MapReader: Open software for the visual analysis of maps

Python Jupyter Notebook Submitted 15 December 2023 • Published 26 September 2024
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Authors

Rosie Wood (0000-0003-1623-1949), Kasra Hosseini (0000-0003-4396-6019), Kalle Westerling (0000-0002-2014-332X), Andrew Smith (0000-0002-4465-2284), Kaspar Beelen (0000-0001-7331-1174), Daniel C.s. Wilson (0000-0001-6886-775X), Katherine McDonough (0000-0001-7506-1025)

Citation

Wood et al., (2024). MapReader: Open software for the visual analysis of maps. Journal of Open Source Software, 9(101), 6434, https://doi.org/10.21105/joss.06434

@article{Wood2024, doi = {10.21105/joss.06434}, url = {https://doi.org/10.21105/joss.06434}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {101}, pages = {6434}, author = {Rosie Wood and Kasra Hosseini and Kalle Westerling and Andrew Smith and Kaspar Beelen and Daniel C.s. Wilson and Katherine McDonough}, title = {MapReader: Open software for the visual analysis of maps}, journal = {Journal of Open Source Software} }
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image classification computer vision deep learning computational humanities digital humanities maps history

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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Journal of Open Source Software is an affiliate of the Open Source Initiative.

Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

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ISSN 2475-9066