{"title":"Interactive Visualization of Electrical Power Flow Using A Schematic Map","authors":"Luc Girardin, Christoph Haefeli, Peter Schult","doi":"10.1080/00087041.2024.2335068","DOIUrl":"https://doi.org/10.1080/00087041.2024.2335068","url":null,"abstract":"","PeriodicalId":515396,"journal":{"name":"The Cartographic Journal","volume":"32 27","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Metrochrones: Schematic Isochrones for Schematic Metro Maps","authors":"Axel Forsch, J. Haunert","doi":"10.1080/00087041.2023.2284436","DOIUrl":"https://doi.org/10.1080/00087041.2023.2284436","url":null,"abstract":"","PeriodicalId":515396,"journal":{"name":"The Cartographic Journal","volume":"136 47","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141811050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Henry Beck’s Map Style in New York City","authors":"Peter B. Lloyd","doi":"10.1080/00087041.2024.2335078","DOIUrl":"https://doi.org/10.1080/00087041.2024.2335078","url":null,"abstract":"","PeriodicalId":515396,"journal":{"name":"The Cartographic Journal","volume":"95 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141812548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Beck to The Future: Some Reflections on Designing a New Tube Map","authors":"Doug Rose","doi":"10.1080/00087041.2023.2346377","DOIUrl":"https://doi.org/10.1080/00087041.2023.2346377","url":null,"abstract":"","PeriodicalId":515396,"journal":{"name":"The Cartographic Journal","volume":"15 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141684803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Large-Scale Generation of Transit Maps from OpenStreetMap Data","authors":"P. Brosi, Hannah Bast","doi":"10.1080/00087041.2024.2325761","DOIUrl":"https://doi.org/10.1080/00087041.2024.2325761","url":null,"abstract":"We investigate the automatic generation of transit map overlays (either geographically correct or schematic) for the entire planet from OpenStreetMap (OSM) data. To achieve this, we fi rst extract relevant transit line geometries (together with their line name, and, if present, colour) from OSM using SPARQL queries against an RDF version of the OSM data. The queries are run against our SPARQL engine QLever. In the second step, we build a global line network graph where every edge is labelled with the lines travelling through it. The components of this network graph are then rendered as a transit map using tools and methods developed in previous work. Final maps are delivered as vector tiles to an interactive web map, from which individual network graphs (in a GeoJSON format proposed in this work) can be downloaded for research purposes. The vector tiles are also freely available. We brie fl y describe the methods used in each pipeline step, evaluate the speed and quality of our approach and discuss possible shortcomings.","PeriodicalId":515396,"journal":{"name":"The Cartographic Journal","volume":"3 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141686436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joanna Bac-Bronowicz, K. Kozioł, Andrzej Kwinta, C. A. G. Santos, K. Maciuk
{"title":"Evaluating the Geometry of Objects in Cartographic Generalization with Hu's Invariants","authors":"Joanna Bac-Bronowicz, K. Kozioł, Andrzej Kwinta, C. A. G. Santos, K. Maciuk","doi":"10.1080/00087041.2024.2323333","DOIUrl":"https://doi.org/10.1080/00087041.2024.2323333","url":null,"abstract":"","PeriodicalId":515396,"journal":{"name":"The Cartographic Journal","volume":"51 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141687782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A digital map of Public-Use Microdata Areas in the 1990 U.S. census.","authors":"W H Walters","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>\"Public-Use Microdata Areas (PUMAs) are the smallest geographic units for which many U.S. Census variables are reported. In particular, 1990 microdata records for households and individuals can be aggregated only by PUMA, metropolitan area, state, and region. The Census Bureau distributes maps of these PUMAs only on paper, however, and only for individual states. This note describes the construction of a national, digital base map of the PUMAs used in the 1990 U.S. Census microdata files (5% sample).\"</p>","PeriodicalId":515396,"journal":{"name":"The Cartographic Journal","volume":"34 1","pages":"29-30"},"PeriodicalIF":1.0,"publicationDate":"1997-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"22019734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}