges. In response to these challenges, the prese...

  • Article
  • Open Access
4 Citations
3,354 Views
24 Pages

Optimized Spatiotemporal Data Scheduling Based on Maximum Flow for Multilevel Visualization Tasks

  • Qing Zhu,
  • Meite Chen,
  • Bin Feng,
  • Yan Zhou,
  • Maosu Li,
  • Zhaowen Xu,
  • Yulin Ding,
  • Mingwei Liu,
  • Wei Wang and
  • Xiao Xie

Massive spatiotemporal data scheduling in a cloud environment play a significant role in real-time visualization. Existing methods focus on preloading, prefetching, multithread processing and multilevel cache collaboration, which waste hardware resou...

  • Article
  • Open Access
656 Views
22 Pages

28 October 2025

With the rapid development of smart water distribution systems, real-time monitoring data from large-scale sensor networks plays a critical role in system optimization and failure prediction. However, sensor data quality is often compromised by fault...

  • Article
  • Open Access
9 Citations
5,601 Views
23 Pages

A Review of Spatiotemporal Models for Count Data in R Packages. A Case Study of COVID-19 Data

  • Maria Victoria Ibañez,
  • Marina Martínez-Garcia and
  • Amelia Simó

1 July 2021

Spatiotemporal models for count data are required in a wide range of scientific fields, and they have become particularly crucial today because of their ability to analyze COVID-19-related data. The main objective of this paper is to present a review...

  • Article
  • Open Access
1,805 Views
15 Pages

13 September 2024

An information-theoretic data mining method is employed to analyze categorical spatiotemporal Geographic Information System land use data. Reconstructability Analysis (RA) is a maximum-entropy-based data modeling methodology that works exclusively wi...

  • Article
  • Open Access
14 Citations
6,742 Views
19 Pages

4D Time Density of Trajectories: Discovering Spatiotemporal Patterns in Movement Data

  • Yebin Zou,
  • Yijin Chen,
  • Jing He,
  • Gehu Pang and
  • Kaixuan Zhang

Modern positioning and sensor technology enable the acquisition of movement positions and attributes on an unprecedented scale. Therefore, a large amount of trajectory data can be used to analyze various movement phenomena. In cartography, a common w...

  • Article
  • Open Access
5 Citations
4,507 Views
16 Pages

Spatiotemporal Analysis of Taxi-Driver Shifts Using Big Trace Data

  • Luling Cheng,
  • Xue Yang,
  • Luliang Tang,
  • Qian Duan,
  • Zihan Kan,
  • Xia Zhang and
  • Xinyue Ye

In taxi management, taxi-driver shift behaviors play a key role in arranging the operation of taxis, which affect the balance between the demand and supply of taxis and the parking spaces. At the same time, these behaviors influence the daily travel...

  • Article
  • Open Access
23 Citations
6,189 Views
18 Pages

An Improved Spatiotemporal Data Fusion Method Using Surface Heterogeneity Information Based on ESTARFM

  • Mengxue Liu,
  • Xiangnan Liu,
  • Xiaobin Dong,
  • Bingyu Zhao,
  • Xinyu Zou,
  • Ling Wu and
  • Hejie Wei

9 November 2020

The use of the spatiotemporal data fusion method as an effective data interpolation method has received extensive attention in remote sensing (RS) academia. The enhanced spatial and temporal adaptive reflectance fusion model (ESTARFM) is one of the m...

  • Article
  • Open Access
1 Citations
3,749 Views
20 Pages

A Management Method of Multi-Granularity Dimensions for Spatiotemporal Data

  • Wen Cao,
  • Wenhao Liu,
  • Xiaochong Tong,
  • Jianfei Wang,
  • Feilin Peng,
  • Yuzhen Tian and
  • Jingwen Zhu

To understand the complex phenomena in social space and monitor the dynamic changes in people’s tracks, we need more cross-scale data. However, when we retrieve data, we often ignore the impact of multi-scale, resulting in incomplete results. T...

  • Article
  • Open Access
11 Citations
7,701 Views
19 Pages

An Environmental Monitoring System for Managing Spatiotemporal Sensor Data over Sensor Networks

  • Su Wook Ha,
  • Yang Koo Lee,
  • Thi Hong Nhan Vu,
  • Young Jin Jung and
  • Keun Ho Ryu

27 March 2012

In a wireless sensor network, sensors collect data about natural phenomena and transmit them to a server in real-time. Many studies have been conducted focusing on the processing of continuous queries in an approximate form. However, this approach is...

