100+ datasets found
  1. R

    Carto Dataset

    • universe.roboflow.com
    zip
    Updated Aug 13, 2022
    + more versions
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    Carto (2022). Carto Dataset [Dataset]. https://universe.roboflow.com/carto/carto
    Explore at:
    zipAvailable download formats
    Dataset updated
    Aug 13, 2022
    Dataset authored and provided by
    Carto
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Variables measured
    Letters
    Description

    Carto

    ## Overview
    
    Carto is a dataset for classification tasks - it contains Letters annotations for 799 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [MIT license](https://creativecommons.org/licenses/MIT).
    
  2. c

    ckanext-cartodbmap

    • catalog.civicdataecosystem.org
    Updated Jun 4, 2025
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    (2025). ckanext-cartodbmap [Dataset]. https://catalog.civicdataecosystem.org/dataset/ckanext-cartodbmap
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    Dataset updated
    Jun 4, 2025
    Description

    The ckanext-cartodbmap extension allows users to leverage the Carto platform for visualizing geospatial data within CKAN, offering a potentially more performant and feature-rich alternative to CKAN's built-in geospatial visualization tools. This extension facilitates not only data visualization but also supports the creation of data-driven narratives through integration with the Carto Builder editor, enabling users to develop engaging stories around their geospatial datasets. By integrating with Carto, users can enhance the way they showcase and interact with geospatial data in CKAN. Key Features: Carto Integration: Provides a seamless way to visualize geospatial data stored in CKAN using the Carto platform, potentially offering advanced mapping capabilities. Carto Builder Support: Enables users to create narratives and stories around their geospatial data through round-tripping support with the Carto Builder editor, facilitating rich data interpretation and presentation. DataStore Resource Limit: Allows administrators to define a row limit for DataStore resources. Resources exceeding this limit will not have a Carto view created, providing control over resource usage (default is 100,000 rows). GeoJSON Preview Removal: Provides the option to disable the default GeoJSON preview within CKAN, allowing the Carto view to be the primary geospatial visualization option. Technical Integration: The extension integrates into CKAN by adding a new resource view that utilizes the Carto platform. To enable this extension, it is necessary to remove the default geojson preview option from the ckan.plugins list within the CKAN configuration file. The row limit is configurable directly within CKAN's configuration settings. Benefits & Impact: By using the cartodbmap extension, CKAN users gain access to more powerful geospatial visualization tools and storytelling capabilities offered by Carto. This integration allows for the creation of more engaging and informative presentations of geospatial data, enhancing the user experience of any CKAN-based application. The configurable resource limit ensures appropriate usage.

  3. R

    Carto Detet Dataset

    • universe.roboflow.com
    zip
    Updated Sep 11, 2024
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    cartoslot (2024). Carto Detet Dataset [Dataset]. https://universe.roboflow.com/cartoslot/carto-detet
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 11, 2024
    Dataset authored and provided by
    cartoslot
    License

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

    Variables measured
    Ng1 Ng2 Ok
    Description

    Carto Detet

    ## Overview
    
    Carto Detet is a dataset for classification tasks - it contains Ng1 Ng2 Ok annotations for 849 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  4. Consumer Segments - Austria (Grid 250m)

    • carto.com
    Updated Jan 30, 2022
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    Experian (2022). Consumer Segments - Austria (Grid 250m) [Dataset]. https://carto.com/spatial-data-catalog/browser/dataset/expn_consumer_se_d36b725c/
    Explore at:
    Dataset updated
    Jan 30, 2022
    Dataset authored and provided by
    Experianhttps://www.experian.de/
    Area covered
    Austria
    Variables measured
    Consumer Segments
    Description

    WorldView segments has been developed to segment the global population into 10 consistent consumer types by analysing data including: demographics, value orientation, attitudes, consumer behaviour and consumption volume. The segments have been identified and validated in detailed international primary reserach. They enable the identification of customer target groups and the segmentation of markets consistently across multiple countries. The data is built using a combination of WorldView Demographics enhanced with consumer survey panel data across a number of regions where available.

