Academic Journal
Displaying Spatial Epistemologies on Web GIS: Using Visual Materials from the Chinese Local Gazetteers as an Example
| Τίτλος: | Displaying Spatial Epistemologies on Web GIS: Using Visual Materials from the Chinese Local Gazetteers as an Example |
|---|---|
| Συγγραφείς: | Wang, Sean, Chen, Shih-Pei, Lin, Nung-yao, Yeh, Calvin |
| Πηγή: | International Journal of Humanities and Arts Computing |
| Publication Status: | Preprint |
| Στοιχεία εκδότη: | Edinburgh University Press, 2019. |
| Έτος έκδοσης: | 2019 |
| Θεματικοί όροι: | History, SocArXiv|Social and Behavioral Sciences|International and Area Studies, bepress|Arts and Humanities|History|Asian History, Geographic Information Sciences, SocArXiv|Social and Behavioral Sciences|Geography, Social and Behavioral Sciences, SocArXiv|Arts and Humanities|History|Asian History, Digital Humanities, bepress|Arts and Humanities|History of Art, Architecture, and Archaeology, bepress|Arts and Humanities|Digital Humanities, bepress|Social and Behavioral Sciences|International and Area Studies, Asian History, 0501 psychology and cognitive sciences, SocArXiv|Social and Behavioral Sciences|International and Area Studies|Asian Studies, History of Art, Architecture, and Archaeology, SocArXiv|Arts and Humanities|History, SocArXiv|Arts and Humanities|Digital Humanities, Asian Art and Architecture, SocArXiv|Arts and Humanities|History of Art, Architecture, and Archaeology, Geography, 05 social sciences, SocArXiv|Arts and Humanities, SocArXiv|Arts and Humanities|History of Art, Architecture, and Archaeology|Asian Art and Architecture, 06 humanities and the arts, International and Area Studies, bepress|Social and Behavioral Sciences|Geography, Asian Studies, bepress|Social and Behavioral Sciences|International and Area Studies|Asian Studies, 0602 languages and literature, bepress|Social and Behavioral Sciences, bepress|Arts and Humanities|History, SocArXiv|Social and Behavioral Sciences, Arts and Humanities, SocArXiv|Social and Behavioral Sciences|Geography|Geographic Information Sciences, bepress|Arts and Humanities|History of Art, Architecture, and Archaeology|Asian Art and Architecture, bepress|Arts and Humanities, bepress|Social and Behavioral Sciences|Geography|Geographic Information Sciences |
| Περιγραφή: | In this paper, we introduce a web GIS platform created expressly for exploring and researching a set of 63,467 historical maps and illustrations extracted from 4,000 titles of Chinese local gazetteers. We layer these images with a published, geo-referenced collection of Land Survey Maps of China (1903–1948), which includes the earliest large-scale maps of major cities and regions in China that are produced with modern cartographic techniques. By bringing together historical illustrations depicting spatial configurations of localities and the earliest modern cartographic maps, researchers of Chinese history can study the different spatial epistemologies represented in both collections. We report our workflow for creating this web GIS platform, starting from identifying and extracting visual materials from local gazetteers, tagging them with keywords and categories to facilitate content search, to georeferencing them based on their source locations. We also experimented with neural networks to train a tagger with positive results. Finally, we display them in the web GIS platform with two modes, Images in Map (IIM) and Maps in Map (MIM), and with content- and location-based filtering. These features together enable researchers easy and quick exploration and comparison of these two large sets of geospatial and visual materials of China. |
| Τύπος εγγράφου: | Article |
| Γλώσσα: | English |
| ISSN: | 1755-1706 1753-8548 |
| DOI: | 10.3366/ijhac.2020.0246 |
| DOI: | 10.31235/osf.io/sfz9t |
| Σύνδεσμος πρόσβασης: | https://osf.io/sfz9t/download https://pure.mpg.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=item_3148314 https://www.euppublishing.com/doi/full/10.3366/ijhac.2020.0246 http://hdl.handle.net/21.11116/0000-0004-54AE-A https://osf.io/preprints/socarxiv/sfz9t |
| Rights: | EUP TDM CC BY NC ND |
| Αριθμός Καταχώρησης: | edsair.doi.dedup.....75f057610325d6985132d99d51bc7384 |
| Βάση Δεδομένων: | OpenAIRE |
| ISSN: | 17551706 17538548 |
|---|---|
| DOI: | 10.3366/ijhac.2020.0246 |