  • Article
  • Open Access
1,043 Views
20 Pages

11 April 2025

With the development of high-performance computers, cloud storage, and advanced sensors, people’s ability to gather complex learning data has greatly improved. However, analyzing these data remains a significant challenge. Especially for spatio...

  • Article
  • Open Access
48 Citations
9,288 Views
22 Pages

Mapping Population Distribution with High Spatiotemporal Resolution in Beijing Using Baidu Heat Map Data

  • Wenxuan Bao,
  • Adu Gong,
  • Tong Zhang,
  • Yiran Zhao,
  • Boyi Li and
  • Shuaiqiang Chen

12 January 2023

Population distribution data with high spatiotemporal resolution are of significant value and fundamental to many application areas, such as public health, urban planning, environmental change, and disaster management. However, such data are still no...

  • Article
  • Open Access
2 Citations
1,831 Views
22 Pages

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

  • Rongjun Xiong,
  • Zeqiang Chen,
  • Huiwen Pan,
  • Dongyang Liu,
  • Aiguo Sun and
  • Nengcheng Chen

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...

  • Article
  • Open Access
25 Citations
5,329 Views
15 Pages

Detecting and Evaluating Urban Clusters with Spatiotemporal Big Data

  • Luliang Tang,
  • Jie Gao,
  • Chang Ren,
  • Xia Zhang,
  • Xue Yang and
  • Zihan Kan

23 January 2019

The design of urban clusters has played an important role in urban planning, but realizing the construction of these urban plans is quite a long process. Hence, how the progress is evaluated is significant for urban managers in the process of urban c...

  • Article
  • Open Access
26 Citations
5,523 Views
14 Pages

The main objective of this study is to explore the spatiotemporal activities pattern of bicycle sharing system by combining together temporal and spatial attributes variables through clustering analysis method. Specifically, three clustering algorith...

  • Article
  • Open Access
1 Citations
2,724 Views
18 Pages

4 December 2024

High-dimensional meteorological data offer a comprehensive overview of meteorological conditions. Nevertheless, predicting regional high-dimensional meteorological data poses challenges due to the vast scale and rapid changes. Apart from slow convent...

  • Article
  • Open Access
2 Citations
2,130 Views
31 Pages

28 November 2024

This study presents a robust framework designed to address the limitations of passive infrared (PIR) sensors in home-based elderly monitoring, particularly focusing on false detections and sensor blind times, which compromise data accuracy. While PIR...

  • Article
  • Open Access
293 Views
13 Pages

30 December 2025

Significant changes in the global climate are a focus of widespread concern, with profound implications for economies, daily life, and sustainable development. Analyzing and forecasting these trends relies heavily on meteorological data, which typica...

  • Article
  • Open Access
2,377 Views
24 Pages

Creation of a Spatiotemporal Algorithm and Application to COVID-19 Data

  • Natalia Bou Sakr,
  • Gihane Mansour and
  • Yahia Salhi

18 August 2024

This study offers an in-depth analysis of the COVID-19 pandemic’s trajectory in several member countries of the European Union (EU) in order to assess similarities in their crisis experiences. We also examine data from the United States to faci...

  • Article
  • Open Access
967 Views
30 Pages

Distance Transform-Based Spatiotemporal Model for Approximating Missing NDVI from Satellite Data

  • Amirhossein Mirtabatabaeipour,
  • Lakin Wecker,
  • Majid Amirfakhrian and
  • Faramarz F. Samavati

10 October 2025

One widely used method for analyzing vegetation growth from satellite imagery is the Normalized Difference Vegetation Index (NDVI), a key metric for assessing vegetation dynamics. NDVI varies not only spatially but also temporally, which is essential...

  • Article
  • Open Access
1,607 Views
17 Pages

23 November 2024

Represention and modeling the dynamic landslide scenes is essential for gaining a comprehensive understanding and managing them effectively. Existing models, which focus on a single scale make it difficult to fully express the complex, multi-scale sp...

  • Article
  • Open Access
26 Citations
5,927 Views
22 Pages

Spatiotemporal Patterns of Carbon Emissions and Taxi Travel Using GPS Data in Beijing

  • Jinlei Zhang,
  • Feng Chen,
  • Zijia Wang,
  • Rui Wang and
  • Shunwei Shi

27 February 2018

Taxis are significant contributors to carbon dioxide emissions due to their frequent usage, yet current research into taxi carbon emissions is insufficient. Emerging data sources and big data–mining techniques enable analysis of carbon emissions, whi...

