100+ datasets found
  1. f

    Data from: Introducing cultural schema into heritage tourism map design: the...

    • tandf.figshare.com
    docx
    Updated May 12, 2025
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    Juan Xiang; Qianqian Li; Jiangyue Zhang; Min Weng; Mengjun Kang; Shiliang Su (2025). Introducing cultural schema into heritage tourism map design: the case of ‘Suzhou Classical Gardens’ Narrative Map, China [Dataset]. http://doi.org/10.6084/m9.figshare.28920680.v1
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    docxAvailable download formats
    Dataset updated
    May 12, 2025
    Dataset provided by
    Taylor & Francis
    Authors
    Juan Xiang; Qianqian Li; Jiangyue Zhang; Min Weng; Mengjun Kang; Shiliang Su
    License

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

    Area covered
    China, Suzhou
    Description

    Heritage tourism has been booming all around the world during the recent past. However, current heritage tourism maps have been locked into the traditional cartographic paradigms in standard formats and are thus incapable of exhibiting the local cultures and the stories behind them. To address this issue, this paper introduces the cultural schema theory into narrative cartographic design and proposes a novel theoretical framework for making heritage tourism maps. We use a typical ‘Suzhou Classical Gardens’ Narrative Map to demonstrate the usefulness and practicability of the proposed theoretical framework. We finally summarize five cartographic design guidelines for making heritage tourism maps. This study is believed to shed fresh light on cartographic design research.

  2. c

    Map Pack Ranking Achievement

    • caseysseo.com
    Updated Jul 6, 2025
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    (2025). Map Pack Ranking Achievement [Dataset]. https://caseysseo.com/google-maps-vs-traditional-seo/
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    Dataset updated
    Jul 6, 2025
    Description

    1 Map Pack ranking for 'restaurant Old Colorado City' within 6 months

  3. f

    Data from: Global Landscapes: Teaching Globalization through Responsive...

    • tandf.figshare.com
    pdf
    Updated Jun 4, 2023
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    Robert Roth; Stephen Young; Chelsea Nestel; Carl Sack; Brian Davidson; Julia Janicki; Vanessa Knoppke-Wetzel; Fei Ma; Rashauna Mead; Caroline Rose; Guiming Zhang (2023). Global Landscapes: Teaching Globalization through Responsive Mobile Map Design [Dataset]. http://doi.org/10.6084/m9.figshare.5939149.v2
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    pdfAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Robert Roth; Stephen Young; Chelsea Nestel; Carl Sack; Brian Davidson; Julia Janicki; Vanessa Knoppke-Wetzel; Fei Ma; Rashauna Mead; Caroline Rose; Guiming Zhang
    License

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

    Description

    This article reports on the design and evaluation of Global Madison, a mobile map designed to support teaching and learning about globalization using Madison, Wisconsin, as a situated classroom. Our experience of place increasingly is mediated by mobile devices, opening new opportunities and challenges for research, industry, and education. Despite this rising popularity, few guidelines exist for creating and using mobile maps. Following tenets of user-centered design studies, we conducted two mixed-method evaluations of Global Madison to improve the tool and generate design insights that are potentially transferable to similar mobile mapping contexts: 244 students participated in an online survey after completing the tour and eighteen students were observed in the field. The evaluations generated new design considerations for mobile maps supporting situated learning, include: focus on critical issues that might leave students stranded, append location-based services with traditional mapping, enforce cognitive association between map and landscape, supply a consistent feed of information for new learners, encourage collaborative learning in the landscape, and promote student safety above all else.

  4. Electronic Cartography System Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Electronic Cartography System Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/electronic-cartography-system-market
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    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset provided by
    Authors
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Electronic Cartography System Market Outlook



    The global electronic cartography system market size was valued at approximately USD 6.5 billion in 2023 and is projected to reach around USD 10.5 billion by 2032, growing at a CAGR of 5.5% during the forecast period from 2024 to 2032. The primary growth driver for this market is the increasing demand for advanced navigation systems across various sectors, including marine, aviation, and defense. These sectors are increasingly relying on sophisticated cartographic technologies to enhance navigational accuracy, reduce human error, and increase operational efficiency. As digital transformation permeates the industry, the adoption of electronic cartography systems is set to rise significantly.



    One of the pivotal factors propelling the growth of the electronic cartography system market is the heightened emphasis on safety and compliance in navigation. As global maritime and aviation industries grapple with stringent safety regulations and standards, the adoption of advanced cartographic systems becomes indispensable. These systems offer precise and real-time data, aiding in the prevention of accidents and enhancing situational awareness. Moreover, the integration of artificial intelligence and machine learning in these systems carries the potential to revolutionize navigational techniques, making them more intuitive and reliable than ever before. This technological evolution is poised to drive the marketÂ’s expansion over the forecast period.



