SI2-SSE:GeoVisuals Software: Capturing, Managing, and Utilizing GeoSpatial Multimedia Data for Collaborative Field Research

SI2-SSE：GeoVisuals 软件：捕获、管理和利用地理空间多媒体数据进行协作现场研究

• 批准号: 1739491
• 负责人: Ye Zhao
• 金额: $ 50万
• 依托单位: Kent State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1739491&HistoricalAwards=false
• 关键词: SI2; SSE; GeoVisuals; Software; Capturing

Videos, photos, and narratives (audio, text, graphics) enriched with geospatial coordinates can be used to capture spatial data and associated contextual information for a variety of challenging environments. These data can fill gaps where no data exists, capture ephemeral or constantly changing information, and provide contextual insights that elevate local knowledge beyond more traditional methods. Example applications might include how a slum in Haiti changes after a vaccination intervention following a cholera outbreak, or identifying patterns of homeless camps (and their temporal stability) in Los Angeles. The GeoVisuals software system and a Web-based GeoVisuals Data Repository bridge the gap between the diversity of researcher needs and data infrastructure challenges often encountered "in the field". The computing infrastructures help domain researchers and decision-makers capture, manage, query and visualize such big, dynamic data to conduct exploratory and analytical tasks. The utilization of the tools spans across disciplines as diverse as anthropology, clinical health, criminology, disaster management, epidemiology, geography, planning, and sociology. GeoVisuals is being developed with collaboration from many domain researchers in academia, various branches of government, and non-profit sectors, and funded by the NSF Office of Advanced Cyberinfrastructure and the Directorate of Social, Behavioral and Economic Sciences (SBE). It is shared to users as public-licensed software with free access.The GeoVisuals software consists of a mobile data collection module, a data transmission module, a data storage and computing module, and a visual analytics module. The software helps users to: (1) Capture and transfer geospatial multimedia data in a variety of different field settings ranging from developed countries with advanced IT infrastructures, to countries that still lack a reliable access to the Internet; (2) Manage and explore the collected data, when the data scale and dimensions impose technical challenges for non-IT professionals. It allows for the easy merging and query of GPS, video, audio, narratives, and so on - with flexibility for multiple input types; (3) Apply qualitative, quantitative, and spatial data analysis with mining algorithms, visual representations, and interactions. This robust and easy-to-use software enables the users to conduct information foraging and sense making on geospatial multimedia data. The GeoVisuals Data Repository allows field researchers to share their own data and access the analytical and visualization functions through a web-based platform, being inspired by the open access GenBank for biomedical researchers. The software and the data repository advance the research activities and grant applications of worldwide researchers and educators related to field studies.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

丰富了地理空间坐标的视频、照片和叙述（音频、文本、图形）可用于捕获各种具有挑战性的环境的空间数据和相关上下文信息。这些数据可以填补没有数据的空白，捕捉短暂或不断变化的信息，并提供背景见解，使当地知识超越更传统的方法。示例应用程序可能包括海地的贫民窟在霍乱爆发后进行疫苗接种干预后如何变化，或确定洛杉矶无家可归者营地的模式（及其时间稳定性）。GeoVisuals软件系统和基于网络的GeoVisuals数据储存库弥合了研究人员需求多样性与“实地”经常遇到的数据基础设施挑战之间的差距。计算基础设施帮助领域研究人员和决策者捕获，管理，查询和可视化这些大型动态数据，以进行探索和分析任务。这些工具的使用跨越了人类学、临床健康、犯罪学、灾害管理、流行病学、地理学、规划和社会学等不同学科。GeoVisuals正在与学术界，政府各部门和非营利部门的许多领域研究人员合作开发，并由NSF高级网络基础设施办公室和社会，行为和经济科学理事会（SBE）资助。它作为公共许可软件共享给用户，可免费访问。GeoVisual软件由移动的数据收集模块、数据传输模块、数据存储和计算模块以及可视化分析模块组成。该软件可以帮助用户：（1）在从拥有先进信息技术基础设施的发达国家到仍然缺乏可靠的互联网接入的国家等各种不同的实地环境中获取和传输地理空间多媒体数据;（2）在数据规模和层面对非信息技术专业人员构成技术挑战时，管理和探索收集的数据。它允许轻松合并和查询GPS、视频、音频、叙述等-具有多种输入类型的灵活性;（3）通过挖掘算法、视觉表示和交互应用定性、定量和空间数据分析。这个强大的和易于使用的软件，使用户能够进行信息觅食和意义上的地理空间多媒体数据。GeoVisuals数据存储库允许现场研究人员共享自己的数据，并通过基于网络的平台访问分析和可视化功能，其灵感来自生物医学研究人员的开放访问基因库。该软件和数据库促进了全球研究人员和教育工作者与实地研究相关的研究活动和资助申请。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Delineating and modeling activity space using geotagged social media data

• DOI: 10.1080/15230406.2019.1705187
• 发表时间: 2020-02-09
• 期刊: CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE
• 影响因子: 2.5
• 作者: Hu, Lingqian;Li, Zhenlong;Ye, Xinyue
• 通讯作者: Ye, Xinyue

Micro-Space Complexity and Context in the Space-Time Variation in Enteric Disease Risk for Three Informal Settlements of Port au Prince, Haiti

• DOI: 10.3390/ijerph16050807
• 发表时间: 2019-03-01
• 期刊: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
• 作者: Curtis, Andrew;Squires, Robert;Morris, John Glenn, Jr.
• 通讯作者: Morris, John Glenn, Jr.

Interactive Visualization of AI-based Speech Recognition Texts

• DOI: 10.2312/eurova.20201091
• 发表时间: 2020
• 作者: Tsung Heng Wu;Ye Zhao;Md Amiruzzaman

CLEVis: A Semantic Driven Visual Analytics System for Community Level Events

• DOI: 10.1109/mcg.2020.2973939
• 发表时间: 2021-03-01
• 期刊: IEEE COMPUTER GRAPHICS AND APPLICATIONS
• 影响因子: 1.8
• 作者: Ma, Chao;Zhao, Ye;Ali, Ismael
• 通讯作者: Ali, Ismael

GTMapLens: Interactive Lens for Geo‐Text Data Browsing on Map

• DOI: 10.1111/cgf.13995
• 发表时间: 2020-06
• 期刊: Computer Graphics Forum
• 影响因子: 2.5
• 作者: Chao Ma;Ye Zhao;Shamal Al-Dohuki;Jing Yang;X. Ye;Farah Kamw;Md Amiruzzaman