Kartta labs: Unrendering historical maps

Sasan Tavakkol; Yao Yi Chiang; Tim Waters; Feng Han; Kisalaya Prasad; Raimondas Kiveris

doi:10.1145/3356471.3365236

Kartta labs: Unrendering historical maps

Sasan Tavakkol
, Yao Yi Chiang
, Tim Waters
, Feng Han
, Kisalaya Prasad
, Raimondas Kiveris

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Scopus citations

Abstract

This paper introduces the Kartta Labs project, an ongoing open-source and open-data project aiming at organizing the world’s historical maps and making them universally accessible and useful. Kartta Labs’ framework is designed as a composition of multiple modules. Each module has a crowdsourcing implementation and an artificial intelligence based implementation. The framework takes images of historical maps, registers them in space and time, generates a vector version of the map content, and allows the users to query for the vector content and recreate the historical maps in various cartographic styles. We refer to this process as unrendering. The resulting machine readable map data can support a variety of scientific studies and applications that require long-term, detailed geographic information in the past, while opening up opportunities in other areas such as entertainment. This paper also presents the preliminary results from one automated module to geolocalize a given historical map.

Original language	English (US)
Title of host publication	Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2019
Editors	Song Gao, Shawn Newsam, Liang Zhao, Dalton Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen
Publisher	Association for Computing Machinery, Inc
Pages	48-51
Number of pages	4
ISBN (Electronic)	9781450369572
DOIs	https://doi.org/10.1145/3356471.3365236
State	Published - Nov 5 2019
Externally published	Yes
Event	3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2019 - Chicago, United States Duration: Nov 5 2019 → …

Publication series

Name	Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2019

Conference

Conference	3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2019
Country/Territory	United States
City	Chicago
Period	11/5/19 → …

Bibliographical note

Publisher Copyright:
© 2019 Copyright held by the owner/author(s).

Keywords

Digital map processing
Historical maps
Kartta Labs
Open data
Open source tools

Publisher link

10.1145/3356471.3365236

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Cite this

Tavakkol, S., Chiang, Y. Y., Waters, T., Han, F., Prasad, K., & Kiveris, R. (2019). Kartta labs: Unrendering historical maps. In S. Gao, S. Newsam, L. Zhao, D. Lunga, Y. Hu, B. Martins, X. Zhou, & F. Chen (Eds.), Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2019 (pp. 48-51). (Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2019). Association for Computing Machinery, Inc. https://doi.org/10.1145/3356471.3365236

Kartta labs: Unrendering historical maps. / Tavakkol, Sasan; Chiang, Yao Yi; Waters, Tim et al.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2019. ed. / Song Gao; Shawn Newsam; Liang Zhao; Dalton Lunga; Yingjie Hu; Bruno Martins; Xun Zhou; Feng Chen. Association for Computing Machinery, Inc, 2019. p. 48-51 (Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tavakkol, S, Chiang, YY, Waters, T, Han, F, Prasad, K & Kiveris, R 2019, Kartta labs: Unrendering historical maps. in S Gao, S Newsam, L Zhao, D Lunga, Y Hu, B Martins, X Zhou & F Chen (eds), Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2019. Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2019, Association for Computing Machinery, Inc, pp. 48-51, 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2019, Chicago, United States, 11/5/19. https://doi.org/10.1145/3356471.3365236

Tavakkol S, Chiang YY, Waters T, Han F, Prasad K, Kiveris R. Kartta labs: Unrendering historical maps. In Gao S, Newsam S, Zhao L, Lunga D, Hu Y, Martins B, Zhou X, Chen F, editors, Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2019. Association for Computing Machinery, Inc. 2019. p. 48-51. (Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2019). doi: 10.1145/3356471.3365236

Tavakkol, Sasan ; Chiang, Yao Yi ; Waters, Tim et al. / Kartta labs : Unrendering historical maps. Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2019. editor / Song Gao ; Shawn Newsam ; Liang Zhao ; Dalton Lunga ; Yingjie Hu ; Bruno Martins ; Xun Zhou ; Feng Chen. Association for Computing Machinery, Inc, 2019. pp. 48-51 (Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2019).

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Kartta labs: Unrendering historical maps

Abstract

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