    The growing trend of digitalization across industries is another significant factor contributing to market growth. Both commercial and military applications are shifting towards electronic chart systems to replace traditional paper charts, resulting in improved efficiency and cost-effectiveness. The ease of updating and distributing digital charts ensures that users have the most current and accurate data, which is critical for making informed decisions in dynamic environments. Additionally, the expansion of transportation and logistics activities worldwide necessitates the deployment of robust navigation systems, further fueling demand for electronic cartography solutions. With the rise in smart infrastructure and IoT applications, the electronic cartography system market is witnessing new opportunities for growth and innovation.



    Moreover, advancements in satellite technologies have significantly enhanced the capabilities of electronic cartography systems, offering greater accuracy and coverage. The proliferation of satellite-based navigation services, along with improvements in geospatial data acquisition, supports the broader adoption of advanced cartographic solutions. These innovations enable precise mapping and tracking of movements across vast geographic areas, which is particularly crucial for sectors like defense and commercial shipping. As satellite technology continues to evolve, the electronic cartography system market is expected to benefit from increased precision and enhanced features, driving its growth trajectory in the coming years.



    Digital Cartography has emerged as a cornerstone in the evolution of navigation systems, transforming how data is visualized and interpreted across various sectors. This modern approach to mapping leverages digital technology to create dynamic and interactive maps that provide real-time updates and enhanced precision. By integrating digital cartography into navigation systems, users benefit from improved situational awareness and decision-making capabilities. This technology is particularly beneficial in environments where conditions change rapidly, such as in marine and aviation sectors, where accurate and timely information is crucial for safety and efficiency. As industries continue to embrace digital transformation, the role of digital cartography is expected to expand, offering new possibilities for innovation and operational excellence.



    Regionally, North America holds a significant share of the electronic cartography system market, driven by substantial investments in defense and aerospace technologies. The presence of numerous key industry players and high adoption rates of advanced tech solutions contribute to this region's prominence. Meanwhile, the Asia Pacific region is anticipated to register the highest growth rate over the forecast period, with a CAGR of around 6.8%. This surge can be attributed to the rapid expansion of the maritime industry, increased defense budgets, and the burgeoning aviation sector in countries such as China and India. Europe also plays a vital role in the

  5. e

    Data: Getting deep into things: Deep mapping in an ''uncharted' territory -...

    • b2find.eudat.eu
    Updated Oct 21, 2023
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    (2023). Data: Getting deep into things: Deep mapping in an ''uncharted' territory - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/24eb1e91-9ada-504f-9516-5abd34538bb8
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    Dataset updated
    Oct 21, 2023
    Description

    Areas in cities typically denoted as 'Vacant and Derelict Land', are frequently presented in policy documents as absent of meaning and awaiting development. However, visits to many of these sites offer evidence of abundant citizen activity occurring outside of planning policy. Dog walkers, DIY skatepark builders, pigeon fanciers and reminiscing former factory workers, for example, can all be found inscribing their own narratives, in palimpsest like fashion, upon these landscapes. This spatio-temporally bound and layered mix of contested meanings extends beyond representational capacity offered by traditional cartographic methods as employed in policy decision making. Such a failure to represent these ecologies of citizen-led practices often result in their erasure at the point of formal redevelopment. We explore how one alternative approach may respond to these challenges of representation through a case study project in Glasgow, Scotland. Deep mapping is an ethnographically informed, arts research practice, drawing Cifford Geertz's notion of 'thick description' into a visual-performative realm and seeking to extend beyond the thin map by creating multi-faceted and open-ended descriptions of place. As such, deep maps are not only investigations into place but of equal concern are the processes by which representations of place are generated. Implicit in this are questions about the role of the researcher as initiator, gatherer, archivist or artist and the intertwining between the place and the self. As a methodological approach that embraces multiplicity and favours the 'politicized, passionate, and partisan' over the totalising objectivity of traditional maps, deep mapping offers a potential to give voice to marginalised, micro-narratives existing in tension with one another and within dominant meta-narratives but also triggers new questions over inclusivity. This methodologically focussed chapter explores the ways in which an ethnographically informed, arts research practice may offer alternative insight into spaces of non-aligned narratives. The results from this investigation will offer new framings of spaces within the urban landscape conventionally represented as vacant or empty and generate perspectives on how art research methods may provide valuable investigative tools for decision makers working in such contexts.

  6. B

    Mapping Traditional Medicine Workshops

    • borealisdata.ca
    • search.dataone.org
    Updated Nov 28, 2023
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    Alisha Bains; Chasz Hodgson; Sheila Bikadi; Jason Min; Larry Leung (2023). Mapping Traditional Medicine Workshops [Dataset]. http://doi.org/10.5683/SP3/UQ9O5L
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 28, 2023
    Dataset provided by
    Borealis
    Authors
    Alisha Bains; Chasz Hodgson; Sheila Bikadi; Jason Min; Larry Leung
    License

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

    Description

    The herbologist and doula at the Community Health Centre for a BC First Nation currently offers workshops to the community on local traditional medicines and plants. Certain plants only grow during specific times of the year, making the window to offer workshops fairly short. This project was a collaboration between students from the Entry-to-Practice PharmD Program at the University of British Columbia and the First Nation to create a booklet outlining the workshops offered each season, corresponding with the availability of plants used in traditional medicines. The project members interviewed the herbologist to gather relevant information. A booklet was created to present the workshops offered by the herbologist and information on the plants’ availability by season and traditional uses.

