Collaborative Research: Leveraging domain repositories in Flyover Country, a mobile app for geoscience outreach, data discovery, and visualization
协作研究:利用 Flyover Country 中的域存储库,这是一款用于地球科学推广、数据发现和可视化的移动应用程序
基本信息
- 批准号:1550843
- 负责人:
- 金额:$ 13.9万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-01-15 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project will continue to develop a mobile app, Flyover Country (FC), that will bring information about relevant points of interest (POI) and map data to the user while flying, and also driving or hiking, without the need for in-flight Wi-Fi, by downloading a strip of data based on the flightpath before the user boards the plane. GPS (Global Positioning System), which functions in airplane mode, allows precise flight tracking, making prompts for POI viewing timely and relevant. With around 4.5 million people flying every day, the potential audience for FC is huge, as is its potential for geoscience outreach. The app will directly feed high-quality geoscience information to the user at the very point when curiosity is stimulated, and could thus improve public science literacy as well as inspiring and supporting the development of a generation of geoscientists. FC could also readily be adapted for use in STEM education, and will be structured so as to provide a platform for the exposure of all types of geospatial geoscience data, forming new infrastructure for education and research. Flyover Country (FC) is an open-source Android and iOS mobile application for geoscience outreach and education. Its key features are (1) delimitation of an area of interest to a traveler (e.g., a flight path, driving route, or hiking trail); (2) selection of georeferenced data within the delimited area via API calls to data repositories; (3) caching of these datasets on the user?s smartphone local storage; (4) exposure and promotion of points of interest (POI) by a location-aware service as the user approaches the POI. Work proposed here extends FC?s functionality to the geoscience research community as a data discovery tool that can be readily used in the field to instantly and dynamically provide context to new measurements. Novel visualization strategies for stratigraphic and multivariate data, as well as authorship and provenance networks, will further enhance researcher efficiency.
该项目将继续开发一款名为Flyover Country(FC)的移动的应用程序,该应用程序将在飞行、驾驶或徒步旅行时为用户提供有关相关兴趣点(POI)和地图数据的信息,而不需要飞行中的Wi-Fi,只需在用户登机前下载一条基于飞行路径的数据即可。GPS(全球定位系统),在飞机模式下工作,允许精确的飞行跟踪,使POI查看提示及时和相关。由于每天约有450万人乘坐飞机,FC的潜在受众是巨大的,其地球科学推广的潜力也是巨大的。该应用程序将在激发好奇心的时候直接向用户提供高质量的地球科学信息,从而提高公众的科学素养,并激励和支持一代地球科学家的发展。FC也可以随时调整用于STEM教育,并将结构化,以便为所有类型的地理空间地球科学数据提供一个平台,形成新的教育和研究基础设施。Flyover Country(FC)是一款用于地球科学外展和教育的开源Android和iOS移动的应用程序。其主要特征是(1)对旅行者感兴趣的区域进行划界(例如,飞行路线、驾驶路线或徒步旅行路线);(2)通过对数据存储库的API调用在划定区域内选择地理参考数据;(3)在用户上缓存这些数据集?的智能手机本地存储;(4)当用户接近兴趣点(POI)时,通过位置感知服务来曝光和推广POI。这里提出的工作扩展FC?的功能,地球科学研究界作为一个数据发现工具,可以随时在现场使用,即时和动态地提供新的测量背景。新的可视化策略,地层和多变量数据,以及作者和出处网络,将进一步提高研究效率。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Andrew Zaffos其他文献
A tectonically driven 60 million-year biogeochemical redox cycle paces marine biodiversity
一个构造驱动的 6000 万年生物地球化学氧化还原循环影响着海洋生物多样性
- DOI:
