The US COVID Atlas: A dynamic cyberinfrastructure surveillance system for interactive exploration of the pandemic [0.03%]
美国COVID图谱：一个动态网络基础设施监视系统 用于大流行病的交互式探索
Marynia Kolak,Xun Li,Qinyun Lin et al.
Marynia Kolak et al.
Distributed spatial infrastructures leveraging cloud computing technologies can tackle issues of disparate data sources and address the need for data-driven knowledge discovery and more sophisticated spatial analysis central to the COVID-19...
Analyzing spatial mobility patterns with time-varying graphical lasso: Application to COVID-19 spread [0.03%]
基于时间变化的图论LASSO的空间移动模式分析及其在COVID-19传播研究中的应用
Iván L Degano,Pablo A Lotito
Iván L Degano
This work applies the time-varying graphical lasso (TVGL) method, an extension of the traditional graphical lasso approach, to address learning time-varying graphs from spatiotemporal measurements. Given georeferenced data, the TVGL method ...
Comparing the space-time patterns of high-risk areas in different waves of COVID-19 in Hong Kong [0.03%]
香港不同波次新冠疫情高风险地区的时空特征比较分析
Zihan Kan,Mei-Po Kwan,Jianwei Huang et al.
Zihan Kan et al.
This study compares the space-time patterns and characteristics of high-risk areas of COVID-19 transmission in Hong Kong between January 23 and April 14 (the first and second waves) and between July 6 and August 29 (the third wave). Using s...
Evaluating the effectiveness and efficiency of risk communication for maps depicting the hazard of COVID-19 [0.03%]
评估用于描绘COVID-19风险的地图的风险沟通的有效性和效率
Hao Fang,Shiwei Xin,Huishan Pang et al.
Hao Fang et al.
COVID-19 maps convey hazard and risk information to the public, which play an important role in the risk communication for individual protection. The aim of this study is to improve the effectiveness and efficiency of communicating the spec...
Understanding and predicting the spatio-temporal spread of COVID-19 via integrating diffusive graph embedding and compartmental models [0.03%]
结合扩散图嵌入和隔室模型理解和预测COVID-19的时空传播规律
Tong Zhang,Jing Li
Tong Zhang
In order to find useful intervention strategies for the novel coronavirus (COVID-19), it is vital to understand how the disease spreads. In this study, we address the modeling of COVID-19 spread across space and time, which facilitates unde...
A review of GIS methodologies to analyze the dynamics of COVID-19 in the second half of 2020 [0.03%]
用于分析2020年下半年COVID-19动态的地理信息系统方法综述
Ivan Franch-Pardo,Michael R Desjardins,Isabel Barea-Navarro et al.
Ivan Franch-Pardo et al.
COVID-19 has infected over 163 million people and has resulted in over 3.9 million deaths. Regarding the tools and strategies to research the ongoing pandemic, spatial analysis has been increasingly utilized to study the impacts of COVID-19...
Network Optimization Approach to Delineating Health Care Service Areas: Spatially Constrained Louvain and Leiden Algorithms [0.03%]
基于社交限制的卢万和莱顿算法划分医疗服务区的网络优化方法研究
Changzhen Wang,Fahui Wang,Tracy Onega
Changzhen Wang
Constructing service areas is an important task for evaluating geographic variation of health care markets. This study uses cancer care as an example to illustrate the methodology, with the nine-state Northeast Region of the U.S. as the stu...
GIS as a heuristic tool to interpret ancient historiography: A case study to reconstruct what could plausibly have happened according to the accounts in New Testament texts [0.03%]
作为解释古史学的启发式工具的地理信息系统——一项基于《新约》文献重建可能的历史的研究
Vincent van Altena,Jan Krans,Henk Bakker et al.
Vincent van Altena et al.
This article examines how GIS can be used as a heuristic tool to reconstruct spatial-temporal events from narratives in order to examine whether a scenario is conceivable within the narrative world. The narrative about Paul's escape from Be...
Mask R-CNN-based building extraction from VHR satellite data in operational humanitarian action: An example related to Covid-19 response in Khartoum, Sudan [0.03%]
基于口罩R-CNN的高分辨率卫星数据提取建筑物以进行人道主义行动——以苏丹喀土穆应对COVID-19为例
Dirk Tiede,Gina Schwendemann,Ahmad Alobaidi et al.
Dirk Tiede et al.
Within the constraints of operational work supporting humanitarian organizations in their response to the Covid-19 pandemic, we conducted building extraction for Khartoum, Sudan. We extracted approximately 1.2 million dwellings and building...
Johannes F Kruiger,Vedran Kasalica,Rogier Meerlo et al.
Johannes F Kruiger et al.
Loose programming enables analysts to program with concepts instead of procedural code. Data transformations are left underspecified, leaving out procedural details and exploiting knowledge about the applicability of functions to data types...