100+ datasets found
  1. ubiMap-l: A Benchmark for Crowdsourced Thematic Map Layout Retrieval and...

    • figshare.com
    zip
    Updated Aug 14, 2025
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    Jian Yang; Cheng Chen; Fenli Jia; Chenyu Zuo; Yeqiu Xu (2025). ubiMap-l: A Benchmark for Crowdsourced Thematic Map Layout Retrieval and Embedding-based Analysis [Dataset]. http://doi.org/10.6084/m9.figshare.28621037.v1
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    zipAvailable download formats
    Dataset updated
    Aug 14, 2025
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Jian Yang; Cheng Chen; Fenli Jia; Chenyu Zuo; Yeqiu Xu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The ubiMap dataset is comprised of 3,530 map images collected from the Bing image search service (1,730 maps) and Geo-Journal (1,800 maps). Each image has been manually labeled with 22 types of map elements, including their boundary shapes and category properties, resulting in an average of 5.92 elements per map. ubiMap-l is built uopon ubiMap by removing maps that contained only one element, which results a total of 3,515 maps for map layout retrieval test. We first opensourced 703 maps in ubiMap-l that we used for testing our map layout representation learning framework, MapLayNet. Besides 703 map images and their layout label data, embedding of MapLayNet and its baseline model is provided along with the python codes for embedding visualizaiton. Please cite the paper if you use the dataset. Yang, J., Chen, C., Jia, F., Xie, X., Fang, L., Wang, G., & Meng, L. (2025). MapLayNet: map layout representation learning using weakly supervised structure-aware graph neural networks. Cartography and Geographic Information Science, 1–22. https://doi.org/10.1080/15230406.2025.2533316

  2. a

    Add Maps to a Layout

    • hub.arcgis.com
    Updated Jan 17, 2019
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    State of Delaware (2019). Add Maps to a Layout [Dataset]. https://hub.arcgis.com/documents/a792c48c2c314e528672c4abf45c9bfa
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    Dataset updated
    Jan 17, 2019
    Dataset authored and provided by
    State of Delaware
    Description

    A layout is a composition of one or more maps along with supporting elements, such as a title, a legend, and descriptive text. Some layouts include more than one map. For example, a layout may have a main map and an overview map to show the main map in a larger geographic context.Estimated time: 45 minutesSoftware requirements: ArcGIS Pro

  3. Data from: A tourist map of Xi’an: combining historical city characteristics...

    • tandf.figshare.com
    pdf
    Updated Feb 12, 2024
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    Min Weng; Xiaoyan Song; Lingqi Wang; Huan Xie; Ping Zhang; Shiliang Su; Mengjun Kang (2024). A tourist map of Xi’an: combining historical city characteristics with art [Dataset]. http://doi.org/10.6084/m9.figshare.13260305.v2
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    pdfAvailable download formats
    Dataset updated
    Feb 12, 2024
    Dataset provided by
    Taylor & Francishttps://taylorandfrancis.com/
    Authors
    Min Weng; Xiaoyan Song; Lingqi Wang; Huan Xie; Ping Zhang; Shiliang Su; Mengjun Kang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Xi'An
    Description

    The design of tourist maps of historical cities sometimes fails to balance functionality and artistry or does not fully reflect cities’ cultural connotations. In this paper, we select Xi'an, China, as a study case and design a tourist map through a spatial narrative to reflect its artistic characteristics in the layout design, color design and symbol design. A few operational suggestions are proposed for improving functionality and artistry in tourist mapping, including variable scales, topological optimization, hand-painted symbols and colors extracted from the architecture of the city.

  4. f

    Data from: Flowmapper.org: a web-based framework for designing...

