Analyzing Essential Biodiversity Variables with the VAT System

The Essential Biodiversity Variables (EBVs) are important information sources for scientists and decision makers. They are developed and promoted by the Group on Earth Observations Biodiversity Observation Network (GEO BON) together with the community. EBVs provide an abstraction level between measurements and indicators. This enables access to biodiversity observations and allows different groups of users to detect temporal trends as well as regional deviations. In particular, the analysis of EBVs supports finding countermeasures for current important challenges like biodiversity loss and climate change. A visual assessment is an intuitive way to drive the analysis. As one example, researchers can recognize and interpret the changes of forest cover maps over time. The VAT System, in which VAT is an acronym for visualization, analysis and transformation, is an ideal candidate platform for the creation of such an analytical application. It is a geographical processing system that supports a variety of spatio-temporal data types and allows computations using heterogeneous data. For user interaction, it offers a web-based user interface that is built with state-of-the-art web technology. Users can perform interactive analysis of spatio-temporal data by visualizing data on maps and using various graphs and diagrams that are linked to the user’s area of interest. Furthermore, users are enabled to browse through the temporal dimension of the data using a time slider tool. This provides an easy access to large spatio-temporal data sets. One exemplary use case is the creation of EBV statistics for selected countries or areas. This functionality is provided as an app that is built upon the VAT System. Here, users select EBVs, a time range and a metric, and create temporal charts that display developments over time. The charts are constructed internally by employing R scripts that were created by domain experts. The scripts are executed using VAT’s R connectivity module. Finally, users can export the results to their local computers. An export contains the result itself and additionally, a list of citations of the included EBVs as well as a workflow description of all processing steps for reasons of reproducibility. Such a use case exemplifies the suitability of the VAT System to facilitate the creation of similar projects or applications without the need of programming, using VAT’s modular and flexible components.

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Multi-version Tensor Completion for Time-delayed Spatio-temporal Data

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence ◽

10.24963/ijcai.2021/400 ◽

2021 ◽

Author(s):

Cheng Qian ◽

Nikos Kargas ◽

Cao Xiao ◽

Lucas Glass ◽

Nicholas Sidiropoulos ◽

...

Keyword(s):

Real World ◽

Mean Squared Error ◽

Ground Truth ◽

Low Rank ◽

Tensor Model ◽

Temporal Data ◽

Tensor Completion ◽

Spatio Temporal ◽

Tensor Data ◽

Over Time

Real-world spatio-temporal data is often incomplete or inaccurate due to various data loading delays. For example, a location-disease-time tensor of case counts can have multiple delayed updates of recent temporal slices for some locations or diseases. Recovering such missing or noisy (under-reported) elements of the input tensor can be viewed as a generalized tensor completion problem. Existing tensor completion methods usually assume that i) missing elements are randomly distributed and ii) noise for each tensor element is i.i.d. zero-mean. Both assumptions can be violated for spatio-temporal tensor data. We often observe multiple versions of the input tensor with different under-reporting noise levels. The amount of noise can be time- or location-dependent as more updates are progressively introduced to the tensor. We model such dynamic data as a multi-version tensor with an extra tensor mode capturing the data updates. We propose a low-rank tensor model to predict the updates over time. We demonstrate that our method can accurately predict the ground-truth values of many real-world tensors. We obtain up to 27.2% lower root mean-squared-error compared to the best baseline method. Finally, we extend our method to track the tensor data over time, leading to significant computational savings.

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Statistical Analysis of Spatio-Temporal Data Based on Poisson Conditional Autoregressive Model

Informatica ◽

10.15388/informatica.2015.39 ◽

2015 ◽

Vol 26 (1) ◽

pp. 67-87

Author(s):

Yuriy Kharin ◽

Maryna Zhurak

Keyword(s):

Statistical Analysis ◽

Autoregressive Model ◽

Temporal Data ◽

Conditional Autoregressive Model ◽

Conditional Autoregressive ◽

Spatio Temporal

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Reading Genesis Through Chronicles: The Creation of the Sons of Jacob

Journal of Ancient Judaism ◽

10.30965/21967954-00702002 ◽

2016 ◽

Vol 7 (2) ◽

pp. 138-168

Author(s):