  5. OS Open Carto (Mature Support)

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    Updated May 22, 2015
    + more versions
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    Esri UK (2015). OS Open Carto (Mature Support) [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/esriukcontent::os-open-carto-mature-support
    Explore at:
    Dataset updated
    May 22, 2015
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri UK
    Area covered
    Description

    As of the July 2021 basemap update, the raster basemaps (OS Open Carto, Background, Greyscale and Greyscale Labels) have now entered Mature Support. These four services will no longer be updated but will remain available to use for the foreseeable future. We encourage users to switch to the new GB Vector Basemaps. Read more in our blog.The OS Open 'Carto' base map is designed to be used as background mapping providing a seamless map view from small to large scales with a consistent cartographic representation. The sources of data are Ordnance Survey Vector Map District data for small and mid-scales and Open Map Local for larger scales. The currency of the data is; Vector Map District - 05/2021Open Map Local - 04/2021The coverage of the map service is GB. The map projection is British National Grid. The service is appropriate for viewing down to a scale of approximately 1:2,500. Updated: 17/07/2021

  6. S

    Spatial Location Services Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 9, 2025
    + more versions
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    Market Report Analytics (2025). Spatial Location Services Report [Dataset]. https://www.marketreportanalytics.com/reports/spatial-location-services-73816
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

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

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

    The global spatial location services market is experiencing robust growth, driven by increasing demand for precise location intelligence across diverse sectors. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching approximately $45 billion by 2033. This expansion is fueled by several key factors. Firstly, the proliferation of smart devices and the Internet of Things (IoT) is generating massive location data, which fuels the need for sophisticated spatial analysis and location-based services. Secondly, advancements in technologies like GPS, GIS, and machine learning are enhancing the accuracy and capabilities of location services, enabling innovative applications in various industries. Thirdly, the growing adoption of location-based marketing and advertising strategies is creating lucrative opportunities for businesses to engage with customers more effectively. Finally, government initiatives focusing on infrastructure development and smart city projects are further propelling market growth. The market is segmented by application (commercial, municipal, military, others) and type (indoor, outdoor positioning). Commercial applications currently dominate, but the municipal and military segments are expected to witness significant growth in the coming years due to increasing investments in smart city infrastructure and defense modernization programs. The competitive landscape is characterized by a mix of established technology providers, GIS specialists, and consulting firms. Major players like Google Cloud, Oracle, IBM, and HERE Technologies are leveraging their extensive data resources and technological expertise to gain a strong foothold. However, smaller, specialized firms are also thriving by offering niche solutions and innovative applications. Regional variations exist, with North America and Europe currently dominating the market due to higher technology adoption rates and well-established infrastructure. However, the Asia-Pacific region is poised for rapid expansion, driven by increasing smartphone penetration and government support for digitalization initiatives. The market faces challenges such as data privacy concerns, cybersecurity risks, and the need for seamless integration of diverse location data sources. Nevertheless, the overall outlook remains highly positive, indicating substantial growth potential for spatial location services in the years to come.

  7. C

    BD CARTO® theme Equipment

    • ckan.mobidatalab.eu
    wfs, wms
    Updated Apr 11, 2023
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    IGN FR (2023). BD CARTO® theme Equipment [Dataset]. https://ckan.mobidatalab.eu/dataset/bd-carto-theme-equipment
    Explore at:
    wfs, wmsAvailable download formats
    Dataset updated
    Apr 11, 2023
    Dataset provided by
    IGN FR
    Description

    The Equipment theme of BD CARTO® version 3.1 is a theme of the reference cartographic database. Used from the departmental scale (1: 50,000) to the regional scale (1: 250,000), it describes all the information present on the metropolitan territory and the overseas departments.

  8. g

    BD CARTO EM

    • gimi9.com
    Updated Dec 22, 2024
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    (2024). BD CARTO EM [Dataset]. https://gimi9.com/dataset/eu_61489e9abb9cf97a555d4add
    Explore at:
    Dataset updated
    Dec 22, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    enter the image description here * * A vector description of the landscape features of the nineteenth century from the Military Staff Maps at 1: 40 000 on metropolitan France * * The BD carto ® Military Staff is a reference database for describing historical land cover (19th century), linear networks and administrative services throughout the metropolitan area. It is produced to a large extent by image interpretation and automatic extraction of the building. A few departments are the result of co-production with partners (IPAMAC, CBNMC, etc.).