    • tandf.figshare.com
    • figshare.com
    docx
    Updated Dec 15, 2023
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    Caglar Koylu; Geng Tian; Mary Windsor (2023). Flowmapper.org: a web-based framework for designing origin–destination flow maps [Dataset]. http://doi.org/10.6084/m9.figshare.18142635.v2
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    docxAvailable download formats
    Dataset updated
    Dec 15, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Caglar Koylu; Geng Tian; Mary Windsor
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    FlowMapper.org is a web-based framework for automated production and design of origin-destination flow maps. FlowMapper has four major features that contribute to the advancement of existing flow mapping systems. First, users can upload and process their own data to design and share customized flow maps. The ability to save data, cartographic design and map elements in a project file allows users to easily share their data and/or cartographic design with others. Second, users can generate customized flow symbols to support different flow map reading tasks such as comparing flow magnitudes and directions and identifying flow and location clusters that are strongly connected with each other. Third, FlowMapper supports supplementary layers such as node symbols, choropleth, and base maps to contextualize flow patterns with location references and characteristics. Finally, the web-based architecture of FlowMapper supports server-side computational capabilities to process and normalize large flow data and reveal natural patterns of flows.

  5. a

    How To Create a Map Layout (for export or printing)

    • hub.arcgis.com
    • public-townofcobourg.hub.arcgis.com
    • +1more
    Updated Nov 12, 2021
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    melanie.chatten (2021). How To Create a Map Layout (for export or printing) [Dataset]. https://hub.arcgis.com/documents/e18207314c104db18ce1129542aa4f6a
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    Dataset updated
    Nov 12, 2021
    Dataset authored and provided by
    melanie.chatten
    License

    https://public-townofcobourg.hub.arcgis.com/pages/terms-of-usehttps://public-townofcobourg.hub.arcgis.com/pages/terms-of-use

    Description

    This guide describes how to create a map layout with the print widget. The digital map that you create can then be printed or saved.

  6. I

    Interactive Map Creation Tools Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 15, 2025
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    Market Research Forecast (2025). Interactive Map Creation Tools Report [Dataset]. https://www.marketresearchforecast.com/reports/interactive-map-creation-tools-35432
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Discover the booming interactive map creation tools market! This in-depth analysis reveals a $2.5 billion market in 2025, projected to reach $8 billion by 2033, driven by cloud-based solutions and growing data visualization needs. Learn about key players, market segmentation, and regional trends shaping this exciting sector.

  7. e

    Division into map sheets of base maps of medium scales at the scale...

    • data.europa.eu
    Updated Nov 18, 2014
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    (2014). Division into map sheets of base maps of medium scales at the scale 1:1,000,000 [Dataset]. https://data.europa.eu/data/datasets/cz-cuzk-kzm1m-t?locale=en
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    Dataset updated
    Nov 18, 2014
    Description

    Division into map sheets of medium scale base maps at scale 1:1,000,000 (KZM 1M) allows localization of map sheets of Base maps 1:25,000, 1:50,000, 1:100,000 and 1:200,000 based on the Map of the Czech Republic 1: 1,000,000. Map layout consists of the system of neat lines which indicates the relative position and identification of map sheets of Base maps 1:200,000, 1:100,000 and 1:50,000 and location of Base map 1:25,000 map sheets. Map lettering includes standard geographical names (names of settlements,hydrografy and orographic units), numeric designation of map sheets of base maps at scales 1:200,000, 1:100,000 and 1:50,000, name and scale of map layout, tirage data, data of graphic scale and text part of map legend. Map legend includes map layout of medium scale base maps, limitation and examples of numeric designation of base maps at scales 1:25,000 to 1:200,000 and map symbols of district, regional and state boundaries. The subjects of topographic content (ie planimetry and geographic names) and map layout of medium scale base maps, with the exception of national administrative boundaries, are shown also on adjacent parts of the neighboring countries territory. In the overview of map layout neat lines are only in the neighboring countries territory of the map sheets which contain the Czech Republic territory.

  8. f

    Mapping key findings to design dimensions.

