International Journal of Cartography最新文献

{"title":"Smart Cartography: representing complex geographical reality of 21st century","authors":"Nina Polous","doi":"10.1080/23729333.2023.2235498","DOIUrl":"https://doi.org/10.1080/23729333.2023.2235498","url":null,"abstract":"ABSTRACT This article delves into the essence of “Smart Cartography”, a focal point in the international cartographic and geospatial information arena. Rather than the “smart”, the paper concentrates on unpacking the meaning of “cartography” and “map”, by drawing on the ICA 2003 definitions, distilling it to “representation and use of geographical reality”. It posits that the geographical reality, recognized as the “object of mapping” in literature, is the core element needing further investigation. The study further explores historical and contemporary terminology for geographical reality (object of mappings) since the mid-nineteenth century. asserting the reflection of each era's geographical knowledge in its object of mapping. In the constantly evolving, complex world, the paper advocates for a new paradigm capable of encapsulating these characteristics in the representation of geographical reality. Hence, the notion of Smart Cartography must embrace an understanding of temporal changes and spatial dynamism, integrating causally aware systems to comprehend not just the changes but their causes, in turn enhancing the decision-making process. The author concludes that Smart Cartography of the 2030s should adeptly represent the dynamism and complexities of our geographical reality, highlighting its adaptability in line with technological advancements and evolving spatial representation needs.","PeriodicalId":36401,"journal":{"name":"International Journal of Cartography","volume":"6 Suppl 8S 1","pages":"619 - 637"},"PeriodicalIF":0.5,"publicationDate":"2023-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85454785","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":"Possibilities of systematizing cartographic rules","authors":"Jiří Drozda, Vaclav Talhofer, Filip Dohnal","doi":"10.1080/23729333.2023.2251874","DOIUrl":"https://doi.org/10.1080/23729333.2023.2251874","url":null,"abstract":"ABSTRACTMap production is currently based on the use of digital geographic data and advanced software tools for their processing and visualization. The source digital geographic data requires modification according to written and unwritten rules prior to its use for map creation. Both written and unwritten rules then govern the actual processing of the maps. This article suggests a systematization of the rules that are used in the whole technological cycle of map creation. The proposed system of rules is processed into the design of a knowledge ontology database intended for solving especially collapses and other complicated situations in the creation of topographic maps. It focuses on problems that are time-consuming to solve by manual cartographic processing and whose automation has a great potential to bring capacity savings in topographic map creation.RÉSUMÉLa production de cartes repose aujourd'hui sur l'utilisation de données géographiques numériques et d'outils logiciels sophistiqués pour le traitement et la visualisation des données. Les données géographiques numériques initiales doivent être modifiées en fonction de règles écrites et implicites avant leurs utilisations pour la création de carte. Ce sont autant les règles explicites que les règles implicites qui guident le processus de conception cartographique. Cet article propose une systématisation des règles qui sont utilisées lors du processus technique complet de création de cartes. Le système de règles que nous proposons est transformé en conception d'une base de données ontologique des connaissances conçue pour résoudre spécifiquement les disparitions et autres situations complexes rencontrées lors de la conception de cartes topographiques. Ce système se concentre sur des problèmes qui sont longs à résoudre lorsqu'ils sont traités de façon manuelle et pour lesquels l'automatisation a un grand potentiel de gain lors de la création de cartes topographiques.KEYWORDS: Cartographycartography rulesgeneralizationknowledge databaseontology AcknowledgementsThe Technology Agency of the Czech Republic funded this research. Projects name: ‘Research and development of methods for cartographic generalization medium-scale state maps’ (project code TB04CUZK001). Also, the Ministry of Defence of the Czech Republic partly founded this research, project name: ‘Military autonomous and robotic assets’ (Project code VAROPS).Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by Technology Agency of the Czech Republic (TB04CUZK001) and Ministry of Defence of the Czech Republic.Notes on contributorsJiří DrozdaJiří Drozda is the director of the Research Institute of Geodesy, Topography and Cartography, Zdiby, CZ. He worked for Ministry of Defence of the Czech Republic more than 20 years in the various positions at the Military Geographic Institute in Prague. Later on, he was the chief of Military Geographic Service. Since","PeriodicalId":36401,"journal":{"name":"International Journal of Cartography","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134968839","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":"Understanding relevance in maps through the use of knowledge graphs","authors":"Ceballos Cantú José Pablo, Jobst Markus, Gartner Georg","doi":"10.1080/23729333.2023.2257962","DOIUrl":"https://doi.org/10.1080/23729333.2023.2257962","url":null,"abstract":"ABSTRACTThe relation between the ontological and spatial dimensions is not always evident. A tool called SeMaptics that connects the two domains has been developed to better understand this relation. Ontological mapping allows for discrete ontologies to be projected into the spatial field. Such ontologies are regularly seen in a continuous or overlapping layered format in the spatial dimension. However, integrating both spaces results in a novel method, which could add additional perspectives to the map-making process. The objective is to link and map both dimensions enabling user interactions and enhancing semantic probing. This exploration contains some criteria of geographical relevance. These criteria allow for better identification of high-interest areas within any given dataset. SeMaptics implements a graph structure to accommodate graph visualisations using D3js. In this work data from an isolated administrative unit in Austria is presented under both the ontological and spatial dimensions. In order to identify the criteria elements that comprise geographical relevance. Such criteria points are over-viewed in this style of mapping to better understand relevance when exploring spatial data from a semantic viewpoint.RÉSUMÉLes relations entre les dimensions ontologiques et spatiales non sont pas toujours évidentes. Un outil nommé SeMaptics qui connecte les deux domaines a été développé pour mieux comprendre ces relations. La cartographie ontologique permet de projeter les ontologies discrètes sur le champ spatial. De telles ontologies sont souvent vues dans un format en couche continue ou superposée à la dimension spatiale. Pourtant intégrer les deux dimensions aboutit à une nouvelle méthode qui pourrait apporter de nouvelles perspectives au processus de création de cartes. L'objectif est de lier et de cartographier les deux dimensions afin de faciliter les interactions utilisateurs et de mettre en valeur les vérifications sémantiques. Cette exploration contient certains critères de pertinence géographique. Ces critères permettent de mieux identifier les zones de grands intérêts dans un jeu de données. SeMaptics implémente une structure de graphe pour prendre en charge les visualisations de graphes avec D3js. Dans ce travail nous présentons des données d'une unité administrative en Autriche sous les dimensions ontologiques et spatiales afin d'identifier les éléments de critères qui constituent la pertinence géographique. Ces points de critères sont examinés dans ce style de cartographie afin de mieux comprendre leur pertinence lors de l'exploration des données spatiales d'un point de vue sémantique.KEYWORDS: Knowledge graphsgeographical relevanceontology Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsCeballos Cantú José PabloCeballos Cantú José Pablo is a software developer focusing on geospatial technologies at WIGeoGIS (Austria) and a researcher at the Technical","PeriodicalId":36401,"journal":{"name":"International Journal of Cartography","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134969837","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":"Maps in history: Cape Town’s changing waterfront","authors":"Imre Josef Demhardt","doi":"10.1080/23729333.2023.2252175","DOIUrl":"https://doi.org/10.1080/23729333.2023.2252175","url":null,"abstract":"\"Maps in history: Cape Town’s changing waterfront.