SZodixStudyAcademic Library
DashboardShelvesOpen accessMy libraryInboxNotesWriteLearnAlerts
More
Ask your libraryNotificationsQuick citeReview
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
When Traditional Selection Fails: How to Improve Settlement Selection for Small-Scale Maps Using Machine Learning
12 references·6 citing·46 second hop
When Traditional Selection Fails: How to Improve Settlement Selection for Small-Scale Maps Using Machine Learning (2020)When Traditional Selection Fails: How to …Learning Cartographic Building Generalization with Deep Convolutional Neural Networks (2019)Learning Cartographic Buildin…BUILDING GENERALIZATION USING DEEP LEARNING (2018)BUILDING GENERALIZATION USING…Improving settlement selection for small-scale maps using data enrichment and machine learning (2017)Improving settlement selectio…Abstracting Geographic Information in a Data Rich World (2014)Abstracting Geographic Inform…Fully automated generalization of a 1:50k map from 1:10k data (2013)Fully automated generalizatio…Specifying Map Requirements for Automated Generalization of Topographic Data (2009)Specifying Map Requirements f…Generalization-oriented Road Line Classification by Means of an Artificial Neural Network (2007)Generalization-oriented Road …Automatic identification of urban settlement boundaries for multiple representation databases (2007)Automatic identification of u…Overcoming the knowledge acquisition bottleneck in map generalization: The role of interactive systems and computational intelligence (1995)Overcoming the knowledge acqu…Automated Selection of Settlements in Map Generalisation (1972)Automated Selection of Settle…The Principles of Selection (1966)The Principles of SelectionREVIEW ARTICLE (1965)REVIEW ARTICLEDetermining the optimal generalization operators for building footprints using an improved graph neural network model (2024)Determining the optimal gener…Polyline simplification using a region proposal network integrating raster and vector features (2023)Polyline simplification using…Learning from vector data: enhancing vector-based shape encoding and shape classification for map generalization purposes (2023)Learning from vector data: en…Make It Simple: Effective Road Selection for Small-Scale Map Design Using Decision-Tree-Based Models (2022)Make It Simple: Effective Roa…Scale-Dependent Point Selection Methods for Web Maps (2021)Scale-Dependent Point Selecti…Map Generalization for the Future: Editorial Comments on the Special Issue (2020)Map Generalization for the Fu…The geographical magazine (1951)A review and conceptual framework of automated map generalization (1988)Geographical information systems: principles and applications (1992)Map generalization in the Web age (2005)Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation (2020)Objects, parts, and categories. (1984)Geographic Objects with Indeterminate Boundaries. (1997)On the evolution of hierarchical urban systems (1999)Integrating ontological modelling and Bayesian inference for pattern classification in topographic vector data (2009)Exploiting empirical knowledge for automatic delineation of city centres from large-scale topographic databases (2012)A typification method for linear pattern in urban building generalisation (2016)The Predictive Sample Reuse Method with Applications (1975)Studies of Mind and Brain (1982)Line generalisation by repeated elimination of points (1993)Hybrid line simplification for cartographic generalization (2011)Machine Learning Classification of Buildings for Map Generalization (2017)Deriving map images of generalised mountain roads with generative adversarial networks (2022)Modèle de généralisation de données géographiques à base de contraintes et d'autonomie (1999)Automated map generalization with multiple operators: a simulated annealing approach (2003)Methodology for evaluating automated map generalization in commercial software (2009)Generalisation in Practice Within National Mapping Agencies (2014)Measured and perceived visual complexity: a comparative study among three online map providers (2017)GENERALIZATION BASED ON LEAST SQUARES ADJUSTMENT (2000)Generalisation of Geographic Information: Cartographic Modelling and Applications (2007)Designing multi-scale maps: lessons learned from existing practices (2020)Generalization in Digital Cartography (1992)Chaining geographic information web services (2003)Semantic Enablement for Spatial Data Infrastructures (2010)Semantic enrichment of building data with volunteered geographic information to improve mappings of dwelling units and population (2015)Crowdsourcing Street View Imagery: A Comparison of Mapillary and OpenStreetCam (2020)Optimization approaches for generalization and data abstraction (2005)Continuous Generalization for Visualization on Small Mobile Devices (2006)Segmentation and sampling method for complex polyline generalization based on a generative adversarial network (2021)Data‐driven polyline simplification using a stacked autoencoder‐based deep neural network (2022)Polyline simplification based on the artificial neural network with constraints of generalization knowledge (2022)The Distribution of Population: A Constructive Problem (1921)The Nature of Cities (1945)The Natural and Migrational Components of Population Changes in England and Wales, 1921-1931 (1963)URBAN GEOGRAPHY IN THE UNITED STATES: MY EXPERIENCE OF THE FORMATIVE YEARS (1990)Transportation policy profiles of Chinese city clusters: A mixed methods approach (2019)Geographical Filters and their Inverses* (1969)Cartographic generalization in a digital environment: when and how to generalize (1989)Variable-scale Topological Data Structures Suitable for Progressive Data Transfer: The GAP-face Tree and GAP-edge Forest (2005)Geospatial Artificial Intelligence (GeoAI) (2021)Artificial intelligence studies in cartography: a review and synthesis of methods, applications, and ethics (2024)Towards the next generation of Geospatial Artificial Intelligence (2025)
this work references cited by second hop

References

  • 1966The Principles of Selection264 cited
  • 2019Learning Cartographic Building Generalization with Deep Convolutional Neural Networks107 cited
  • 1995Overcoming the knowledge acquisition bottleneck in map generalization: The role of interactive systems and computational intelligence77 cited
  • 2013Fully automated generalization of a 1:50k map from 1:10k data75 cited
  • 2014Abstracting Geographic Information in a Data Rich World72 cited
  • 2007Automatic identification of urban settlement boundaries for multiple representation databases62 cited
  • 2018BUILDING GENERALIZATION USING DEEP LEARNING53 cited
  • 2007Generalization-oriented Road Line Classification by Means of an Artificial Neural Network48 cited
  • 2009Specifying Map Requirements for Automated Generalization of Topographic Data44 cited
  • 1965REVIEW ARTICLE36 cited
  • 2017Improving settlement selection for small-scale maps using data enrichment and machine learning31 cited
  • 1972Automated Selection of Settlements in Map Generalisation19 cited

Cited by

  • 2022Make It Simple: Effective Road Selection for Small-Scale Map Design Using Decision-Tree-Based Models15 cited
  • 2023Learning from vector data: enhancing vector-based shape encoding and shape classification for map generalization purposes

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

14 cited
  • 2020Map Generalization for the Future: Editorial Comments on the Special Issue12 cited
  • 2023Polyline simplification using a region proposal network integrating raster and vector features10 cited
  • 2021Scale-Dependent Point Selection Methods for Web Maps8 cited
  • 2024Determining the optimal generalization operators for building footprints using an improved graph neural network model6 cited