首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Confronting the data-divide in a time of spatial turns and volunteered geographic information
Authors:Jonathan Cinnamon  Nadine Schuurman
Institution:1. Simon Fraser University, Burnaby, BC, Canada
Abstract:Geography is enjoying a period of unparalleled visibility, driven by the growing use of geographic methods and concepts across the sciences and humanities—the so-called spatial turn—and the pervasive use of geospatial Web technologies and their concomitant influence on society, especially the phenomenon of volunteered geographic information (VGI). The field of public health is beginning to harness spatiality with gusto; however, the geospatial Web and its social phenomena are underexplored in this context even though they may be particularly useful for public health enquiry, especially in low-resource settings that lack traditional data collection mechanisms. A case study framed within these two current phenomena is presented to illustrate the influence of geography and its potential for addressing the data-divide—the disparity in availability of data for scientific enquiry and decision-making most felt in low-and middle income countries. A facilitated VGI data collection initiative collected public health-related injury data in Cape Town, South Africa, as a pragmatic alternative given the lack of data from traditional sources. Emergency medical services personnel interacted with a GeoWeb interface to volunteer their informed opinions of high-incident injury locations. Previously unrecorded injury location data were created, and combined with traditional injury data for use in an ongoing study examining the environmental determinants of injury in this setting, which speaks to the possibility for hybrid authoritative/asserted data collection strategies. This study speaks to the growing influence of geography and one of its driving forces, the techno-social revolution in geospatial technology and data. Future work should continue to examine their potential to address the data-divide.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号