\" International Journal of Cartography, ahead-of-print(ahead-of-print), pp. 1–2 Disclosure statementNo potential conflict of interest was reported by the author.","PeriodicalId":36401,"journal":{"name":"International Journal of Cartography","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134968525","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":"Developing teaching/learning materials on ‘Sense of Place’ with students in an international university cooperation: overall approach and first phase outcomes at Karlsruhe University of Applied Sciences","authors":"Gertrud Schaab, Serena Coetzee, Nerhene Davis, Faith N. Karanja","doi":"10.1080/23729333.2023.2224487","DOIUrl":"https://doi.org/10.1080/23729333.2023.2224487","url":null,"abstract":"The ‘Cognitive Geomatics’ project is a cooperation between the Karlsruhe University of Applied Sciences (Germany), the University of Pretoria (South Africa) and the University of Nairobi (Kenya). It builds on an earlier geo(infor)matics-focussed cooperation between the first two universities, which is expanded to a third country and to be interdisciplinary in nature through participation of lecturers and students from the social sciences and culture media management. The aim is to jointly develop digital teaching and learning resources related to sense of place, which can be used in blended learning at each university. We aim to learn with and from each other, and to create awareness of cultural differences when using geomatics methods. The adopted approach is one of working together with students on the conceptualization, development and completion of the resources. The project has three phases, each led by a different university, and with a different focus on teaching sense of place. In this paper, the results of the first phase led by the German university are shared. Students developed four digital teaching/learning resources for training awareness of space, making use of web mapping technologies and Sustainable Development Goals data. During a project workshop, the students presented the resources to project team members, who provided feedback and proposed ideas for further work together with students.","PeriodicalId":36401,"journal":{"name":"International Journal of Cartography","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134968346","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":"Cartographers meet in South Africa – the 31st International Cartographic Conference 2023 – Cape Town","authors":"William Cartwright, Ann Ruas, Serena Coetzee","doi":"10.1080/23729333.2023.2254453","DOIUrl":"https://doi.org/10.1080/23729333.2023.2254453","url":null,"abstract":"","PeriodicalId":36401,"journal":{"name":"International Journal of Cartography","volume":"4 1","pages":"411 - 414"},"PeriodicalIF":0.5,"publicationDate":"2023-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86808949","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":"Behind the first Habsburg map of Transylvania – comparative analysis of contemporary manuscript maps","authors":"Z. Bartos-Elekes","doi":"10.1080/23729333.2023.2240861","DOIUrl":"https://doi.org/10.1080/23729333.2023.2240861","url":null,"abstract":"ABSTRACT\u0000 Along with the historical changes, the Habsburg mapping of Transylvania started off at the end of the seventeenth century. Much more detailed maps were made, showing a few hundred settlements that had not been marked before. The best-known printed work of the time is Morando Visconti's map of Transylvania (1699). This study analyses for the first time three other contemporary manuscript maps: Mappa della Transilvania, ca. 1691–1699, Kriegsarchiv, B IX a 691; Continet mappas comitatuum, ca. 1685–1700, ELTE Egyetemi Könyvtár, Collectio Hevenesiana 91; Müller: Mappa Geographica Transylvaniae, ca. 1705–1711, Bayerische Staatsbibliothek, Cod.icon. 180 tb. They bear no date, only one has an author, but they show a close correspondence to Morando Visconti's map. What is the relationship between the printed map and the manuscript maps, what were their sources, of what are they copies? What can we find out about the authors and the date of the manuscript maps? How did the Habsburg mapping of a new province begin?","PeriodicalId":36401,"journal":{"name":"International Journal of Cartography","volume":"7 1","pages":"507 - 524"},"PeriodicalIF":0.5,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87813535","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":"Quantitative expressions of spatial similarity between road networks in multiscale map spaces","authors":"Haowen Yan, Weifang Yang, Xiaomin Lu, Pengbo Li","doi":"10.1080/23729333.2023.2236266","DOIUrl":"https://doi.org/10.1080/23729333.2023.2236266","url":null,"abstract":"ABSTRACT Spatial similarity plays a critical role in the perception and cognition in capturing information from maps; it can be used as a constraint to automate map generalization. Although measuring similarities seems natural to humans, it can be challenging to quantify them. This is especially true when it comes to calculating spatial similarity degrees between groups of spatial objects at varying scales and quantitatively expressing the relations between spatial similarity and change of map scale in multiscale map spaces. Taking road networks as an example, this paper proposes an approach to measuring spatial similarity between a road