  • Article
  • Open Access
2,949 Views
17 Pages

Regarded as one of the most dangerous types of natural disaster, tropical cyclones threaten the life and health of human beings and often cause enormous economic loss. However, intensity forecasting of tropical cyclones, especially rapid intensificat...

  • Article
  • Open Access
18 Citations
3,787 Views
19 Pages

Spatiotemporal Big Data for PM2.5 Exposure and Health Risk Assessment during COVID-19

  • Hongbin He,
  • Yonglin Shen,
  • Changmin Jiang,
  • Tianqi Li,
  • Mingqiang Guo and
  • Ling Yao

The coronavirus disease 2019 (COVID-19) first identified at the end of 2019, significantly impacts the regional environment and human health. This study assesses PM2.5 exposure and health risk during COVID-19, and its driving factors have been analyz...

  • Article
  • Open Access
1,572 Views
25 Pages

DeepST-Net: Leveraging Spatiotemporal Data Refinement for Enhanced Travel Time Prediction

  • Amira Benlecheb,
  • Ahmed-Chawki Chaouche,
  • Brahim Benabderrahmane and
  • Gregorio Díaz

8 February 2025

Accurate travel time prediction is essential for optimizing transportation systems and alleviating congestion in urban environments. This study introduces a comprehensive framework that combines advanced spatiotemporal data refinement techniques with...

  • Article
  • Open Access
31 Citations
4,531 Views
25 Pages

Big-Data-Driven Machine Learning for Enhancing Spatiotemporal Air Pollution Pattern Analysis

  • Mateusz Zareba,
  • Hubert Dlugosz,
  • Tomasz Danek and
  • Elzbieta Weglinska

21 April 2023

Air pollution is an important problem for public health. The spatiotemporal analysis is a crucial step for understanding the complex characteristics of air pollution. Using many sensors and high-resolution time-step observations makes this task a big...

  • Article
  • Open Access
5 Citations
2,791 Views
21 Pages

An open problem impeding the use of deep learning (DL) models for forecasting land cover (LC) changes is their bias toward persistent cells. By providing sample weights for model training, LC changes can be allocated greater influence in adjustments...

  • Article
  • Open Access
20 Citations
3,823 Views
23 Pages

2 October 2021

High-frequency monitoring of suspended particulate matter (SPM) concentration can improve water resource management. Missing high-resolution satellite images could hamper remote-sensing SPM monitoring. This study resolved the problem by applying spat...

  • Review
  • Open Access
485 Citations
30,954 Views
23 Pages

29 March 2018

Satellite time series with high spatial resolution is critical for monitoring land surface dynamics in heterogeneous landscapes. Although remote sensing technologies have experienced rapid development in recent years, data acquired from a single sate...

  • Article
  • Open Access
8 Citations
3,360 Views
16 Pages

24 January 2024

Meteorological time series, such as rainfall data, show spatiotemporal characteristics and are often faced with the problem of containing missing values. Discarding missing values or modeling data with missing values causes negative impacts on the ac...

  • Article
  • Open Access
5 Citations
3,087 Views
29 Pages

4 December 2020

With the rapid development of LBSs (location-based services) in recent years, researchers have increasingly taken an interest in trying to make travel routes more practicable and individualized. Despite the fact that many studies have been conducted...

  • Article
  • Open Access
3 Citations
2,714 Views
19 Pages

10 January 2025

Outdoor fire detection faces significant challenges due to complex and variable environmental conditions. Fiber Optic Distributed Temperature Sensing (FO-DTS), recognized for its high sensitivity and broad monitoring range, provides significant advan...

  • Article
  • Open Access
1,435 Views
31 Pages

Spatiotemporal Modeling of Connected Vehicle Data: An Application to Non-Congregate Shelter Planning During Hurricane-Pandemics

  • Davison Elijah Tsekeni,
  • Onur Alisan,
  • Jieya Yang,
  • O. Arda Vanli and
  • Eren Erman Ozguven

14 March 2025

The growing complexity of natural disasters, intensified by climate change, has amplified the challenges of managing emergency shelter demand. Accurate shelter demand forecasting is crucial to optimize resource allocation, prevent overcrowding, and e...

  • Article
  • Open Access
37 Citations
6,325 Views
21 Pages

The use of social media data provided powerful data support to reveal the spatiotemporal characteristics and mechanisms of human activity, as it integrated rich spatiotemporal and textual semantic information. However, previous research has not fully...

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