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International Journal of Cartography Volume 6, 2020 - Issue 1: A New Generation for Map Generalisation
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Articles

Simplification of polylines by segment collapse: minimizing areal displacement while preserving area

Barry J. KronenfeldDepartment of Geology and Geography, Eastern Illinois University, Charleston, IL, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-9518-2462View further author information
ORCID Icon,
Lawrence V. StanislawskiU.S. Geological Survey, Center of Excellence for Geospatial Information Science, Rolla, MO, USAORCID Iconhttps://orcid.org/0000-0002-9437-0576View further author information
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Barbara P. ButtenfieldDepartment of Geography, University of Colorado, Boulder, CO, USAORCID Iconhttps://orcid.org/0000-0001-5961-5809View further author information
ORCID Icon &
Tyler BrockmeyerU.S. Geological Survey, Center of Excellence for Geospatial Information Science, Rolla, MO, USAView further author information
Pages 22-46 | Received 30 Sep 2018, Accepted 22 May 2019, Published online: 30 Jul 2019

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Haowen Yan, Weifang Yang, Xiaomin Lu & Pengbo Li. (2023) Quantitative expressions of spatial similarity between road networks in multiscale map spaces. International Journal of Cartography 9:3, pages 554-570.
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Xiongfeng Yan & Min Yang. (2023) A deep learning approach for polyline and building simplification based on graph autoencoder with flexible constraints. Cartography and Geographic Information Science 0:0, pages 1-18.
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Lu Wang, Tinghua Ai, Dirk Burghardt, Yilang Shen & Min Yang. (2023) A hexagon-based method for polygon generalization using morphological operators. International Journal of Geographical Information Science 37:1, pages 88-117.
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Jiawei Du, Fang Wu, Jichong Yin, Chengyi Liu & Xianyong Gong. (2022) Polyline simplification based on the artificial neural network with constraints of generalization knowledge. Cartography and Geographic Information Science 49:4, pages 313-337.
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Jiawei Du, Fang Wu, Ruixing Xing, Jinghan Li & Xianyong Gong. (2021) An Automated Approach to Coastline Simplification for Maritime Structures with Collapse Operation. Marine Geodesy 44:3, pages 157-195.
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Articles from other publishers (5)

Joanna Bac-Bronowicz, Piotr Banasik & Tadeusz Chrobak. (2023) Automatic simplification of the geometry of a cartographic line using contractive self-mapping – illustrated with an example of a polyline band. Polish Cartographical Review 55:1, pages 73-86.
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E. Lynn Usery, Samantha T. Arundel, Ethan Shavers, Lawrence Stanislawski, Philip Thiem & Dalia Varanka. (2021) GeoAI in the US Geological Survey for topographic mapping. Transactions in GIS 26:1, pages 25-40.
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Barbara P. Buttenfield, Lawrence V. Stanislawski, Barry J. Kronenfeld & Ethan Shavers. 2021. Handbook of Big Geospatial Data. Handbook of Big Geospatial Data 589 618 .
Bo Liu, Xuechao Liu, Dajun Li, Yu Shi, Gabriela Fernandez & Yandong Wang. (2020) A Vector Line Simplification Algorithm Based on the Douglas–Peucker Algorithm, Monotonic Chains and Dichotomy. ISPRS International Journal of Geo-Information 9:4, pages 251.
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Chengming Li, Man Guo, Pengda Wu & Yong Yin. (2020) Investigation on Classification and Cleaning for Visually Self-Intersected Monocyclic Polygons. IEEE Access 8, pages 192936-192950.
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