Digital High-Scale Food Security Analysis: Challenges, Considerations and Opportunities

Digital High-Scale Food Security Analysis: Challenges, Considerations and Opportunities
复制标题

数字化大规模粮食安全分析:挑战、考虑因素和机遇

DOI:
10.1007/978-3-030-76374-9_9
复制
发表时间:
2021
期刊:
Communications in computer and information science
影响因子:
--
通讯作者:
Wooten, T.
Wooten, T.
中科院分区:
--
文献类型:
--
作者:
Mulrooney, T.;Wooten, T.

文献摘要

参考文献

被引文献

相似文献

地理空间工具,如GIS(地理信息系统)作为一种流行的技术来评估和评价食品环境的空间维度。虽然可以利用地理信息系统分析和地理信息系统数据来辅助地方一级的政策决定,但在全面了解作出这些决定所依据的数据方面投入的工作很少。在本文中,我们讨论了应用于地方尺度食品环境研究的地理空间数据开发领域中存在的高质量地理空间数据、挑战和机遇。我们进一步探讨了地理空间数据质量评估和质量控制(QA/QC)的因素,这些因素通常用于食品环境的大规模地理空间数据分析的商业可用业务(CAB)数据库。与所有食物来源(如杂货店和农贸市场)的物理位置以及个性化车辆运输(道路)相关的因素排名最高。它们超过了与土地覆盖、公用事业和分区有关的因素,后者在中、小规模(国家一级)分析中更为重要。在对数据质量的各个维度进行排序时,主题专家发现位置准确性和属性准确性是数据开发中最重要的。然而,与时间准确性(数据年龄)相关的错误在CAB数据库中显示出最多的错误。这种分裂是该项目的推动力,并进一步解决了概念和实际地理空间数据开发政策和程序之间的挑战。
Geospatial tools such as GIS (Geographic Information Systems) serve as a popular technology to assess and evaluate spatial dimensions of the food environment. While local-level policy decisions can be aided using GIS analysis and GIS data, little work has been invested in the holistic understanding of the data on which these decisions are made. In this paper, we address what entails high-quality geospatial data, challenges and opportunities that exist in the field of geospatial data development as applied to local-scale food environment research. We further explored factors of geospatial data quality assessment and quality control (QA/QC) for a commercially available business (CAB) database typically used in high-scale geospatial data analysis of the food environment. Factors related to the physical location of all food sources such as grocery stores and farmers markets and individualized vehicular transportation (roads) rated highest. They outweighed those related to land cover, utilities and zoning, which are more important in medium and low-scale (national level) analysis. When ranking various dimensions of data quality, subject matter experts found positional accuracy and attribute accuracy to be the most important in data development. However, errors related to temporal accuracy (age of data) exhibited the greatest number of errors within a CAB database. This schism serves as the impetus of this project and further addresses challenges between conceptual and practical geospatial data development policies and procedures.
DOI: 10.1186/1479-5868-9-37
发表时间: 2012-04-02
期刊: The international journal of behavioral nutrition and physical activity
影响因子: --
作者:
Lake AA;Burgoine T;Stamp E;Grieve R
通讯作者: Grieve R
DOI: 10.1016/j.apgeog.2010.09.006
发表时间: 2011-10-01
期刊: APPLIED GEOGRAPHY
影响因子: 4.9
作者:
Hallett, Lucius F.;McDermott, Dave
通讯作者: McDermott, Dave
基于 GIS 的方法论完善农村粮食荒漠的概念:以佛蒙特州拉特兰县为例
DOI: --
发表时间: 2013
期刊:
影响因子: --
作者:
J. Hoesen;Brandy Bunkley;C. Currier
通讯作者: C. Currier
DOI: 10.1526/0036011053294628
发表时间: 2005-03-01
期刊: RURAL SOCIOLOGY
影响因子: 2.3
作者:
Morton, LW;Bitto, EA;Sand, M
通讯作者: Sand, M
尼日利亚气候变化、环境变化与粮食安全的关系
DOI: 10.1080/09709274.2009.11906172
发表时间: 2009
影响因子: --
作者:
E. Obioha
通讯作者: E. Obioha