多层次多粒度OSM路网目标数据质量综合评估方法研究
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摘要
针对以往Open Street Map(OSM)数据质量评价中只考虑片面评价指标或只考虑单一层次评估对象的不足,本文选取典型研究区,以来自政府规划机构的权威数据集作为参照数据,基于模糊综合评价法,设计了质量评价指标与空间层次相结合的多层次多粒度OSM路网目标数据质量评估模型,从单一目标、群组目标和整体目标3个粒度,集成构建集个体数量控制与群体结构控制于一体的数据质量评估指标体系,并解决评估模型中隶属度确定与最优组合权重赋权的关键技术问题,实现了宏观与微观相结合、全局与局部相结合的OSM数据质量的多维度多层次综合度量。实验结果表明,该方法具有可行性和实用性,可为基于VGI数据源实现相关行业应用提供实证依据和可靠的数据质量评估方法。
Open Street Map(hereinafter short for OSM) data quality evaluation only considered the one-sided evaluation index or single level assessment of the object. This paper takes the authoritative data of government planning agency as the reference data and designs a data quality assessment model of OSM road network at a multi-level and multi-granularity scale. This model is based on the method of fuzzy integrated evaluation and is the combination of quality evaluation index and spatial level. From three aspects: single target, group goals and overall goals, this paper builts the evaluation indexes system of data quality and sets the control of number of individual and group structure in one, then sovles the crucial technical problems, such as the determining of membership function and the optimal combination weight. This paper also achieves the combinations of macro and micro, global and local. The results show that OSM data qualities of the single level and the overall level are superior. The group level is the general. The qualities of the single target and most indexes of group goal are superior so that it's consistent and logical that the overall level is superior. This shows the method is feasible and practical. Some industries which are based on VGI data source can use this empirical basis and reliable data quality evaluation method for reference.
Open Street Map(hereinafter short for OSM) data quality evaluation only considered the one-sided evaluation index or single level assessment of the object. This paper takes the authoritative data of government planning agency as the reference data and designs a data quality assessment model of OSM road network at a multi-level and multi-granularity scale. This model is based on the method of fuzzy integrated evaluation and is the combination of quality evaluation index and spatial level. From three aspects: single target, group goals and overall goals, this paper builts the evaluation indexes system of data quality and sets the control of number of individual and group structure in one, then sovles the crucial technical problems, such as the determining of membership function and the optimal combination weight. This paper also achieves the combinations of macro and micro, global and local. The results show that OSM data qualities of the single level and the overall level are superior. The group level is the general. The qualities of the single target and most indexes of group goal are superior so that it's consistent and logical that the overall level is superior. This shows the method is feasible and practical. Some industries which are based on VGI data source can use this empirical basis and reliable data quality evaluation method for reference.
引文
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[14]王明,李清泉,胡庆武等.面向众源开放街道地图空间数据的质量评价方法[J].武汉大学学报·信息科学版,2013,38(12):1490-1494.[Wang M,Li Q Q,Hu Q W.Quality analysis on crowd sourcing geographic data with open street map data[J].Geomatics and Information Science of Wuhan University,2013,38(12):1490-1494.]
[15]Zheng S,Zheng J.Assessing the completeness and positional accuracy of Open Street Map in China[M].//Thematic Cartography for the Society.Berlin:Springer International Publishing,2014.
[16]范博文.众源地理数据质量研究[D].云南:云南大学,2015.[Fan B W.The study on data quality of the openstreet Map dataset[D].Yunnan:Yunnan University,2015.]
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[19]韩利,梅强,陆玉梅,等.AHP-模糊综合评价方法的分析与研究[J].中国安全科学学报,2004,14(7):89-92,3.[Han L,Mei Q,Lu Y M,et al.Analysis and study on ahp-Fuzzy comprehensive evaluation[J].China Safety Science Journal,2004,14(7):89-92,93.]
[20]胡圣武,李长春,王新洲,等.基于多层次模糊综合评判的GIS质量综合评价[J].长江科学院院报,2005,22(3):21-24.[Hu S W,Li C C,Wang X Z.Synthesis evaluation on GIS quality based on multilevel fuzzy synthesis judgment[J].Journal of Yangtze River Scientific Research Institute,2005,22(3):21-24.]
[21]季佳佳,赵冬玲,杨建宇,等.基于多层次模糊综合评判法的土地变更调查数据质量评价研究[J].中国土地科学,2015,29(4):90-96.[Li J J,Zhao D L,Yang J Y.Quality assessment of land changing investigation data based on multi-level fuzzy comprehensive evaluation method[J].China Land Science,2015,29(4):90-96.]