    • datasetcatalog.nlm.nih.gov
    Updated Jul 2, 2025
    + more versions
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    Bian, Ze; Dong, Miaomiao; Zhu, Yuan (2025). Mapping key findings to design dimensions. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0002071787
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    Dataset updated
    Jul 2, 2025
    Authors
    Bian, Ze; Dong, Miaomiao; Zhu, Yuan
    Description

    With the surge in smartwatch popularity, presenting diverse data on a compact screen poses significant challenges. Previous research has primarily focused on the visual design of smartwatch faces, with limited exploration into how information interacts with users. Moreover, these studies have inadequately addressed interaction and practicality in information visualization. Our work analyzed 518 Huawei and 435 Facer smartwatch faces, synthesizing existing design elements and integrating insights from prior literature to propose a structured design framework that encompasses five key dimensions: content, composition, style, interaction, and practicality. This comprehensive framework not only addresses the visual and functional aspects but also emphasizes the importance of user engagement and individual preferences. By providing detailed guidelines, our framework aims to enhance the interaction, usability, and overall user experience of smartwatch face information visualization, paving the way for more effective and user-centric designs.

  9. e

    Topographic map in 1:10000 scale, M-34-49-D-c-1

    • data.europa.eu
    + more versions
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    Topographic map in 1:10000 scale, M-34-49-D-c-1 [Dataset]. https://data.europa.eu/data/datasets/24dd0d76-581b-46c7-9b9e-9ad685c0b31c
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    Description

    Topographic map on a scale of 1: 10,000 in the 1992 layout is a graphical map (in colour). It shows the shape and cover of the land (including water, vegetation, settlements, roads and a number of other objects). Topographical maps are the primary source of information about the geographical environment. Topographic map on a scale of 1: 10,000 in the 1992 layout is a graphical map (in colour). It shows the shape and cover of the land (including water, vegetation, settlements, roads and a number of other objects). Topographical maps are the primary source of information about the geographical environment. Topographic map on a scale of 1: 10,000 in the 1992 layout is a graphical map (in colour). It shows the shape and cover of the land (including water, vegetation, settlements, roads and a number of other objects). Topographical maps are the primary source of information about the geographical environment. Topographic map on a scale of 1: 10,000 in the 1992 layout is a graphical map (in colour). It shows the shape and cover of the land (including water, vegetation, settlements, roads and a number of other objects). Topographical maps are the primary source of information about the geographical environment. Topographic map on a scale of 1: 10,000 in the 1992 layout is a graphical map (in colour). It shows the shape and cover of the land (including water, vegetation, settlements, roads and a number of other objects). Topographical maps are the primary source of information about the geographical environment.

  10. Data from: HDF4 Data Used to Assess Long-Term Access to Remote Sensing Data...

    • data.nasa.gov
    • nsidc.org
    • +4more
    Updated Apr 1, 2025
    + more versions
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    nasa.gov (2025). HDF4 Data Used to Assess Long-Term Access to Remote Sensing Data with Layout Maps, Version 1 [Dataset]. https://data.nasa.gov/dataset/hdf4-data-used-to-assess-long-term-access-to-remote-sensing-data-with-layout-maps-version-
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    Dataset updated
    Apr 1, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited.This data set consists of a sampling of each type of Hierarchical Data Format version 4 (HDF4) data that are archived at the eight National Aeronautic and Space Administration (NASA) Earth Science Data Centers (ESDCs). The data were sampled for a collaborative study between The HDF Group, the Goddard Earth Sciences Data and Information Services Center (GES-DISC), and the National Snow and Ice Data Center (NSIDC) in order to assess the complex internal byte layout of HDF files. Based on the results of this assessment, methods for producing a map of the layout of the HDF4 files held by NASA were prototyped using a markup-language-based HDF tool. The resulting maps allow a separate program to read the file without recourse to the HDF application programming interface (API). Data products selected for the study, and a table summarizing the results, are available via HTTPS.

  11. e

    Division into map sheets of base maps of medium scales at the scale 1:...

    • data.europa.eu
    Updated Dec 31, 2008
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    (2008). Division into map sheets of base maps of medium scales at the scale 1: 500,000 [Dataset]. https://data.europa.eu/data/datasets/cz-cuzk-kzm500-t?locale=en
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    Dataset updated
    Dec 31, 2008
    Description

