Spatio-temporal analysis of the development of the COVID-19 epidemic (pandemic) in Poland: First phase of development

The purpose of this study is to present a description of the course of the COVID-19 epidemic in Poland in the space-time dimension in the period from March 15th to August 8th 2020. The result of the conducted research is a presentation of the regional differentiation of the course of the epidemic in Poland, the comparison of the intensity of SARS-CoV-2 infections in particular voivodeships, the determination of the degree of similarity in the course of the pandemic development process in individual regions (voivodeships) of the country, and also the indication of the factors which could be taken into account when attempting to explain the interregional differences in the course of the epidemic. The conducted research shows, among other things, that: (1) in terms of time, the development of the epidemic was generally monotonic, however the increase in new infections was rather cyclical, (2) in the spatial dimension, the development of the epidemic was rather random, although the greatest number of infections was characteristic of the most populated regions of the country, (3) the level of infections in Poland was mainly positively influenced by: population density, working in industry, people beyond retirement, age as well as a poorly developed material base of inpatient care.

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Spatio-temporal analysis and determination of the ecological niche model of Giardia Lamblia (Lambl, 1859) in Ardabil province, northwestern Iran

Journal of Parasitic Diseases ◽

10.1007/s12639-020-01343-0 ◽

2021 ◽

Author(s):

Hafez Mirzanejad-Asl ◽

Afshin Karimi ◽

Navid Babaei pouya ◽

Eslam Moradi-Asl

Keyword(s):

Giardia Lamblia ◽

Ecological Niche ◽

Temporal Analysis ◽

Ecological Niche Model ◽

Niche Model ◽

Northwestern Iran ◽

Spatio Temporal

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Spatio-temporal topological relationships between land parcels in cadastral database

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsarchives-xl-6-89-2014 ◽

2014 ◽

Vol XL-6 ◽

pp. 89-92

Author(s):

W. Song ◽

F. Zhang

Keyword(s):

Spatial Dimension ◽

Temporal Data ◽

Time Dimension ◽

3 Dimensional ◽

Topological Relationships ◽

Temporal Space ◽

Temporal Relationships ◽

Temporal Data Models ◽

Spatio Temporal ◽

Spatiotemporal Relationships

There are complex spatio-temporal relationships among cadastral entities. Cadastral spatio-temporal data model should not only describe the data structure of cadastral objects, but also express cadastral spatio-temporal relationships between cadastral objects. In the past, many experts and scholars have proposed a variety of cadastral spatio-temporal data models, but few of them concentrated on the representation of spatiotemporal relationships and few of them make systematic studies on spatiotemporal relationships between cadastral objects. The studies on spatio-temporal topological relationships are not abundant. In the paper, we initially review current approaches to the studies of spatio-temporal topological relationships, and argue that spatio-temporal topological relation is the combination of temporal topology on the time dimension and spatial topology on the spatial dimension. Subsequently, we discuss and develop an integrated representation of spatio-temporal topological relationships within a 3-dimensional temporal space. In the end, based on the semantics of spatiotemporal changes between land parcels, we conclude the possible spatio-temporal topological relations between land parcels, which provide the theoretical basis for creating, updating and maintaining of land parcels in the cadastral database.

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Spatio-Temporal Analysis of Natural and Anthropogenic Arsenic Sources in Groundwater Flow Systems

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph15112374 ◽

2018 ◽

Vol 15 (11) ◽

pp. 2374 ◽

Cited By ~ 2

Author(s):

Claudia Avila-Sandoval ◽

Hugo Júnez-Ferreira ◽

Julián González-Trinidad ◽

Carlos Bautista-Capetillo ◽

Anuard Pacheco-Guerrero ◽

...

Keyword(s):

Temporal Analysis ◽

Indicator Kriging ◽

World Health ◽

Human Consumption ◽

Natural Background ◽

Background Levels ◽

Arsenic In Groundwater ◽

Flow Systems ◽

Spatio Temporal

The presence of arsenic in groundwater constitutes a hazard for the environment and human health, and the determination of its source has become a global challenge, which can be approached by defining the natural background levels (NBL) in conjunction with the indicator kriging method, with the aim of delineating anthropogenically contaminated areas. However, having a unique value of NBL for large areas can generate interpretation errors. This research integrates the determination of the flow systems present in the Calera Aquifer, and the definition of the natural background levels in each flow system by making estimation maps in ArcGIS using two databases, 10 years apart, to evaluate the spatio-temporal variation of arsenic in groundwater. The results indicate a notable increase in the probability of exceeding the arsenic NBL, mainly in the intermediate flow, which may be due to movement resulting from mining activities as well as a mixture of regional and intermediate flows caused by the extraction of water for agriculture and drinking water supplies. The presented values exceed the maximum limits allowed for human consumption, as stated by the World Health Organization.

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Spatio-temporal dependence-based tensor fusion for thermocline analysis in Argo data

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering ◽

10.1177/0959651820933735 ◽

2020 ◽

pp. 095965182093373

Author(s):

Yu Jiang ◽

Shenggeng Lin ◽

Jinjian Ruan ◽

Hong Qi

Keyword(s):

Short Term Memory ◽

Spatial Dimension ◽

Future Trend ◽

Time Dimension ◽

Temporal Dependence ◽

Argo Data ◽

Important Research Topic ◽

Long Short Term Memory ◽

Spatio Temporal ◽

Argo Project

As the ocean data acquired by the Argo project is increasingly huge, how to use artificial intelligence to analyze it so as to discover the distribution and variation of ocean temperature with space and time becomes an important research topic in the world. In this article, a spatio-temporal dependence-based tensor fusion method is proposed, which can be used to determine and analyze the thermocline. In the time dimension, long short-term memory is used to predict the temperature of seawater; in the spatial dimension, the thermocline is found incrementally by using tensor analysis. Experiments on BOA Argo data from 2004 to 2016 show that the proposed method can accurately determine the boundary of the thermocline and predict the future trend of the thermocline.

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Spatial-Temporal Analysis of the Economic and Environmental Coordination Development Degree in Liaoning Province

Geography Journal ◽

10.1155/2013/195635 ◽

2013 ◽

Vol 2013 ◽

pp. 1-8 ◽

Cited By ~ 3

Author(s):

Hui Wang ◽

Fan Liu ◽

Ying Yuan ◽

Liang Wang

Keyword(s):

Spatial Data ◽

Temporal Analysis ◽

Spatial Dimension ◽

Spatial Data Analysis ◽

Liaoning Province ◽

Time Dimension ◽

Temporal Dimension ◽

Northwestern Region ◽

Data Points ◽

Coordination Development

This study selects 20 indices of economic and environmental conditions over 15 years (1996–2010) for 14 cities in Liaoning province, China. We calculate the economic score and environmental score of each city by processing 4200 data points through SPSS 16.0 and establish synthesis functions between the economy and the environment. For the time dimension, we study the temporal evolution of the economic and environmental coordination development degree . Based on Exploratory Spatial Data Analysis (ESDA) techniques and using GeoDa, we calculate Moran's index of local spatial autocorrelation and explore the spatial distribution character of in Liaoning province through a LISA cluster map. As we found in the temporal dimension, the results show that of the 14 cities has been rising for 15 years and that increases year by year, which indicates that the economic and environmental coordination development condition has been improving from disorder to highly coordinated. A smaller gap between economic strength and environmental carrying capacity in Liaoning province exists, which means that economic development and environmental protection remain synchronized. In the spatial dimension, the highly coordinated cities have changed from a scattering to a concentration in the middle-south region of Liaoning province. Poorly coordinated cities are scattered in the northwestern region of Liaoning province.

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