  9. g

    carto borders municipal0 | gimi9.com

    • gimi9.com
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    carto borders municipal0 | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_cm_esino-carto_confini_comunali0/
    Explore at:
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    No abstract provided

  10. Consumer Segments - Philippines (Grid 250m)

    • carto.com
    Updated Mar 21, 2021
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    Experian (2021). Consumer Segments - Philippines (Grid 250m) [Dataset]. https://carto.com/spatial-data-catalog/browser/dataset/expn_consumer_se_7c419edf/
    Explore at:
    Dataset updated
    Mar 21, 2021
    Dataset authored and provided by
    Experianhttps://www.experian.de/
    Area covered
    Philippines
    Variables measured
    Consumer Segments
    Description

    WorldView segments has been developed to segment the global population into 10 consistent consumer types by analysing data including: demographics, value orientation, attitudes, consumer behaviour and consumption volume. The segments have been identified and validated in detailed international primary reserach. They enable the identification of customer target groups and the segmentation of markets consistently across multiple countries. The data is built using a combination of WorldView Demographics enhanced with consumer survey panel data across a number of regions where available.

  11. GRSM Vital Signs

    • nps.hub.arcgis.com
    Updated Feb 26, 2020
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    National Park Service (2020). GRSM Vital Signs [Dataset]. https://nps.hub.arcgis.com/datasets/f47e705d70c74827ad9ac5d4fdf48b62
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    Dataset updated
    Feb 26, 2020
    Dataset authored and provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Description

    This is an editable notes layer used in the Vital Signs story map. It's purpose is to be a cartographic representation of the park's six Vital Signs. Brief text descriptions and photos of each Vital Sign are embedded in the pop-up of each feature.

  12. S

    Spatial Location Services Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 4, 2025
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    Data Insights Market (2025). Spatial Location Services Report [Dataset]. https://www.datainsightsmarket.com/reports/spatial-location-services-508723
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    May 4, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

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

    The global spatial location services market is experiencing robust growth, driven by increasing adoption of location-based services across diverse sectors. The market, estimated at $50 billion in 2025, is projected to expand significantly over the forecast period (2025-2033), fueled by a compound annual growth rate (CAGR) of 15%. This expansion is largely attributed to several key factors. Firstly, the proliferation of smart devices and the rise of the Internet of Things (IoT) are generating vast amounts of location data, creating significant opportunities for service providers. Secondly, advancements in technologies such as GPS, GIS, and mapping software are enhancing the accuracy and efficiency of location-based services, making them more attractive to businesses and consumers alike. Thirdly, the increasing demand for location intelligence across diverse industries, including logistics, transportation, retail, and public safety, is propelling market growth. The commercial sector, currently the largest segment, is expected to maintain its dominance, followed by municipal and military applications. Indoor positioning technology is gaining traction, particularly in smart buildings and indoor navigation applications. North America and Europe currently hold the largest market share, but the Asia-Pacific region is poised for rapid expansion driven by economic growth and increasing digital adoption. Despite the positive outlook, the market faces certain challenges. Data privacy concerns and regulations are becoming increasingly significant, requiring service providers to prioritize data security and comply with evolving legal frameworks. Furthermore, the accuracy and reliability of location data remain critical considerations, and the development of robust and reliable technologies to address these issues is crucial for sustained market growth. Competitive intensity is another challenge. The market is populated by a mix of established technology giants and specialized location services providers. The need for innovation and the ability to adapt to evolving technologies and customer needs are critical for maintaining a competitive advantage. Successful players are leveraging partnerships and mergers and acquisitions to expand their market reach and service offerings. The long-term growth of this market depends on the continued advancement of location technology, addressing privacy concerns, and successfully penetrating new application areas.

  13. C

    BD CARTO® Road Network Theme

    • ckan.mobidatalab.eu
    wfs, wms
    Updated Apr 11, 2023
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    IGN FR (2023). BD CARTO® Road Network Theme [Dataset]. https://ckan.mobidatalab.eu/dataset/bd-carto-theme-network-router
    Explore at:
    wfs, wmsAvailable download formats
    Dataset updated
    Apr 11, 2023
    Description

    The Road Network theme of BD CARTO® version 3.1 is a theme of the reference cartographic database. Used from the departmental scale (1: 50,000) to the regional scale (1: 250,000), it describes all the information present on the metropolitan territory and the overseas departments.

