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SPATIOTEMPORAL DATA ORGANIZATION AND APPLICATION RESEARCH

C. Tan, S. Yan
2017 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Oriented to support intelligent applications,this paper proposes an organizational model for spatiotemporal data, and details the construction of a spatiotemporal big data calculation, analysis, and service  ...  framework for highly efficient management and intelligent application of spatiotemporal data for the entire data life cycle.  ...  At the same time, it is necessary to further study the temporal and spatial data analysis methods and dynamic monitoring and evaluation models, especially the real-time data.  ... 
doi:10.5194/isprs-archives-xlii-2-w7-1363-2017 fatcat:tdtcpgbfr5an3b6aixss6yk7fy

Spatiotemporal Evolution Patterns of the COVID-19 Pandemic Using Space-Time Aggregation and Spatial Statistics: A Global Perspective

Zechun Huang
2021 ISPRS International Journal of Geo-Information  
Hence, various spatial statistical methods, such as the heat map, global Moran's I, geographic mean center, and emerging hot spot analysis were utilized comprehensively to mine and analyze spatiotemporal  ...  This study provides auxiliary decision-making information for pandemic prevention and control.  ...  The author is sincerely grateful for the comments of the anonymous reviewers and members of the editorial team. Conflicts of Interest: The author declare no conflict of interest.  ... 
doi:10.3390/ijgi10080519 fatcat:5w5b47cv6nh4ljbebuyjsji4j4

Anisotropic Diffusion for Improved Crime Prediction in Urban China

Yicheng Tang, Xinyan Zhu, Wei Guo, Ling Wu, Yaxin Fan
2019 ISPRS International Journal of Geo-Information  
Traditional crime prediction models reveal the spatiotemporal dynamics of crime risks, but usually ignore the environmental context of the geographic areas where crimes occur.  ...  We propose the use of anisotropic diffusion to include environmental factors of the evaluated geographic area in the traditional crime prediction model, thereby aiming to predict crime occurrence at a  ...  Acknowledgments: We gratefully acknowledge the anonymous reviewers for their insightful comments on the manuscript. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi8050234 fatcat:b246vyynxfgmdhjjf4tzcfzhze

An Advanced Systematic Literature Review on Spatiotemporal Analyses of Twitter Data

Enrico Steiger, João Porto de Albuquerque, Alexander Zipf
2015 Transactions on GIS  
Reviewed papers and their application domains have shown that the study of geographical processes by using spatiotemporal information from location-based social networks represent a promising and still  ...  The objective of this paper is to conduct a systematic literature review that provides an overview of the current state of research concerning methods and application for spatiotemporal analyses of the  ...  Spatiotemporal analyses of Twitter data -Systematic Literature Review  ... 
doi:10.1111/tgis.12132 fatcat:zfxu7rzev5fohl2ug42valw3ca

An Introductory Framework for Choosing Spatiotemporal Analytical Tools in Population-Level Eco-Epidemiological Research

Kaushi S. T. Kanankege, Julio Alvarez, Lin Zhang, Andres M. Perez
2020 Frontiers in Veterinary Science  
and descriptive analysis; (T2) spatial/spatiotemporal dependence and pattern recognition; (T3) spatial smoothing and interpolation; and (T4) geographic correlation studies (i.e., spatial modeling and  ...  The SATs described here include both those used for decades and also other relatively new tools.  ...  T4 Tools for Geographical Correlation Studies: Modeling and Regression Spatial Regression Models In geographic correlation studies in epidemiology, spatial regression analysis is commonly used to examine  ... 
doi:10.3389/fvets.2020.00339 pmid:32733923 pmcid:PMC7358365 fatcat:ctqlpsucabdybpyfjgf3jfgqha

SUGIURA Yoshio ed.: Shirizu Jinbun Chirigaku 3: Chiri Kuukan Bunseki (Series Human Geography 3: Geospatial Analysis) Tokyo: Asakura Shoten, 216 pp., 2003 (ISBN978-4-254-16713-9)

SAITO Hitoshi
2010 Geographical Review of Japan, Series B  
This part also explains GAM (Geographical Analysis Machine) using a case study analyzed by Openshaw, a UK geographer.  ...  This part also focuses on logistic models used to explain complex phenomena along with a case study of rural market systems.  ... 
doi:10.4157/geogrevjapanb.83.73 fatcat:pec6ujny6vdh5mxi5gsslhgkga

Uncovering Latent Mobility Patterns from Twitter During Mass Events

Enrico Steiger, Timothy Ellersiek, Bernd Resch, Alexander Zipf
2015 GI_FORUM - Journal for Geographic Information Science  
Our results of the observed spatiotemporally and semantically clustered tweets within the selected case study area have shown the possibility of deriving intra-urban event related mobility patterns with  ...  Previous work regarding Twitter analysis is mainly focused on the spatiotemporal classification of events.  ...  We also thank the existing social network community of Twitter for providing access to free available social media data.  ... 
doi:10.1553/giscience2015s525 fatcat:mzrutrrjrbcnlfd56hfa7bl4km

Interactive spatiotemporal modelling of health systems: the SEKS–GUI framework

Hwa-Lung Yu, Alexander Kolovos, George Christakos, Jiu-Chiuan Chen, Steve Warmerdam, Boris Dev
2007 Stochastic environmental research and risk assessment (Print)  
The wide applicability of SEKS-GUI is demonstrated by reviewing a selection of real-world case studies.  ...  .); expresses the health system's dependence structure using (ordinary and generalized) spatiotemporal covariance models; synthesizes core knowledge bases, empirical evidence and multi-sourced system uncertainty  ...  Real-world case studies The SEKS-GUI framework has been implemented in a long list of real-world cases studies.  ... 
doi:10.1007/s00477-007-0172-8 fatcat:7qsibrvp6neuzgrexhpejjbl54

