Quality Assessment of Online Street and Rooftop Geocoding Services

Quality Assessment of Online Street and Rooftop Geocoding Services
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在线街道和屋顶地理编码服务的质量评估

DOI:
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发表时间:
2010
期刊:
影响因子:
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通讯作者:
H. Karimi
H. Karimi
中科院分区:
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文献类型:
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作者:
Duangduen Roongpiboonsopit;H. Karimi

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基于因特网的制图和地理空间分析的广泛使用导致对在线地理编码服务的需求增加。虽然这些服务提供方便,低(或免费)成本和即时的解决方案,他们的特点,有时,掩盖了生产质量的地理编码结果的期望。近年来,出现了一些地理编码技术,包括屋顶地理编码,但它们尚未在文献中得到广泛关注。本文研究和比较的质量,在线屋顶和街道地理编码服务的匹配率和定位精度的基础上。由五家提供商提供的六项地理编码服务(即,微软虚拟地球、谷歌、Geocoder.us、MapQuest和雅虎!)在宾夕法尼亚州阿勒格尼县的地址进行了评估。比较结果表明,屋顶地理编码产生的匹配率略低,但显着更高的位置精度比街道地理编码。混合服务,它结合了这两种技术,产生匹配率高达其他街道地理编码服务,但提高了位置精度接近屋顶地理编码的水平。地理编码服务采用具有相似质量趋势的参考数据库,以产生兼容的匹配率和位置精度。本文研究了不同地址类型对地理编码质量的敏感性。结果表明,屋顶和街道地理编码产生高匹配率和高精度的住宅地址。然而,由于样本量小,农业和工业地址类型的位置精度不是很可靠。有了这些,建议使用在线屋顶地理编码服务,如果高位置精度是优先级,使用街道地理编码,如果高匹配率是优先级,并使用混合方法,如果高匹配率和高位置精度都需要。
The widespread use of Internet-based mapping and geospatial analysis has caused an increase in the demand for online geocoding services. Although such services provide convenience, low (or free) cost and immediate solutions, their characteristics, sometimes, overshadow the expectation of producing quality of geocoded results. In recent years, several geocoding techniques have emerged, including rooftop geocoding, but they have yet to receive much attention in the literature. This paper examines and compares the quality of online rooftop and street geocoding services based on match rates and positional accuracy. Six geocoding services by five providers (i.e., Microsoft Virtual Earth, Google, Geocoder.us, MapQuest, and Yahoo!) were evaluated using addresses in Allegheny County, Pennsylvania. Results of the comparison indicate that rooftop geocoding produces slightly lower match rates but significantly higher positional accuracy than street geocoding. The hybrid service, which combines the two techniques, produces match rates as high as other street geocoding services but improves in positional accuracy close to the level of rooftop geocoding. Geocoding services employing reference databases with similar quality trend to produce compatible match rates and positional accuracy. This paper examines the sensitivity of different address types on geocoding quality. The results reveal that both rooftop and street geocoding produce high match rates and high accuracy for residential addresses. However, positional accuracies of agricultural and industrial address types are not very reliable due to the small sample sizes. With these, it is recommended to use online rooftop geocoding services if high positional accuracy is the priority, use street geocoding if high match rate is the priority, and use the hybrid approach if both high match rates and high positional accuracy are required.