  14. a

    Data from: Carto Line

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Mar 27, 2024
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    Milwaukee County GIS & Land Information (2024). Carto Line [Dataset]. https://hub.arcgis.com/maps/MCLIO::carto-line-3
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    Dataset updated
    Mar 27, 2024
    Dataset authored and provided by
    Milwaukee County GIS & Land Information
    Area covered
    Description

    Cartographic Lines for Cadastral Mapping Covering Milwaukee County, Wisconsin

  15. e

    BD CARTO® Equipment – High construction – Channel

    • data.europa.eu
    + more versions
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    BD CARTO® Equipment – High construction – Channel [Dataset]. https://data.europa.eu/data/datasets/45759f97-5f1b-4537-9313-72e423180faf
    Explore at:
    Description

    The CARTO® BD version 3.2 is the reference map database. Used on the departmental scale (1: 50 000e) regionally (1: 250 000e), it describes all the information present on the metropolitan territory and the overseas departments. The different themes are: ADMINISTRATIVE; EQUIPMENT; DRESSING; HYDROGRAPHY; RESEAU_FERRE; RESEAU_ROUTIER; TOPONYMY.

  16. f

    Quantitative evaluations using the mean activation sequence and CARTO as the...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Zhaoye Zhou; Qi Jin; Long Yu; Liqun Wu; Bin He (2023). Quantitative evaluations using the mean activation sequence and CARTO as the references. [Dataset]. http://doi.org/10.1371/journal.pone.0163445.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Zhaoye Zhou; Qi Jin; Long Yu; Liqun Wu; Bin He
    License

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

    Description

    CC = Correlation coefficient; RE = Relative error.

  17. C

    BD CARTO® theme Administrative Units

    • ckan.mobidatalab.eu
    wfs, wms
    Updated Apr 11, 2023
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    IGN FR (2023). BD CARTO® theme Administrative Units [Dataset]. https://ckan.mobidatalab.eu/dataset/bd-carto-theme-unites-administratives
    Explore at:
    wms, wfsAvailable download formats
    Dataset updated
    Apr 11, 2023
    Dataset provided by
    Institut national de l'information géographique et forestière
    Description

    The Administrative Units theme of BD CARTO® version 3.1 is a theme of the reference cartographic database. Used from the departmental scale (1: 50,000) to the regional scale (1: 250,000), it describes all the information present on the metropolitan territory and the overseas departments.

  18. e

    BD CARTO® Ferry Network – Iron Node – Channel

    • data.europa.eu
    Updated Jan 18, 2018
    + more versions
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    (2018). BD CARTO® Ferry Network – Iron Node – Channel [Dataset]. https://data.europa.eu/data/datasets/b8c44021-fcfd-49d7-a577-4003b0028590/embed
    Explore at:
    Dataset updated
    Jan 18, 2018
    Description