[22]Zhang Q,Zhong M.Using multi-level fuzzy comprehensive evaluation to assess reservoir induced seismic risk[J].Journal of Computers,2011,6(8):1670-1676.
[23]Holt A.Spatial similarity and GIS:The grouping of spatial kinds[J].Dunedin:University of Otago,1999:241-250.
[24]Zhang J C,Wang Y H,Wen J Z.An improved probabilistic relaxation method for matching multi-scale road networks[J].International Journal of Digital Earth.DOI:10.1080/17538947.2017.1341557.
[25]李媛媛,王俊超,徐立,等.几何地理要素的相似性度量方法研究[J].测绘与空间地理信息,2014(3):31-34.[Li Y Y,Wang J C,Xu L,et al.Geometric similarity measure of geographical elements method research[J].Geomatics&Spatial Information Technology,2014,3:31-34.]
[26]刘晓平,吴磊.简单多边形方向及顶点凹凸性的快速判定[J].工程学图图报,2005,26(4):124-129.[Liu X P,Wu L.A rapid identification for the orientation and vertices convexity-Concavity of simple polygon[J].Journal of Graphics,2005,26(4):124-129.]
[27]李红梅,翟亮,朱熀.基于本体的地理空间实体类型语义相似度计算模型的研究[J].测绘科学,2009,34(2):12-14.[Li H M,Zhai L,Zhu.Semantic similarities calculative modeling for geospatial entity classes based on ontology[J].Science of Surveying and Mapping,2009,34(2):12-14.]
[28]陈伟,夏建华.综合主、客观权重信息的最优组合赋权方法[J].数学的实践与认识,2007,37(1):17-22.[Chen L,Xia J H.An optimal weights combination method considering both subjective and objective weight information[J].Mathematics in Practice and Theory,2007,37(1):17-22.]
[2]Flanagin A J,Metzger M J.The credibility of volunteered geographic information[J].Geo Journal,2008,72(3-4):137-148.
[3]陈舒燕.基于Open Street Map的出行可达性分析与实现[D].上海:上海师范大学,2010.[Chen S Y.A Web-based accessibility analysis service using Open Street Map data[D].Shanghai:Shanghai Normal University,2010.]
[4]Diaz L,Granell C,Could M,et al.Managing user-generated information in geospatial cyberinfrastructures[J].Future Generation Computer Systems,2011,27(3):304-314.
[5]田文文,朱欣焰,呙维.一种VGI矢量数据增量变化发现的多层次蔓延匹配算法[J].武汉大学学报·信息科学版,2014,39(8):963-968.[Tian W W,Zhu X Y,Guo W.A VGI vector road data increment distinguishing research based on multilevel spreading algorithm[J].Geomatics and Information Science of Wuhan University,2014,39(8):963-968.]
[6]Zhou X,Zeng L,Jiang Y,et al.Dynamically Integrating OSM Data into a Borderland Database[J].ISPRS International Journal of Geo-Information,2015,4:1707-1728.
[7]赵肄江,周晓光.地理信息志愿者信誉度评估的版本相似度模型-以面目标为例[J].测绘学报,2015,44(5):578-584.[Zhao Y J,Zhou X G.Version simi larity-based model for volunteersreputation of volunteered geographic information:A case study of polygon[J].Acta Geodaetica et Cartographica Sinica,2015,44(5):578-584.]
[8]马超,孙群,徐青,等.自发地理信息可信度及其评价[J].地球信息科学学报,2016,18(10):1305-1311.[Ma C,Sun Q,Xu Q,et al.The credibility and evaluation of volunteered geographic information[J].Journal of Geo-information Science,2016,18(10):1305-1311.]
[9]Haklay M.How good is Open Street Map information?A comparative study of Open Street Map and Ordnance Survey datasets for London and the rest of England[J].Under review in Environment&Planning B,2008,37(4):682-703.
[10]Ather A.A quality analysis of openstreetmap data[D].London:University College London,2009.
[11]Zielstra D,Zipf A.A comparative study of proprietary geodata and volunteered geographic information for germany[A].In Proceedings of the 13thAGILE International Conference on Geographic Information Science[C].Guimaraes:Agile International Conference on Geographic Information Science,2010.
