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Map Generalisation: Fundamental to the Modelling and Understanding of Geographic Space
5 references·5 citing·49 second hop
Map Generalisation: Fundamental to the Modelling and Understanding of Geographic Space (2014)Map Generalisation: Fundamental to the Mo…Geographical information systems (2017)Geographical information syst…Using Geometric Properties to Evaluate Possible Integration of Authoritative and Volunteered Geographic Information (2013)Using Geometric Properties to…User-friendly web mapping: lessons from a citizen science website (2010)User-friendly web mapping: le…Ontologies of geographic information (2010)Ontologies of geographic info…Geographical information systems (1991)Geographical information syst…Deep learning in automatic map generalization: achievements and challenges (2025)Deep learning in automatic ma…Learning from vector data: enhancing vector-based shape encoding and shape classification for map generalization purposes (2023)Learning from vector data: en…Methodology of the automatic generalization of buildings, road networks, forests and surface waters: a case study based on the Topographic Objects Database in Poland (2018)Methodology of the automatic …Production of Topographic Maps with VGI: Quality Management and Automation (2017)Production of Topographic Map…Enhancing building footprints with squaring operations (2016)Enhancing building footprints…Geographical information science (1992)Toward Spatially Integrated Social Science (2000)Positional error in automated geocoding of residential addresses (2003)Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know (2005)How Language Structures Space (1983)Intentionality (1983)How to Lie with Maps (1996)Geons – domain-specific regionalization of space (2014)Space–Time Analysis: Concepts, Quantitative Methods, and Future Directions (2015)Place versus Space: From Points, Lines and Polygons in GIS to Place-Based Representations Reflecting Language and Culture (2018)Citizens as Voluntary Sensors: Spatial Data Infrastructure in the World of Web 2.0 (2007)How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)Quality Assessment of the French OpenStreetMap Dataset (2010)A flexible framework for assessing the quality of crowdsourced data (2014)A Spatio-Temporal VGI Model Considering Trust-Related Information (2016)Volunteered geographic information quality assessment using trust and reputation modelling in land administration systems in developing countries (2018)Diffusion of innovations. (2003)OpenStreetMap: User-Generated Street Maps (2008)Does Participation in Citizen Science Improve Scientific Literacy? A Study to Compare Assessment Methods (2011)Volunteered Geographic Information, the Exaflood, and the Growing Digital Divide (2012)Innovation in Citizen Science – Perspectives on Science-Policy Advances (2018)Diffusion of Innovations 1 (2019)Generalization in Digital Cartography (1992)Optimization approaches for generalization and data abstraction (2005)Experiments to Distribute Map Generalization Processes (2018)A Progressive Simplification Method for Buildings Based on Structural Subdivision (2022)DeepMapScaler: a workflow of deep neural networks for the generation of generalised maps (2023)How Many Volunteers Does it Take to Map an Area Well? The Validity of Linus’ Law to Volunteered Geographic Information (2010)The Relevance of Protocols for VGI Collection (2017)Opportunities for using the volunteered geographic information within the national spatial data infrastructure (2019)Incorporating ideas of structure and meaning in interactive multi scale mapping environments (2023)GIS and Generalization: Methodology and Practice (1996)Methodology for evaluating automated map generalization in commercial software (2009)Fully automated generalization of a 1:50k map from 1:10k data (2013)Knowledge‐Guided Automated Cartographic Generalization Process Construction: A Case Study Based on Map Analysis of Public Maps of China (2024)Geographic information systems: A management perspective (1989)Spatial Data Analysis in the Social and Environmental Sciences (1990)Geographic information systems: An introduction (1991)The application of geographical information systems to important public health problems in Africa (2002)Why are spatial decision support systems not used? Some experiences from the Netherlands (2003)3.10 Remote Sensing and GIS for Natural Hazards Assessment and Disaster Risk Management (2013)Map Generalization: Making Rules for Knowledge Representation (1991)Learning Cartographic Building Generalization with Deep Convolutional Neural Networks (2019)A review of location encoding for GeoAI: methods and applications (2022)GeoAI for map generalization in multi-scale cartography: foundations, a research agenda, and interdisciplinary perspectives (2026)A review and conceptual framework of automated map generalization (1988)On the Opportunities and Risks of Foundation Models (2021)Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics (2023)GeoAI in Topographic Mapping: Navigating the Future of Opportunities and Risks (2025)
this work references cited by second hop

References

  • 2017Geographical information systems548 cited
  • 2010User-friendly web mapping: lessons from a citizen science website160 cited
  • 1991Geographical information systems146 cited
  • 2010Ontologies of geographic information122 cited
  • 2013Using Geometric Properties to Evaluate Possible Integration of Authoritative and Volunteered Geographic Information36 cited

Cited by

  • 2016Enhancing building footprints with squaring operations18 cited
  • 2017Production of Topographic Maps with VGI: Quality Management and Automation17 cited
  • 2025Deep learning in automatic map generalization: achievements and challenges16 cited
  • 2023Learning from vector data: enhancing vector-based shape encoding and shape classification for map generalization purposes14 cited
  • 2018Methodology of the automatic generalization of buildings, road networks, forests and surface waters: a case study based on the Topographic Objects Database in Poland5 cited

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