Ali Mohammad, Rasool Shahid, Park Jin-Kyung, Saeed Shamoon, Ochiai Rion Leon, Nizami Qamaruddin, Acosta Camilo J, Bhutta Zulfiqar
International Vaccine Institute, SNU Research Park, San 4–8 Bongcheon-7 dong, Kwanak-gu, Seoul, Korea.
Int J Health Geogr. 2004 Sep 28;3(1):20. doi: 10.1186/1476-072X-3-20.
Household-level geographic information systems (GIS) database are usually constructed using the geographic positioning system (GPS). In some research settings, GPS receivers may fail to capture accurate readings due to structural barriers such as tall buildings. We faced this problem when constructing a household GIS database for research sites in Karachi, Pakistan because the sites are comprised of congested groups of multi-storied building and narrow lanes. In order to overcome this problem, we used high resolution satellite imagery (IKONOS) to extract relevant geographic information. RESULTS: The use of IKONOS satellite imagery allowed us to construct an accurate household GIS database, which included the size and orientation of the houses. The GIS database was then merged with health data, and spatial analysis of health was possible. CONCLUSIONS: The methodological issues introduced in this paper provide solutions to the technical barriers in constructing household GIS database in a heavily populated urban setting.
家庭层面的地理信息系统(GIS)数据库通常使用全球定位系统(GPS)构建。在一些研究环境中,由于高楼大厦等结构障碍,GPS接收器可能无法获取准确读数。我们在为巴基斯坦卡拉奇的研究地点构建家庭GIS数据库时遇到了这个问题,因为这些地点由拥挤的多层建筑和狭窄小巷组成。为了克服这个问题,我们使用高分辨率卫星图像(IKONOS)来提取相关地理信息。结果:使用IKONOS卫星图像使我们能够构建一个准确的家庭GIS数据库,其中包括房屋的大小和朝向。然后将该GIS数据库与健康数据合并,从而可以进行健康状况的空间分析。结论:本文介绍的方法问题为在人口密集的城市环境中构建家庭GIS数据库时遇到的技术障碍提供了解决方案。