[12]Girres J,Touya G.Quality assessment of the French Open Street Map dataset[J].Transactions in GIS,2010,14(4):435-459.
[13]Siebritz.Assessing the accuracy of open street map data in south africa for the purpose of integrating it with authoritative data[D].Cape Town:Department of Architecture,Planning and Geomatics University of Cape Town,2014.
[14]王明,李清泉,胡庆武等.面向众源开放街道地图空间数据的质量评价方法[J].武汉大学学报·信息科学版,2013,38(12):1490-1494.[Wang M,Li Q Q,Hu Q W.Quality analysis on crowd sourcing geographic data with open street map data[J].Geomatics and Information Science of Wuhan University,2013,38(12):1490-1494.]
[15]Zheng S,Zheng J.Assessing the completeness and positional accuracy of Open Street Map in China[M].//Thematic Cartography for the Society.Berlin:Springer International Publishing,2014.
[16]范博文.众源地理数据质量研究[D].云南:云南大学,2015.[Fan B W.The study on data quality of the openstreet Map dataset[D].Yunnan:Yunnan University,2015.]
[17]马超,孙群,徐青.一种基于参考数据的志愿者地理信息质量评价方法[J].测绘与空间地理信息,2017(3):1-5.[Ma C,Sun Q,Xu Q.An approach for volunteered geographic information quality evaluation based on reference data[J].Geomatics&Spatial Information Technology,2017,3:1-5.]
[18]Forghani M,Delavar M R.A quality study of the OpenStreet Map dataset for tehran[J].ISPRS International Journal of Geo-Information,2014,3(2):750-763.
[19]韩利,梅强,陆玉梅,等.AHP-模糊综合评价方法的分析与研究[J].中国安全科学学报,2004,14(7):89-92,3.[Han L,Mei Q,Lu Y M,et al.Analysis and study on ahp-Fuzzy comprehensive evaluation[J].China Safety Science Journal,2004,14(7):89-92,93.]
[20]胡圣武,李长春,王新洲,等.基于多层次模糊综合评判的GIS质量综合评价[J].长江科学院院报,2005,22(3):21-24.[Hu S W,Li C C,Wang X Z.Synthesis evaluation on GIS quality based on multilevel fuzzy synthesis judgment[J].Journal of Yangtze River Scientific Research Institute,2005,22(3):21-24.]
[21]季佳佳,赵冬玲,杨建宇,等.基于多层次模糊综合评判法的土地变更调查数据质量评价研究[J].中国土地科学,2015,29(4):90-96.[Li J J,Zhao D L,Yang J Y.Quality assessment of land changing investigation data based on multi-level fuzzy comprehensive evaluation method[J].China Land Science,2015,29(4):90-96.]
[22]Zhang Q,Zhong M.Using multi-level fuzzy comprehensive evaluation to assess reservoir induced seismic risk[J].Journal of Computers,2011,6(8):1670-1676.
[23]Holt A.Spatial similarity and GIS:The grouping of spatial kinds[J].Dunedin:University of Otago,1999:241-250.
[24]Zhang J C,Wang Y H,Wen J Z.An improved probabilistic relaxation method for matching multi-scale road networks[J].International Journal of Digital Earth.DOI:10.1080/17538947.2017.1341557.
[25]李媛媛,王俊超,徐立,等.几何地理要素的相似性度量方法研究[J].测绘与空间地理信息,2014(3):31-34.[Li Y Y,Wang J C,Xu L,et al.Geometric similarity measure of geographical elements method research[J].Geomatics&Spatial Information Technology,2014,3:31-34.]
[26]刘晓平,吴磊.简单多边形方向及顶点凹凸性的快速判定[J].工程学图图报,2005,26(4):124-129.[Liu X P,Wu L.A rapid identification for the orientation and vertices convexity-Concavity of simple polygon[J].Journal of Graphics,2005,26(4):124-129.]
[27]李红梅,翟亮,朱熀.基于本体的地理空间实体类型语义相似度计算模型的研究[J].测绘科学,2009,34(2):12-14.[Li H M,Zhai L,Zhu.Semantic similarities calculative modeling for geospatial entity classes based on ontology[J].Science of Surveying and Mapping,2009,34(2):12-14.]
[28]陈伟,夏建华.综合主、客观权重信息的最优组合赋权方法[J].数学的实践与认识,2007,37(1):17-22.[Chen L,Xia J H.An optimal weights combination method considering both subjective and objective weight information[J].Mathematics in Practice and Theory,2007,37(1):17-22.]