    Division into map sheets of medium scale base maps (KZM 500) allows localization of map sheets of medium scale base maps using graphically suppressed content of the Map of the Czech Republic 1: 500,000. Map layout consists of the system of neat lines which indicates the relative position and identification of map sheets of Base maps 1:200,000, 1:100,000, 1:50,000, 1:25,000, 1:10,000. In addition map lettering includes standard geographical names, spot heights (altitude), numeric designation of map sheets of base maps at scales 1:25,000 to 1:200,000 in map layout, name and scale of map sheets, tirage data, data of graphic scale, text part of map legend and frame data (geographical coordinates). Map legend includes map layout of Base map 1:10,000, map layout of Base maps 1:50,000 and 1:25,000, limitation and examples of numeric designation of base maps at scales 1:10,000 to 1:200,000 and delimitation of Base map 1:10,000 map sheets. The subjects of topographic content KZM 500, with the exception of national administrative boundaries, are shown also on adjacent parts of the neighboring countries territory. In the overview of map layout neat lines are only in the neighboring countries territory of the map sheets which contain the Czech Republic territory.

  12. Vegetation Inventory, Classification, and Mapping - Sample Design and...

    • catalog.data.gov
    Updated Nov 25, 2025
    + more versions
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    U.S. Fish and Wildlife Service (2025). Vegetation Inventory, Classification, and Mapping - Sample Design and Mapping Data: Minidoka National Wildlife Refuge [Dataset]. https://catalog.data.gov/dataset/vegetation-inventory-classification-and-mapping-sample-design-and-mapping-data-minidoka-na
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    Dataset updated
    Nov 25, 2025
    Dataset provided by
    U.S. Fish and Wildlife Servicehttp://www.fws.gov/
    Description

    Spatial vegetation/habitat database produced for Minidoka National Wildlife Refuge (NWR). Classifications at the level of NVCS Groups and Alliances. This geodatabase also includes all field data: points associated with a parallel Ecological Integrity Assessment, training points, validation points, and accuracy assessment points. This reference includes information about samples collected and a survey conducted by and lead by refuge staff over the course of two years following the initial EIA. Those samples were used to build a vegetation layer for the entire refuge. That work was completed in 2017. Geodatabases include data used for sample design including polygonal habitat classes for stratification, segmentation results used for sampling, management units and study area (AOI). Domain tables and hardcopy field data collection forms for the project are included.

  13. Data from: Computing Data-driven Multilinear Metro Maps

    • tandf.figshare.com
    xml
    Updated Sep 17, 2024
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    Martin Nöllenburg; Soeren Terziadis (2024). Computing Data-driven Multilinear Metro Maps [Dataset]. http://doi.org/10.6084/m9.figshare.26148687.v1
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    xmlAvailable download formats
    Dataset updated
    Sep 17, 2024
    Dataset provided by
    Taylor & Francishttps://taylorandfrancis.com/
    Authors
    Martin Nöllenburg; Soeren Terziadis
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Traditionally, most schematic metro maps in practice as well as metro map layout algorithms adhere to an octolinear layout style with all paths composed of horizontal, vertical, and 45∘-diagonal edges. Despite growing interest in more general multilinear metro maps, generic algorithms to draw metro maps based on a system of k≥2 not necessarily equidistant slopes have not been investigated thoroughly. In this paper, we present and implement an adaptation of the octolinear mixed-integer linear programming approach of Nöllenburg and Wolff (2011) that can draw metro maps schematized to any set C of arbitrary orientations. We further present a data-driven approach to determine a suitable set C by either detecting the best rotation of an equidistant orientation system or by clustering the input edge orientations using a k-medians algorithm. We demonstrate the new possibilities of our method using several real-world examples.

  14. C

    Sheet layout topographic map 1 in 10000

    • ckan.mobidatalab.eu
    wfs, wms
    Updated Sep 4, 2023
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    NationaalGeoregisterNL (2023). Sheet layout topographic map 1 in 10000 [Dataset]. https://ckan.mobidatalab.eu/dataset/sheet-layout-topographic-map-1-by-100001
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    wms, wfsAvailable download formats
    Dataset updated
    Sep 4, 2023
    Dataset provided by
    NationaalGeoregisterNL
    Description

    This file shows the classification of the topographical sheets on a scale of 1 to 10,000 as used by the Land Registry. It concerns the layout of the entire Netherlands. The map image shows an area of ​​10 x 6.25 kilometers.

