Journal of Spatial Information Science最新文献

{"title":"Examining satellite images market stability using the Records theory: Evidence from French spatial data infrastructures","authors":"C. Jabbour, Anis Hoayek, P. Maurel, Zaher Khraibani, L. Ghalayini","doi":"10.5311/josis.2021.22.711","DOIUrl":"https://doi.org/10.5311/josis.2021.22.711","url":null,"abstract":": The spatial data infrastructures (SDIs) which constitute a direct link between spatial data users and the large Earth observation industry, have a leading role in establishing market opportunities in the space sector. The spatial information supplied through various forms of SDI platforms exhibits large increases in demand volatility. The users’ demand is unpredictable and the market is vulnerable to high evolution shifts. We study the effect of extreme demands for a particular type of spatial information, the satellite images. Drawing on two French SDIs, GEOSUD and PEPS, we examine the shifts occurring on their platforms and assess the probability of witnessing a spike/drop in the short term of different satellite imagery schemes: the high resolution images through GEOSUD; the Landsat (U.S.), Sentinel (Europe) and SPOT (France) images through PEPS. We analyze the market stability through the two SDIs and evaluate the probability of future records by using the Records theory. The results show that the high resolution images demand through GEOSUD, for which the classical i.i.d. model fits the most, is stable. Moreover, the Yang-Nevzorov model fits to the Landsat data, due to more records concentrated beyond the first observations. The Landsat demand is the less stable out of the other three satellite images series, and the probability of having a record in the coming years is the highest. While the use of Records theory drops mathematical constraints, it offers an alternative solution to the non-applicability of the machine learning techniques and long-term memory models.","PeriodicalId":45389,"journal":{"name":"Journal of Spatial Information Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2021-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45397559","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":"Towards detecting, characterizing, and rating of road class errors in crowd-sourced road network databases","authors":"J. Guth, S. Keller, S. Hinz, S. Winter","doi":"10.5311/josis.2021.22.677","DOIUrl":"https://doi.org/10.5311/josis.2021.22.677","url":null,"abstract":"OpenStreetMap (OSM), with its global coverage and Open Database License, has recently gained popularity. Its quality is adequate for many applications, but since it is crowd-sourced, errors remain an issue. Errors in associated tags of the road network, for example, are impacting routing applications. Particularly road classification errors often lead to false assumptions about capacity, maximum speed, or road quality, possibly resulting in detours for routing applications. This study aims at finding potential classification errors automatically, which can then be checked and corrected by a human expert. We develop a novel approach to detect road classification errors in OSM by searching for disconnected parts and gaps in different levels of a hierarchical road network. Different parameters are identified that indicate gaps in road networks. These parameters are then combined in a rating system to obtain an error probability to suggest possible misclassifications to a human user. The methodology is applied to an exemplar case for the state of New South Wales in Australia. The results demonstrate that (1) more classification errors are found at gaps than at disconnected parts, and (2) the gap search enables the user to find classification errors quickly using the developed rating system that indicates an error probability. In future work, the methodology can be extended to include available tags in OSM for the rating system. The source code of the implementation is available via GitHub.","PeriodicalId":45389,"journal":{"name":"Journal of Spatial Information Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2021-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42580735","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":"Deconstruction of geo-analytical questions in terms of measures, supports, and spatio-temporal extents","authors":"E. Nyamsuren, Haiqi Xu, S. Scheider, Eric Top, N. Steenbergen","doi":"10.5311/JOSIS.0.0.741","DOIUrl":"https://doi.org/10.5311/JOSIS.0.0.741","url":null,"abstract":"This study investigates the GeoAnQu corpus of geo-analytical questions. Unlike other question corpora, the questions in this corpus imply analytical goals and are thus supposed to be answered with GIS workflows, not with the retrieval of geographic facts. We investigate how geo-analytical questions are structured syntactically and semantically, and how the structure may be interpreted by human analysts to compose workflows. Our question analysis model is based on the notions of a measure, support, and extent, which are inspired by Sinton’s three dimensions of spatial analysis. We use XPath queries to automatically extract syntactic patterns from constituency parse trees corresponding to these notions. Results show that geo-analytical questions are of considerable complexity, yet often have predictable syntactic patterns that can be reliably mapped to measures, supports, and extents. Furthermore, we identify analytical goals attributable to these notions. To our knowledge, this is the first reported systematic analysis of this kind. The findings open new opportunities in Natural Language Interpretation and query generation for the automated answering of geo-analytical questions. Additionally, our study shows that questions asked in a scientific context can be on different levels of concreteness. Therefore, we also discuss best practices for formulating questions clearly and concretely.","PeriodicalId":45389,"journal":{"name":"Journal of Spatial Information Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2021-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42112390","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":"Fuzzy