Proceedings of the 6th ACM SIGSPATIAL International Workshop on Geospatial Humanities最新文献

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Deep mapping middletown: representing ethnographic data spatially 深度映射中城:在空间上表示人种学数据
J. Connolly, John Fillwalk
{"title":"Deep mapping middletown: representing ethnographic data spatially","authors":"J. Connolly, John Fillwalk","doi":"10.1145/3557919.3565815","DOIUrl":"https://doi.org/10.1145/3557919.3565815","url":null,"abstract":"This presentation reviews several conceptual and technical challenges associated with the newly launched Deep Mapping Middletown project. Organized by a team of scholars and librarians from several institutions, the project will produce a deep map (or maps) based on the extensive archive created by the century of social research focused on Muncie, Indiana as a result of its role in the Middletown studies conducted by Robert and Helen Lynd. A key goal of this effort is to develop immersive experiences that draw upon the data collected through the investigations of \"Middletown\" that have been completed over the course of the last century. The project represents an opportunity to address questions tied to the spatialization of data derived from ethnographic texts, survey questionnaires, oral histories and other forms of social research.","PeriodicalId":262118,"journal":{"name":"Proceedings of the 6th ACM SIGSPATIAL International Workshop on Geospatial Humanities","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132505283","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}
引用次数: 0
MapReader MapReader
Kasra Hosseini, Daniel C. S. Wilson, K. Beelen, Katherine McDonough
{"title":"MapReader","authors":"Kasra Hosseini, Daniel C. S. Wilson, K. Beelen, Katherine McDonough","doi":"10.1145/3557919.3565812","DOIUrl":"https://doi.org/10.1145/3557919.3565812","url":null,"abstract":"We present MapReader, a free, open-source software library written in Python for analyzing large map collections. MapReader allows users with little computer vision expertise to i) retrieve maps via web-servers; ii) preprocess and divide them into patches; iii) annotate patches; iv) train, fine-tune, and evaluate deep neural network models; and v) create structured data about map content. We demonstrate how MapReader enables historians to interpret a collection of ≈16K nineteenth-century maps of Britain (≈30.5M patches), foregrounding the challenge of translating visual markers into machine-readable data. We present a case study focusing on rail and buildings. We also show how the outputs from the MapReader pipeline can be linked to other, external datasets. We release ≈62K manually annotated patches used here for training and evaluating the models.","PeriodicalId":262118,"journal":{"name":"Proceedings of the 6th ACM SIGSPATIAL International Workshop on Geospatial Humanities","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115060051","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}
引用次数: 3
Setting a standard for open and collaborative data acquisition for historical cartography: digitizing the french État-major maps as a collaboration between the ANR COMMUNES and open historical maps 为历史制图的开放和协作数据采集设定标准:将法国État-major地图数字化,作为ANR公社和开放历史地图之间的合作
A. Litvine, Hanae El Gouj, Jeffery M. Meyer, Arthur Starzec, Thomas Thévenin, Isabelle Séguy, Christophe Mimeur, Doriane Hare, Raphaëlle Boissard, Damien Roy
{"title":"Setting a standard for open and collaborative data acquisition for historical cartography: digitizing the french État-major maps as a collaboration between the ANR COMMUNES and open historical maps","authors":"A. Litvine, Hanae El Gouj, Jeffery M. Meyer, Arthur Starzec, Thomas Thévenin, Isabelle Séguy, Christophe Mimeur, Doriane Hare, Raphaëlle Boissard, Damien Roy","doi":"10.1145/3557919.3565811","DOIUrl":"https://doi.org/10.1145/3557919.3565811","url":null,"abstract":"This paper documents a large-scale crowdsourcing operation based on nineteenth-century French military maps using the Open Historical Map (OHM) interface. It explains how the project was conceived, and offers a template for future large-scale collaborative mapping projects.","PeriodicalId":262118,"journal":{"name":"Proceedings of the 6th ACM SIGSPATIAL International Workshop on Geospatial Humanities","volume":"255 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134309235","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}
引用次数: 0
A data structure for scientific models of historical cities: extending the CityJSON format 历史城市科学模型的数据结构:扩展CityJSON格式
Beatrice Vaienti, Paul Guhennec, I. D. Lenardo
{"title":"A data structure for scientific models of historical cities: extending the CityJSON format","authors":"Beatrice Vaienti, Paul Guhennec, I. D. Lenardo","doi":"10.1145/3557919.3565813","DOIUrl":"https://doi.org/10.1145/3557919.3565813","url":null,"abstract":"In the field of the 3D reconstruction of cities in the past there is a raising interest in the creation of models that are not just geometrical, but also informative, semantic and georeferenced. Despite the advancements that were done in the historical reconstruction of architecture and archaeology, the solutions designed for larger scale models are still very limited. On the other hand, research on the digitisation of current-day cities provides useful instruments. In particular, CityJSON - a JSON encoding of CityGML - represents an easy-to-use and lightweight solution for storing 3D models of cities that are geolocated, semantic and that contain additional information in the form of attributes. This contribution proposes (1) to extend the schema to the needs of a historical representation; and (2) to incorporate the newly created model in a continuous flow pipeline, in which the geometry is dynamically updated each time an attribute is changed, as a means to foster collaboration.","PeriodicalId":262118,"journal":{"name":"Proceedings of the 6th ACM SIGSPATIAL International Workshop on Geospatial Humanities","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116653952","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}
引用次数: 2
Mapping migration regions and their evolution from population-scale family trees: what can they tell us about cultural identities and regions today? 从人口规模的家谱绘制移民地区及其演变:它们能告诉我们今天的文化身份和地区吗?
Caglar Koylu, M. Torkashvand, Hoeyun Kwon, A. Kasakoff
{"title":"Mapping migration regions and their evolution from population-scale family trees: what can they tell us about cultural identities and regions today?","authors":"Caglar Koylu, M. Torkashvand, Hoeyun Kwon, A. Kasakoff","doi":"10.1145/3557919.3565814","DOIUrl":"https://doi.org/10.1145/3557919.3565814","url":null,"abstract":"Using a population-scale family tree dataset, this paper proposes a study of migration regions and their evolution in the U.S. between 1789 and 1924. To extract migration events, we use the child ladder approach, which traces family moves based on changes in birthplaces of consecutive children in each individual family. We calculate a time series measure of migration rate and partition the time into optimal periods so that each period has a distinct migration network. We apply community detection to derive migration regions from each network of different periods. We map these regions and use a pair-counting measure to statistically compare the similarity of regions in consecutive time periods. Migration regions reveal the extent to which the strong regional identities we see today, and, in the past, which were rooted in migration. The North/South divide was pervasive not only in the early periods but throughout U.S. history. Migration regions are important for understanding the development of regional and national cultural forms such as music, literature, foodways, and dialects, as well as political divisions and events.","PeriodicalId":262118,"journal":{"name":"Proceedings of the 6th ACM SIGSPATIAL International Workshop on Geospatial Humanities","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115306917","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}
引用次数: 0
Proceedings of the 6th ACM SIGSPATIAL International Workshop on Geospatial Humanities 第六届ACM SIGSPATIAL国际地理空间人文研讨会论文集
{"title":"Proceedings of the 6th ACM SIGSPATIAL International Workshop on Geospatial Humanities","authors":"","doi":"10.1145/3557919","DOIUrl":"https://doi.org/10.1145/3557919","url":null,"abstract":"","PeriodicalId":262118,"journal":{"name":"Proceedings of the 6th ACM SIGSPATIAL International Workshop on Geospatial Humanities","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131289264","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}
引用次数: 0
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