Andrew Tobolowsky

Keyword(s):

Historical Memory ◽

Source Material ◽

Biblical Studies ◽

Dynamic Nature ◽

Dynamic Power ◽

The Creation ◽

Book Of Genesis ◽

Over Time

Scholars are increasingly aware of the dynamic nature of the interaction between the nine-chapter-long genealogy that begins the book of Chronicles and its source material. However, little attention has been paid to the role this interaction might have played in the creation of some key biblical ideas, particularly in the “eponymous imagination” of the tribes as literally the sons of Jacob. Through comparison with scholarly approaches to the pseudo-Hesiodic Catalogue of Women and an investigation into the ramifications for biblical studies of ethnic theory and historical memory on the fluidity of ethnicity and memory over time, this article seeks to reassess the dynamic power of the Chronicles genealogy as an ethnic charter for the elites of Persian Yehud. Focus on the distinctive imagination of Israel in the crucial narratives in the book of Genesis, as compared with narratives elsewhere in the primary history, and the contributions of the Chronicles genealogy to their redefinition, allows us to address the Bible’s dependence upon the lens the Chronicles genealogy imposes upon it.

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Intelligent transport systems. Spatio-temporal data dictionary for cooperative ITS and automated driving systems

10.3403/30354876 ◽

2018 ◽

Cited By ~ 1

Keyword(s):

Transport Systems ◽

Data Dictionary ◽

Temporal Data ◽

Automated Driving ◽

Intelligent Transport Systems ◽

Intelligent Transport ◽

Spatio Temporal

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Spatial-temporal data collection process models using mobile sinks

Geodesy and Cartography ◽

10.22389/0016-7126-2018-942-12-22-28 ◽

2019 ◽

Vol 942 (12) ◽

pp. 22-28

Author(s):

A.V. Materuhin ◽

V.V. Shakhov ◽

O.D. Sokolova

Keyword(s):

Energy Consumption ◽

Operation Time ◽

Point Of View ◽

Process Models ◽

Temporal Data ◽

Network Nodes ◽

Mobile Sinks ◽

Autonomous Operation ◽

Data Collection Process ◽

Spatio Temporal

Optimization of energy consumption in geosensor networks is a very important factor in ensuring stability, since geosensors used for environmental monitoring have limited possibilities for recharging batteries. The article is a concise presentation of the research results in the area of increasing the energy consumption efficiency for the process of collecting spatio-temporal data with wireless geosensor networks. It is shown that in the currently used configurations of geosensor networks there is a predominant direction of the transmitted traffic, which leads to the fact that through the routing nodes that are close to the sinks, a much more traffic passes than through other network nodes. Thus, an imbalance of energy consumption arises in the network, which leads to a decrease in the autonomous operation time of the entire wireless geosensor networks. It is proposed to use the possible mobility of sinks as an optimization resource. A mathematical model for the analysis of the lifetime of a wireless geosensor network using mobile sinks is proposed. The model is analyzed from the point of view of optimization energy consumption by sensors. The proposed approach allows increasing the lifetime of wireless geosensor networks by optimizing the relocation of mobile sinks.

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The Case for a United Nations Parliamentary Assembly as a Means of Promoting Just Security

10.1093/oso/9780198805373.003.0016 ◽

2018 ◽

Author(s):

Luis Cabrera

Keyword(s):

United Nations ◽

General Assembly ◽

Democratic Accountability ◽

Un General Assembly ◽

The Creation ◽

Near Term ◽

Over Time

This chapter explores the case for a more formalized United Nations parliamentary assembly, including the potential oversight, accountability, and (ultimately) co-decision roles that such a body could play alongside the UN General Assembly. Given difficulties in expecting national parliamentarians to perform such functions continuously, a UN assembly is found to hold greater potential for promoting key UN system aims in the areas of security, justice, and democratic accountability, even as the existing Inter-Parliamentary Union continued to play some important complementary roles. Learning from relevant global and regional parliamentary bodies, the chapter outlines concrete steps toward developing a parliamentary assembly over time, including the creation of a more informal UN network of UN-focused national parliamentarians in the near term.

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