10.1038/s43247-025-02370-6 - 发表时间:
2025-06-06 - 期刊:
- 影响因子:8.900
- 作者:
Slah Boulila;Shanan E. Peters;R. Dietmar Müller;Andrew Zaffos;Juraj Farkaš;Bilal U. Haq - 通讯作者:
Bilal U. Haq
Andrew Zaffos的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
相似国自然基金
Research on Quantum Field Theory without a Lagrangian Description
- 批准号:24ZR1403900
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
Cell Research
- 批准号:31224802
- 批准年份:2012
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research
- 批准号:31024804
- 批准年份:2010
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research (细胞研究)
- 批准号:30824808
- 批准年份:2008
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
- 批准号:10774081
- 批准年份:2007
- 资助金额:45.0 万元
- 项目类别:面上项目
相似海外基金
Collaborative Research: Leveraging the interactions between carbon nanomaterials and DNA molecules for mitigating antibiotic resistance
合作研究:利用碳纳米材料和 DNA 分子之间的相互作用来减轻抗生素耐药性
- 批准号:
2307222 - 财政年份:2024
- 资助金额:
$ 13.9万 - 项目类别:
Standard Grant
Collaborative Research: Leveraging the interactions between carbon nanomaterials and DNA molecules for mitigating antibiotic resistance
合作研究:利用碳纳米材料和 DNA 分子之间的相互作用来减轻抗生素耐药性
- 批准号:
2307223 - 财政年份:2024
- 资助金额:
$ 13.9万 - 项目类别:
Standard Grant
Collaborative Research: FET: Medium:Compact and Energy-Efficient Compute-in-Memory Accelerator for Deep Learning Leveraging Ferroelectric Vertical NAND Memory
合作研究:FET:中型:紧凑且节能的内存计算加速器,用于利用铁电垂直 NAND 内存进行深度学习
- 批准号:
2312886 - 财政年份:2023
- 资助金额:
$ 13.9万 - 项目类别:
Standard Grant
Collaborative Research: FET: Medium:Compact and Energy-Efficient Compute-in-Memory Accelerator for Deep Learning Leveraging Ferroelectric Vertical NAND Memory
合作研究:FET:中型:紧凑且节能的内存计算加速器,用于利用铁电垂直 NAND 内存进行深度学习
- 批准号:
2312884 - 财政年份:2023
- 资助金额:
$ 13.9万 - 项目类别:
Standard Grant
Collaborative Research: SPARC: Conducting Collaborative Research and Leveraging Resources to Advance Spatial Archaeometry
协作研究:SPARC:开展协作研究并利用资源推进空间考古学
- 批准号:
2309809 - 财政年份:2023
- 资助金额:
$ 13.9万 - 项目类别:
Standard Grant
Collaborative Research: SaTC: CORE: Small: Understanding the Limitations of Wireless Network Security Designs Leveraging Wireless Properties: New Threats and Defenses in Practice
协作研究:SaTC:核心:小型:了解利用无线特性的无线网络安全设计的局限性:实践中的新威胁和防御
- 批准号:
2316720 - 财政年份:2023
- 资助金额:
$ 13.9万 - 项目类别:
Standard Grant
Collaborative Research: Leveraging Crowd-AI Teams for Scalable Novelty Ratings of Heterogeneous Design Representations
协作研究:利用群体人工智能团队对异构设计表示进行可扩展的新颖性评级
- 批准号:
2231254 - 财政年份:2023
- 资助金额:
$ 13.9万 - 项目类别:
Standard Grant
Collaborative Research: Leveraging Crowd-AI Teams for Scalable Novelty Ratings of Heterogeneous Design Representations
协作研究:利用群体人工智能团队对异构设计表示进行可扩展的新颖性评级
- 批准号:
2231261 - 财政年份:2023
- 资助金额:
$ 13.9万 - 项目类别:
Standard Grant
Collaborative Research: Promoting Children's Learning About Biological Variability by Leveraging Simple Card Games
合作研究:利用简单的纸牌游戏促进儿童了解生物变异性
- 批准号:
2300602 - 财政年份:2023
- 资助金额:
$ 13.9万 - 项目类别:
Continuing Grant
Collaborative Research: Towards Engaged, Personalized and Transferable Learning of Secure Programming by Leveraging Real-World Security Vulnerabilities
协作研究:利用现实世界的安全漏洞实现安全编程的参与式、个性化和可转移学习
- 批准号:
2235976 - 财政年份:2023
- 资助金额:
$ 13.9万 - 项目类别:
Standard Grant














{{item.name}}会员