  15. w

    Short Street general planning layout areas

    • data.wu.ac.at
    csv, esri rest +4
    Updated Oct 6, 2017
    + more versions
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    Logan City Council (2017). Short Street general planning layout areas [Dataset]. https://data.wu.ac.at/schema/data_gov_au/MmVkNWU2ZmM0ZTZjNDFmNWFiMjFjNDdmNzVkN2VjYTQ=
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    html, geojson, esri rest, csv, kml, zipAvailable download formats
    Dataset updated
    Oct 6, 2017
    Dataset provided by
    Logan City Council
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    3a120fcb23725cb2de240a7cff61fac779c10f16
    Description

    This map service is for use by the public and displays key maps from the Logan Planning Scheme 2015. These maps are also available in Council’s interactive mapping tool: http://www.loganinteractivemapping.com.au/. For a full list of planning scheme maps, please refer to Council’s website: http://www.logan.qld.gov.au/planning-and-building/planning-and-development/logan-planning-scheme/

  16. Data from: Campus cultural landscape map: design and user experience...

    • tandf.figshare.com
    tiff
    Updated Nov 18, 2025
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    Tao Zou; Fangyuan Zheng; Yuhui Wang; Chong Zuo; Lanting Zhou; Wanzhen Zhou (2025). Campus cultural landscape map: design and user experience measurement [Dataset]. http://doi.org/10.6084/m9.figshare.30478340.v2
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    tiffAvailable download formats
    Dataset updated
    Nov 18, 2025
    Dataset provided by
    Taylor & Francishttps://taylorandfrancis.com/
    Authors
    Tao Zou; Fangyuan Zheng; Yuhui Wang; Chong Zuo; Lanting Zhou; Wanzhen Zhou
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The campus culture map serves as a navigational tool and plays a crucial role in preserving, emphasizing, and disseminating campus culture due to its graphic, scientific, and portable nature. However, existing research predominantly focuses on evaluating the performance of maps while neglecting the user experience of campus cultural maps. This limits its potential in cultural communication and user interaction. Therefore, we designed a campus cultural landscape map, proposed our design approach at the same time, and then explored the user experience of the map in terms of usability, aesthetics and personal involvement. The experiment recruited 128 participants and evaluated the user experience of the campus cultural landscape map, including usability, personal involvement, and aesthetic evaluation. The findings indicate that the campus cultural landscape map has a high-quality user experience, with an appealing visual interface and high usability. At the same time, participants familiar with the campus cultural landscape have higher personal input when using the campus cultural landscape map. We hope the methods and case studies presented can help map makers and interface designers.

  17. g

    Base map of the Czech Republic 1:200,000

    • geoportal.gov.cz
    • gimi9.com
    • +1more
    Updated Dec 31, 2020
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    (2020). Base map of the Czech Republic 1:200,000 [Dataset]. https://geoportal.gov.cz/php/micka/record/basic/CZ-CUZK-ZM200-T?dlang=eng
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    Dataset updated
    Dec 31, 2020
    Area covered
    Czechia
    Variables measured
    https://www.vugtk.cz/slovnik/termin.php?tid=4151&l=vyskopis, https://www.vugtk.cz/slovnik/termin.php?tid=4147&l=polohopis, https://www.vugtk.cz/slovnik/termin.php?tid=4508&l=popis-mapy, https://www.vugtk.cz/slovnik/termin.php?tid=4042&l=topograficka-mapa, https://www.vugtk.cz/slovnik/termin.php?tid=4373&l=statni-mapove-dilo, https://www.vugtk.cz/slovnik/termin.php?tid=4727&l=vodstvo--hydrografie, https://www.vugtk.cz/slovnik/termin.php?tid=4025&l=mapa-stredniho-meritka, https://www.vugtk.cz/slovnik/termin.php?tid=4477&l=geograficke-nazvoslovi, https://www.vugtk.cz/slovnik/termin.php?tid=4006&l=administrativni-hranice, https://www.vugtk.cz/slovnik/termin.php?tid=4388&l=dopravni-infrastruktura, and 2 more
    Description

