{"title":"对本地路线数据分析的饱和性模型进行回归分析","authors":"Oliver Fritz, Michael Auer, A. Zipf","doi":"10.14627/537707025","DOIUrl":null,"url":null,"abstract":"The quality of geodata on OpenStreetMap (OSM) is characterized by heterogeneity. Results of conventional approaches of quality assessment based on the comparison with reference data can thus not be applied to the entire dataset. Hence, the completeness of OSM data is usually analysed using intrinsic methods. Here, we propose a novel approach that consists in the generation of reference data via a regression model. Using demographic and socio-economic raster datasets and sporadically available GTFS data, the number of local bus routes is predicted on the cells of a global hexagon grid. The results are compared with the OSM dataset.","PeriodicalId":36308,"journal":{"name":"AGIT- Journal fur Angewandte Geoinformatik","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Entwicklung eines Regressionsmodells für die Vollständigkeitsanalyse des globalen OpenStreetMap- Datenbestands an Nahverkehrs-Busstrecken / Development of a Regression Model for the Analysis of Local Bus Route Data Completeness on OpenStreetMap\",\"authors\":\"Oliver Fritz, Michael Auer, A. Zipf\",\"doi\":\"10.14627/537707025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The quality of geodata on OpenStreetMap (OSM) is characterized by heterogeneity. Results of conventional approaches of quality assessment based on the comparison with reference data can thus not be applied to the entire dataset. Hence, the completeness of OSM data is usually analysed using intrinsic methods. Here, we propose a novel approach that consists in the generation of reference data via a regression model. Using demographic and socio-economic raster datasets and sporadically available GTFS data, the number of local bus routes is predicted on the cells of a global hexagon grid. The results are compared with the OSM dataset.\",\"PeriodicalId\":36308,\"journal\":{\"name\":\"AGIT- Journal fur Angewandte Geoinformatik\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AGIT- Journal fur Angewandte Geoinformatik\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14627/537707025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AGIT- Journal fur Angewandte Geoinformatik","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14627/537707025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Entwicklung eines Regressionsmodells für die Vollständigkeitsanalyse des globalen OpenStreetMap- Datenbestands an Nahverkehrs-Busstrecken / Development of a Regression Model for the Analysis of Local Bus Route Data Completeness on OpenStreetMap
The quality of geodata on OpenStreetMap (OSM) is characterized by heterogeneity. Results of conventional approaches of quality assessment based on the comparison with reference data can thus not be applied to the entire dataset. Hence, the completeness of OSM data is usually analysed using intrinsic methods. Here, we propose a novel approach that consists in the generation of reference data via a regression model. Using demographic and socio-economic raster datasets and sporadically available GTFS data, the number of local bus routes is predicted on the cells of a global hexagon grid. The results are compared with the OSM dataset.