Interactive spatiotemporal modelling of health systems: the SEKS–GUI framework

Hwa-Lung Yu, Alexander Kolovos, George Christakos, Jiu-Chiuan Chen, Steve Warmerdam, Boris Dev
2007 Stochastic environmental research and risk assessment (Print)  
The wide applicability of SEKS-GUI is demonstrated by reviewing a selection of real-world case studies.  ...  .); expresses the health system's dependence structure using (ordinary and generalized) spatiotemporal covariance models; synthesizes core knowledge bases, empirical evidence and multi-sourced system uncertainty  ...  Real-world case studies The SEKS-GUI framework has been implemented in a long list of real-world cases studies.  ... 
doi:10.1007/s00477-007-0135-0 fatcat:xkfweiumcvevri37qazaaq2gkm

Assessing Similarity of Geographic Processes and Events

John McIntosh, May Yuan
2005 Transactions on GIS  
With a case study, we demonstrated the proposed indices and method capable of comparing spatiotemporal characteristics of events as recorded in a GIS database and categorizing spatiotemporal data into  ...  The increased availability of spatiotemporal data collected from satellite imagery and other remote sensors provides opportunities for enhanced analysis of geographic phenomena.  ...  In both cases, the events (i.e. storms) were modeled and tracked as GIS data objects, thus providing a basis for temporal queries and analysis.  ... 
doi:10.1111/j.1467-9671.2005.00214.x fatcat:lvtysjopufbjhnfe62evzr6dvy

ANALYSIS OF THE SPATIOTEMPORAL CHARACTERISTICS OF HEMORRHAGIC FEVER WITH RENAL SYNDROME IN HUBEI PROVINCE, CHINA

H. Fan, L. Ge, L. Song, Q. Zhao
2015 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In order to facilitate better prevention and control of HFRS in Hubei Province, in this paper, a GIS spatiotemporal analysis and modeling tool was developed to analyze the spatiotemporal dynamics of the  ...  Hemorrhagic fever with renal syndrome(HFRS) is a worldwide fulminant infectious disease.  ...  Data Processing All the data that include the HFRS case data,population data and base map data were used to build geographical information databases and a corresponding attributes database.  ... 
doi:10.5194/isprsannals-ii-4-w2-207-2015 fatcat:cn65hyt2jfblnhowixuhwptsnm

Real-time GIS data model and sensor web service platform for environmental data management

Jianya Gong, Jing Geng, Zeqiang Chen
2015 International Journal of Health Geographics  
With the development of information technology, a Geospatial Service Web method is proposed that can be employed for environmental data management.  ...  this study.  ...  This study draws lessons from existing spatiotemporal data models, analyses the evolutive mechanism of a spatiotemporal process, studies the retrieval of real-time observation data derived from sensors  ... 
doi:10.1186/1476-072x-14-2 pmid:25572659 pmcid:PMC4298078 fatcat:z3guu26ft5fcvao75p62vp6vbe

Spatial analysis and GIS in the study of COVID-19. A review

Ivan Franch-Pardo, Brian M. Napoletano, Fernando Rosete-Verges, Lawal Billa
2020 Science of the Total Environment  
This study entailed a review of 63 scientific articles on geospatial and spatial-statistical analysis of the geographical dimension of the 2019 coronavirus disease (COVID-19) pandemic.  ...  The diversity of themes identified in this paper can be grouped into the following categories of disease mapping: spatiotemporal analysis, health and social geography, environmental variables, data mining  ...  • Data processed with GIS and spatial statistics are important to study COVID-19. • Decision making is the principle objective of COVID-19 studies with GIS. • Geographical aspects of the study of COVID  ... 
doi:10.1016/j.scitotenv.2020.140033 pmid:32534320 pmcid:PMC7832930 fatcat:qjpnjimdinaohjyq36gjqjqmfm

Storm event representation and analysis based on a directed spatiotemporal graph model

Weibo Liu, Xingong Li, David A. Rahn
2015 International Journal of Geographical Information Science  
As shown in this case study, convective storm events identified using our methods are consistent with previous studies, and our analysis confirms that the left split/merger occurs more than right split  ...  Large amounts of time series of spatial snapshot data have been collected or generated for the monitoring and modeling of environmental systems.  ...  Acknowledgements The authors thank the editors and the three generous anonymous reviewers for their valuable comments and suggestions which helped us greatly improve the manuscript.  ... 
doi:10.1080/13658816.2015.1081910 fatcat:xl2b2jaysfa7tijf4dnllqmcru

A simple non-separable, non-stationary spatiotemporal model for ozone

Francesca Bruno, Peter Guttorp, Paul D. Sampson, Daniela Cocchi
2008 Environmental and Ecological Statistics  
For this reason, many studies assume both spatiotemporal stationarity, and the separability of spatial and temporal components.  ...  This paper proposes the use of a model in which non-separability arises from temporal non-stationarity. The model is used to analyze tropospheric ozone data from the Emilia-Romagna Region of Italy.  ...  Acknowledgements The research leading to this paper has been funded by a 2006 grant (project n. 2006139812.003, sector: Economics and Statistics) for researches of national interest by the Italian Ministry  ... 
doi:10.1007/s10651-008-0094-8 fatcat:5ui73l4ovfgunbtqznaetug3ze
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