Similarity and Fuzzy Inclusion Measures in the Process of Identification of Polyline Spatial Features","authors":"R. Ďuračiová, Alexandra Rášová, T. Lieskovský","doi":"10.5311/JOSIS.0.0.352","DOIUrl":"https://doi.org/10.5311/JOSIS.0.0.352","url":null,"abstract":"","PeriodicalId":45389,"journal":{"name":"Journal of Spatial Information Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2017-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48583680","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":"Aggregating Value Functions: A Parameter-free, Uncertainty-aware Method to Elicit and Aggregate Value Functions from Multiple Experts in Multi Criteria Evaluation","authors":"Beni Rohrbach, R. Weibel, P. Laube","doi":"10.5311/JOSIS.0.0.368","DOIUrl":"https://doi.org/10.5311/JOSIS.0.0.368","url":null,"abstract":"","PeriodicalId":45389,"journal":{"name":"Journal of Spatial Information Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2017-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44737638","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":"Fundamentals of Satellite Remote Sensing: An Environmental Approach 2e","authors":"L. Wallace","doi":"10.5311/JOSIS.2017.14.359","DOIUrl":"https://doi.org/10.5311/JOSIS.2017.14.359","url":null,"abstract":"","PeriodicalId":45389,"journal":{"name":"Journal of Spatial Information Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2017-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43265690","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":"GI science, not GIScience","authors":"Andreas Hall","doi":"10.5311/JOSIS.2014.9.204","DOIUrl":"https://doi.org/10.5311/JOSIS.2014.9.204","url":null,"abstract":"The abbreviation “GIS” has been tricky since Michael F. Goodchild proposed in the early 1990s that the meaning of the “S” should change from “systems” to “science” [5, 6]. Until then, no one had suggested that “GIS” would stand for anything else than “geographic information systems” (although “studies” and “services” were also later suggested [6]). “Geographic information systems” was a term coined in the 1960s, and by the late 1980s had evolved into widely adopted software tools [6]. The reason for Goodchild to challenge the meaning of the abbreviation “GIS” was that, at the time, certain researchers began increasingly to view GIS as more than just a tool or system. A shift of focus from systems to science was a way to address the lack of theory and to raise the status of the researchers involved in the field. Initially, Goodchild argued for the use of the term “spatial information science” (in a keynote address at the 4th International Symposium on Spatial Data Handling), but later used “geographic information science” (in a keynote address at the Second European GIS Conference in 1991). When Goodchild shortly thereafter was asked to combine the two keynotes together into a paper for the International Journal of Geographical Information Systems (IJGIS) he wrote that he settled for “geographic” rather than “spatial” as he was intrigued by the ambiguity it implied about the decoding of “GIS” and as it seemed to him that “there might be general truths to be discovered about geographic space that were not equally true of other spaces” [6]. Goodchild started the ball rolling with his 1992 paper. Five years later, in 1996, the International Geographical Union changed the name and structure of their commission on Geographical Information Systems to two working groups: Geographical Information Science and Geographical Modelling [4]. In 1997, IJGIS changed “Systems” to “Science,” and Cartography and Geographic Information Systems followed suit in 1999. The First International Conference on Geographic Information Science was held in 2000, and in 2014, it was held for the eighth time. Nowadays, the domain addressed by geographic information science is well-defined and persistent [6], although the debate regarding whether it is a science or not still resurfaces every now and then [10]. While the scope of geographic information science as a discipline thus is no longer ambiguous, the denotation of the abbreviation “GIS” still is, and this poses a problem. ∗The author would like to acknowledge Vilja Pitkänen at the Aalto University Language Center for her feedback on issues regarding the use of the English language and the author’s co-workers for their feedback on the text in general, especially Paula Ahonen-Rainio, Kirsi Virrantaus, and Andrei Octavian.","PeriodicalId":45389,"journal":{"name":"Journal of Spatial Information Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70769607","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":"Interactive maps: What we know and what we need to know","authors":"Maia Williams, W. Kuhn, M. Painho","doi":"10.5311/JOSIS.2013.6.105","DOIUrl":"https://doi.org/10.5311/JOSIS.2013.6.105","url":null,"abstract":"","PeriodicalId":45389,"journal":{"name":"Journal of Spatial Information Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70769554","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":"EPRA2 specification for SparQ","authors":"R. Moratz, J. O. Wallgrün","doi":"10.5311/JOSIS.2011.5.84.EPRA-2-2.LISP","DOIUrl":"https://doi.org/10.5311/JOSIS.2011.5.84.EPRA-2-2.LISP","url":null,"abstract":"","PeriodicalId":45389,"journal":{"name":"Journal of Spatial Information Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2012-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70769484","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 Taxonomy of Data Quality Measures","authors":"Franz-Benjamin Mocnik, A. Mobasheri, Luisa Griesbaum, Melanie Eckle, C. Jacobs, Carolin Klonner","doi":"10.5311/JOSIS.0.0.360","DOIUrl":"https://doi.org/10.5311/JOSIS.0.0.360","url":null,"abstract":"","PeriodicalId":45389,"journal":{"name":"Journal of Spatial Information Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2009-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70769443","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}