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Cartography and Geographic Information Science Volume 45, 2018 - Issue 2
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Original Articles

Improving settlement selection for small-scale maps using data enrichment and machine learning

Izabela KarszniaDepartment of Geoinformatics, Cartography and Remote Sensing, University of Warsaw, PolandCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0001-5510-8770View further author information
ORCID Icon &
Robert WeibelDepartment of Geography, University of Zurich, SwitzerlandORCID Iconhttp://orcid.org/0000-0002-2425-0077View further author information
ORCID Icon
Pages 111-127 | Received 30 Apr 2016, Accepted 15 Dec 2016, Published online: 12 Jan 2017

Citations (14)

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Read on this site (6)

Baode Jiang, Shaofen Xu & Zhiwei Li. (2023) Polyline simplification using a region proposal network integrating raster and vector features. GIScience & Remote Sensing 60:1.
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Tianyuan Xiao, Tinghua Ai, Huafei Yu, Min Yang & Pengcheng Liu. (2023) A point selection method in map generalization using graph convolutional network model. Cartography and Geographic Information Science 0:0, pages 1-21.
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Min Yang, Tuo Yuan, Xiongfeng Yan, Tinghua Ai & Chenjun Jiang. (2022) A hybrid approach to building simplification with an evaluator from a backpropagation neural network. International Journal of Geographical Information Science 36:2, pages 280-309.
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Izabela Karsznia, Marta Przychodzeń & Karolina Sielicka. (2020) Methodology of the automatic generalization of buildings, road networks, forests and surface waters: a case study based on the Topographic Objects Database in Poland. Geocarto International 35:7, pages 735-758.
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Guillaume Touya, Xiang Zhang & Imran Lokhat. (2019) Is deep learning the new agent for map generalization?. International Journal of Cartography 5:2-3, pages 142-157.
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Cheng Fu, Zhiyong Zhou, Yu Feng & Robert Weibel. Keeping walls straight: data model and training set size matter for deep learning in building generalization. Cartography and Geographic Information Science 0:0, pages 1-16.
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Articles from other publishers (8)

Izabela Karsznia, Karolina Wereszczyńska & Robert Weibel. (2022) Make It Simple: Effective Road Selection for Small-Scale Map Design Using Decision-Tree-Based Models. ISPRS International Journal of Geo-Information 11:8, pages 457.
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Mathias Gröbe & Dirk Burghardt. (2021) Scale-Dependent Point Selection Methods for Web Maps. KN - Journal of Cartography and Geographic Information 71:3, pages 143-154.
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Maciej Lisiewicz & Izabela Karsznia. (2020) Verifying and Exploring Settlement Selection Rules and Variables for Small‐Scale Maps Using Decision Tree‐Based Models. Geographical Analysis 53:3, pages 560-587.
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Hong Zhang, Hoang Nguyen, Xuan-Nam Bui, Trung Nguyen-Thoi, Thu-Thuy Bui, Nga Nguyen, Diep-Anh Vu, Vinyas Mahesh & Hossein Moayedi. (2020) Developing a novel artificial intelligence model to estimate the capital cost of mining projects using deep neural network-based ant colony optimization algorithm. Resources Policy 66, pages 101604.
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Izabela Karsznia & Karolina Sielicka. (2020) When Traditional Selection Fails: How to Improve Settlement Selection for Small-Scale Maps Using Machine Learning. ISPRS International Journal of Geo-Information 9:4, pages 230.
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Karolina Maja Sielicka & Izabela Karsznia. (2019) Evaluating map specifications for automated generalization of settlements and road networks in small-scale maps. Miscellanea Geographica 23:4, pages 242-255.
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Jiemin Zhou, Jie Shen, Shuai Yang, Zhenguo Yu, Karel Stanek & Radim Stampach. (2018) Method of Constructing Point Generalization Constraints Based on the Cloud Platform. ISPRS International Journal of Geo-Information 7:7, pages 235.
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Jaeeun Lee, Hanme Jang, Jonghyeon Yang & Kiyun Yu. (2017) Machine Learning Classification of Buildings for Map Generalization. ISPRS International Journal of Geo-Information 6:10, pages 309.
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