    Base map of the Czech Republic 1:200,000 (ZM 200) is part of the national map series of medium scale and it is conceived as a synoptic general geographical map. The territory of the Czech Republic is captured on 18 map sheets in a continuous map layout. Dimensions and designation of ZM 200 map sheets represent a basic element of design of map layout of base maps of the Czech Republic. The name of the map sheet is the same as the name of the largest place (by population) displayed on the map sheet. The dimensions of paper of the map are 62 x 46 cm, the map face, which in average shows an area of 7280 km2, has a trapezoidal shape with a height of 38 cm and a length of bases from 47.03 to 49.22 cm. The first edition of ZM 200 was carried out from 1970 to 1971. ZM 200 contains planimetry, altimetry and map lettering. The subjects of planimetry are settlements and individual objects, roads, hydrography, boundaries of regions and districts, vegetation and surface of the land. The subject of altimetry is terrain relief displayed by contours. The contour interval is 50 m. Map lettering consists of names of objects, standardized geographical names, spot heights, frame and marginal informations. ZM 200 has been processed by digital technologies using the National database Data200 since 2011. The entire territory of the Czech Republic was processed seamlessly during one year and updating of maps is carried out in a two-year cycle.

  18. g

    Map Design Considerations for Accessibility

    • geohub.lio.gov.on.ca
    • hub.arcgis.com
    • +1more
    Updated Apr 6, 2017
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    Land Information Ontario (2017). Map Design Considerations for Accessibility [Dataset]. https://geohub.lio.gov.on.ca/documents/lio::map-design-considerations-for-accessibility/about
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    Dataset updated
    Apr 6, 2017
    Dataset authored and provided by
    Land Information Ontario
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Description

    In August of 2015 a committee was established between multiple Government of Ontario Ministries (MNRF, MTO, OMAFRA, MOECC, CSC, MEDEI/MRI, MCSS) to investigate and provide recommendations on how to best design maps so they are accessible to as wide an audience as possible. To achieve this, it was critical to consider the challenges that persons with disabilities could have when interacting with and interpreting maps.

    The document focuses on the following considerations for accessible map design:

    Contrast Colour Style and Patterns Font Selection Annotation and Labelling Simplicity and Consistency Alternative Formats and Descriptions

    The document was endorsed in 2016 by the GIS in the OPS Director Manager Working Group (DMWG).

    Although there are new and emerging technologies for creating maps for users with disabilities, the majority of this document is intended to assist designers creating map content for a range of users who have full sight to those with moderately low vision who do not use assistive technology.

    The document does not address the technology or medium used to generate or publish the final map product, or the accessibility concerns that arise out of any technology, such as those outlined in Web Content Accessibility Guidelines published by the World Wide Web Consortium for content published on the web.

    The concepts described within the document are applicable to map design, regardless of how a map is created, produced, or delivered. Consult with your Ministry's Accessibility Coordinator for assistance in these and other areas of accessibility considerations.

    Additional Documentation

    Map Design Considerations for Accessibility (Word)

    Status Completed: Production of the data has been completed

    Maintenance and Update Frequency As needed: Data is updated as deemed necessary

    Contact Land Information Ontario, lio@ontario.ca

  19. f

    Data from: Techniques, challenges, and opportunities in mobile thematic map...