network at a large scale and its generalized counterpart at a smaller scale. By fitting a power function to three typical types of road networks, this paper provides a formula for expressing the change in spatial similarity as the map scale changes. The proposed quantitative method lays a foundation for using spatial similarity as a constraint during road network generalization.","PeriodicalId":36401,"journal":{"name":"International Journal of Cartography","volume":"1 1","pages":"554 - 570"},"PeriodicalIF":0.5,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83279264","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":"Visualising temporal changes in visitors’ areas of interest using online geotagged photographs","authors":"Bochra Bettaieb, Y. Wakabayashi","doi":"10.1080/23729333.2023.2236267","DOIUrl":"https://doi.org/10.1080/23729333.2023.2236267","url":null,"abstract":"ABSTRACT Geotagged social media records can be used to capture the digital footprint of human spatial behaviour within a city. In particular, the photosharing service Flickr is useful for capturing the distribution of tourists' areas of interest (AOIs). The aim of this study is to visualise the spatial patterns in the AOIs of foreign visitors in central Tokyo. In particular, we paid special attention to how AOIs differ between visitors' home countries as well as how the distribution of the AOIs change. We selected Tokyo's top three major tourism sites (Shinjuku, Ginza, and Asakusa). Data used in this study was derived from geotagged photos on Flickr uploaded in 2014 and 2018. Among them, we collected photos taken within 1.5 km of three transportation stations located in the primary tourist sites. We chose 12,014 photos taken by visitors from Asian (excluding Japan) and European countries. Three types of maps (hot spot map, heat map, and difference map) were complementarily employed to visualise the visitor's different home countries and temporal changes between 2014 and 2018. To construct the hot spot map, point features were aggregated into a rectangular polygon with a 100-m grid square, and hot spot analysis was applied. The heat map was constructed using kernel density estimation. The difference map was employed to visualise the spatial pattern of the visitor's different home countries and any temporal changes between the examined years. The results show differences in the distribution of AOIs between visitors from Asia and Europe. This may reflect a cultural difference in the preference for tourism sites and travel behaviour as well as the amount of information available. Further, the distribution of AOIs changed between 2014 and 2018, which reflects environmental changes due to a redevelopment project.","PeriodicalId":36401,"journal":{"name":"International Journal of Cartography","volume":"18 1","pages":"488 - 506"},"PeriodicalIF":0.5,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78030107","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":"The application of artificial neural networks for the generalisation of military passability maps","authors":"K. Pokonieczny, Wojciech Dawid","doi":"10.1080/23729333.2023.2231589","DOIUrl":"https://doi.org/10.1080/23729333.2023.2231589","url":null,"abstract":"ABSTRACT Passability maps are cartographic studies that are generally used by commanders in order to plan military operations. Pursuant to standardisation documents, they are developed by marking passable, hardly passable and impassable (GO, SLOW GO and NO GO) areas. This article presents a methodology for the generalisation of passability maps that are created automatically. For this purpose, artificial neural networks (ANN) were used, and, specifically, a multilayer perceptron. Teaching the network consisted in presenting the neural network examples of manual generalisation of source maps. The paper describes the manner of preparing teaching data to train artificial neural networks and their implementation, which leads to the creation of the resulting maps. The maps were generated in multiple input configurations of teaching data, which allowed us to conduct comparisons of the obtained maps. Areas of various levels of passability generalised manually by the operator were compared to maps generated by the ANN. In order to test the consistency of maps, Moran’s I spatial autocorrelation coefficient was determined. The conducted tests allowed us to obtain the optimum parameters of the generalisation process. The proposed methodology is fully automated and may be applied to any source data in any chosen area.","PeriodicalId":36401,"journal":{"name":"International Journal of Cartography","volume":"11 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84508410","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}