    The CARTO® BD version 3.2 is the reference map database. Used on the departmental scale (1: 50 000e) regionally (1: 250 000e), it describes all the information present on the metropolitan territory and the overseas departments. The different themes are: ADMINISTRATIVE; EQUIPMENT; DRESSING; HYDROGRAPHY; RESEAU_FERRE; RESEAU_ROUTIER; TOPONYMY. The CARTO® BD version 3.2 is the reference map database. Used on the departmental scale (1: 50 000e) regionally (1: 250 000e), it describes all the information present on the metropolitan territory and the overseas departments. The different themes are: ADMINISTRATIVE; EQUIPMENT; DRESSING; HYDROGRAPHY; RESEAU_FERRE; RESEAU_ROUTIER; TOPONYMY. The CARTO® BD version 3.2 is the reference map database. Used on the departmental scale (1: 50 000e) regionally (1: 250 000e), it describes all the information present on the metropolitan territory and the overseas departments. The different themes are: ADMINISTRATIVE; EQUIPMENT; DRESSING; HYDROGRAPHY; RESEAU_FERRE; RESEAU_ROUTIER; TOPONYMY. The CARTO® BD version 3.2 is the reference map database. Used on the departmental scale (1: 50 000e) regionally (1: 250 000e), it describes all the information present on the metropolitan territory and the overseas departments. The different themes are: ADMINISTRATIVE; EQUIPMENT; DRESSING; HYDROGRAPHY; RESEAU_FERRE; RESEAU_ROUTIER; TOPONYMY. The CARTO® BD version 3.2 is the reference map database. Used on the departmental scale (1: 50 000e) regionally (1: 250 000e), it describes all the information present on the metropolitan territory and the overseas departments. The different themes are: ADMINISTRATIVE; EQUIPMENT; DRESSING; HYDROGRAPHY; RESEAU_FERRE; RESEAU_ROUTIER; TOPONYMY. The CARTO® BD version 3.2 is the reference map database. Used on the departmental scale (1: 50 000e) regionally (1: 250 000e), it describes all the information present on the metropolitan territory and the overseas departments. The different themes are: ADMINISTRATIVE; EQUIPMENT; DRESSING; HYDROGRAPHY; RESEAU_FERRE; RESEAU_ROUTIER; TOPONYMY. The CARTO® BD version 3.2 is the reference map database. Used on the departmental scale (1: 50 000e) regionally (1: 250 000e), it describes all the information present on the metropolitan territory and the overseas departments. The different themes are: ADMINISTRATIVE; EQUIPMENT; DRESSING; HYDROGRAPHY; RESEAU_FERRE; RESEAU_ROUTIER; TOPONYMY. The CARTO® BD version 3.2 is the reference map database. Used on the departmental scale (1: 50 000e) regionally (1: 250 000e), it describes all the information present on the metropolitan territory and the overseas departments. The different themes are: ADMINISTRATIVE; EQUIPMENT; DRESSING; HYDROGRAPHY; RESEAU_FERRE; RESEAU_ROUTIER; TOPONYMY. The CARTO® BD version 3.2 is the reference map database. Used on the departmental scale (1: 50 000e) regionally (1: 250 000e), it describes all the information present on the metropolitan territory and the overseas departments. The different themes are: ADMINISTRATIVE; EQUIPMENT; DRESSING; HYDROGRAPHY; RESEAU_FERRE; RESEAU_ROUTIER; TOPONYMY.

  19. e

    BD CARTO® Equipment — Airfield track — Calvados

    • data.europa.eu
    Updated Feb 10, 2022
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    (2022). BD CARTO® Equipment — Airfield track — Calvados [Dataset]. https://data.europa.eu/data/datasets/7129df34-ed8e-439d-9ab9-2f733b6e4330
    Explore at:
    Dataset updated
    Feb 10, 2022
    Description

    The CARTO® BD version 3.2 is the reference map database. Used from the departmental scale (1: 50,000e) regionally (1: 250 000), it describes all the information present in the metropolitan territory and the overseas departments. The different themes are: ADMINISTRATIVE; EQUIPMENT; DRESSING; HYDROGRAPHY; NETWORK_FREE; NETWORK_ROUTIER; TOPONYMY.

  20. p

    BD-L-CARTO20

    • data.public.lu
    • staging.data.public.lu
    pdf, zip
    Updated Oct 5, 2022
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    Administration du cadastre et de la topographie (2022). BD-L-CARTO20 [Dataset]. https://data.public.lu/en/datasets/bd-l-carto20/
    Explore at:
    zip(8216256), zip(238761804), zip(168234872), pdf(135921)Available download formats
    Dataset updated
    Oct 5, 2022
    Dataset authored and provided by
    Administration du cadastre et de la topographie
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Base de données cartographique BD-L-CARTO20 Base de données cartographique à l'échelle 1:20.000, disponible au format Shapefile et Geodatabase ESRI. Date de réalisation : 2015 Datum-Projection : LUREF / EPSG2169 Etendue géographique : Territoire national du Grand-Duché de Luxembourg

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Carto (2022). Carto Dataset [Dataset]. https://universe.roboflow.com/carto/carto

Carto Dataset

carto

carto-dataset

Explore at:
zipAvailable download formats
Dataset updated
Aug 13, 2022
Dataset authored and provided by
Carto
License

MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Variables measured
Letters
Description

Carto

## Overview

Carto is a dataset for classification tasks - it contains Letters annotations for 799 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [MIT license](https://creativecommons.org/licenses/MIT).
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