    • tandf.figshare.com
    docx
    Updated Apr 7, 2025
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    Lily Houtman (2025). Techniques, challenges, and opportunities in mobile thematic map design for data journalism [Dataset]. http://doi.org/10.6084/m9.figshare.28740942.v1
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    docxAvailable download formats
    Dataset updated
    Apr 7, 2025
    Dataset provided by
    Taylor & Francis
    Authors
    Lily Houtman
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Maps are increasingly read on mobile devices. Mobile maps necessitate specific design considerations to improve readability and user experience. Little research has focused on how to design mobile thematic maps, in contrast to reference maps. Data journalism represents a common way that the public encounters mobile thematic maps. This paper characterizes the design techniques and challenges associated with mobile thematic cartography in the context of data journalism. Through interviews with 18 expert news cartographers, I show that teams of data journalists are increasingly aware of mobile users, but face numerous constraints when designing for these users. They face time constraints, the need to design for both desktop and mobile, and must reach vast general audiences, meaning they often practice simultaneous design over mobile-first design. News cartographers have also reduced their use of interactivity, which reduces complexity related to designing for both desktop and mobile. This work shows that news cartographers solve mobile thematic map design challenges through iterative design processes that draw from years of expertise, not a strict set of guidelines. News cartographers currently design mobile thematic maps based on generalized best practices, but are uncertain what choices do and do not work for their readersMany news cartographers design maps simultaneously for desktop and mobile, rather than prioritizing one over the otherNews cartographers are decreasing their use of interactive maps, given that they expect news readers want to consume information as fast as possibleNews maps are produced under time constraints that can be limiting on creativity and novelty, and without time for user testing News cartographers currently design mobile thematic maps based on generalized best practices, but are uncertain what choices do and do not work for their readers Many news cartographers design maps simultaneously for desktop and mobile, rather than prioritizing one over the other News cartographers are decreasing their use of interactive maps, given that they expect news readers want to consume information as fast as possible News maps are produced under time constraints that can be limiting on creativity and novelty, and without time for user testing

  20. Data from: Progress and challenges in designing landslide maps for disaster...

    • tandf.figshare.com
    docx
    Updated Nov 14, 2023
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    Elok Surya Pratiwi; Su-Min Shen; Junun Sartohadi (2023). Progress and challenges in designing landslide maps for disaster risk communication: a systematic review [Dataset]. http://doi.org/10.6084/m9.figshare.24486424.v1
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    docxAvailable download formats
    Dataset updated
    Nov 14, 2023
    Dataset provided by
    Taylor & Francishttps://taylorandfrancis.com/
    Authors
    Elok Surya Pratiwi; Su-Min Shen; Junun Sartohadi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    There has been a limited amount of research focused on the design of landslide maps, which are considered as one of the potential means to communicate disaster risks to the public. Hence, this article aims to conduct a systematic review of the process involved in creating landslide maps specifically for the purpose of disaster risk communication with non-expert users. While this topic is still under-studied, it has gained increasing coverage in the peer-reviewed literature over the past five years. The review examines the variations in the process of creating landslide maps, considering aspects such as planning, mapping techniques, presentation, and dissemination. However, there are several areas that require improvement, including diversifying the types of maps, considering the role and involvement of users, developing more user-friendly designs, and reducing reliance on experts during the dissemination process. The findings of this review provide valuable insights into the current limitations in establishing these maps and offer guidance for future research in this field.

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Jian Yang; Cheng Chen; Fenli Jia; Chenyu Zuo; Yeqiu Xu (2025). ubiMap-l: A Benchmark for Crowdsourced Thematic Map Layout Retrieval and Embedding-based Analysis [Dataset]. http://doi.org/10.6084/m9.figshare.28621037.v1
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ubiMap-l: A Benchmark for Crowdsourced Thematic Map Layout Retrieval and Embedding-based Analysis

Explore at:
zipAvailable download formats
Dataset updated
Aug 14, 2025
Dataset provided by
figshare
Figsharehttp://figshare.com/
Authors
Jian Yang; Cheng Chen; Fenli Jia; Chenyu Zuo; Yeqiu Xu
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

The ubiMap dataset is comprised of 3,530 map images collected from the Bing image search service (1,730 maps) and Geo-Journal (1,800 maps). Each image has been manually labeled with 22 types of map elements, including their boundary shapes and category properties, resulting in an average of 5.92 elements per map. ubiMap-l is built uopon ubiMap by removing maps that contained only one element, which results a total of 3,515 maps for map layout retrieval test. We first opensourced 703 maps in ubiMap-l that we used for testing our map layout representation learning framework, MapLayNet. Besides 703 map images and their layout label data, embedding of MapLayNet and its baseline model is provided along with the python codes for embedding visualizaiton. Please cite the paper if you use the dataset. Yang, J., Chen, C., Jia, F., Xie, X., Fang, L., Wang, G., & Meng, L. (2025). MapLayNet: map layout representation learning using weakly supervised structure-aware graph neural networks. Cartography and Geographic Information Science, 1–22. https://doi.org/10.1080/15230406.2025.2533316

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