  7. C

    Large scale local topographic cartography 1:2.000 - Comacchio - Edition 1978...

    • ckan.mobidatalab.eu
    Updated May 3, 2023
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    GeoDatiGovIt RNDT (2023). Large scale local topographic cartography 1:2.000 - Comacchio - Edition 1978 [Dataset]. https://ckan.mobidatalab.eu/dataset/large-scale-local-topographic-cartography-1-2-000-comacchio-edition-1978
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    Dataset updated
    May 3, 2023
    Dataset provided by
    GeoDatiGovIt RNDT
    Area covered
    Comacchio
    Description

    This is technical cartography created with traditional methods of aerial photography, today in fact considered outdated. The Gauss representation was used, in the National Geodetic System (international ellipsoid oriented towards Rome Monte Mario); each sheet shows the parameters with intervals of 1 dm graphic. The orientation and dimensions of the sheets are determined by local needs for the representation of the mapped territories (urbanized areas inserted in the smallest possible number of sheets and centered with respect to them). The cartography is built according to the rules contained in a special tender specification for the execution of the works which provides for the cartography at the scale 1:2,000 a maximum error in planimetry of 0.80 m, in height of 0.60 m and an equidistance for level curves of m 2.

  8. c

    Google Maps vs Traditional SEO ROI Study Data

    • caseysseo.com
    jsonld
    Updated Jul 6, 2025
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    Casey's SEO (2025). Google Maps vs Traditional SEO ROI Study Data [Dataset]. https://caseysseo.com/google-maps-vs-traditional-seo/
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    jsonldAvailable download formats
    Dataset updated
    Jul 6, 2025
    Dataset authored and provided by
    Casey's SEO
    Variables measured
    Conversion Rate Comparison, Google Maps ROI Performance, Implementation Cost Analysis, Timeline to Results Analysis, Traditional SEO ROI Performance
    Description

    Comprehensive dataset analyzing ROI performance comparison between Google Maps optimization and traditional SEO for Colorado Springs businesses.

  9. d

    Bedrock geologic map database for the Aztec 1-degree x 2-degree quadrangle,...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Oct 12, 2024
    + more versions
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    U.S. Geological Survey (2024). Bedrock geologic map database for the Aztec 1-degree x 2-degree quadrangle, northern New Mexico and southern Colorado [Dataset]. https://catalog.data.gov/dataset/bedrock-geologic-map-database-for-the-durango-1-degree-x-2-degree-quadrangle-southern-colo
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    Dataset updated
    Oct 12, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    New Mexico
    Description

    This data release presents geologic map data for the bedrock geology of the Aztec 1-degree by 2-degree quadrangle, New Mexico. Geologic mapping incorporates new interpretive contributions and compilation from published geologic map data sources primarily ranging from 1:24,000 to 1:50,000 scale. Much of the geology incorporated from published geologic maps is adjusted based on digital elevation model and natural-color image data sources to improve spatial resolution of the data. Spatial adjustments and new interpretations also eliminate mismatches at source map boundaries. This data set represents only the bedrock geology; deposits of unconsolidated, surficial materials that are typically, but not exclusively, Quaternary in age, are not included in this database. Bedrock in the context of this database includes all metamorphic, sedimentary, and igneous rocks regardless of age. Bedrock geology is continuous to the extent that map units and structures can be appropriately constrained, including throughout areas overlain by surficial deposits. Line features that are projected through areas overlain by surficial deposits are generally attributed with lower identity and existence confidence, larger locational confidence values, and a compilation method in the MethodID field indicating features were projected beneath cover (see Turner and others [2022] for a description of MethodID field). Map units represented in this database range from Paleoproterozic and Mesoproterozic metamorphic and intrusive rocks to Pliocene and Quaternary sedimentary and volcanic rocks. Map units and structures in this data set reflect multiple events that are significant at regional and continental scales including multiple Proterozoic accreted terranes, magmatic episodes, supracrustal depositional environments, and continental margin environments, Ancestral Rocky Mountains, Laramide orogeny, Southern Rocky Mountains volcanism, and Rio Grande rift in the Phanerozoic. Map units are organized within geologic provinces as described by the Seamless Integrated Geologic Mapping (SIGMa) (Turner and others, 2022) extension to the Geologic Map Schema (GeMS) (USGS, 2020). Geologic provinces are used to organize map units based on time-dependent, geologic events rather than geographic or rock type groupings that are typical of traditional geologic maps. The detail of geologic mapping is approximately 1:100,000-scale depending on the scale of published geologic maps and new mapping based on field observations or interpretation from basemap data. The database follows the schema and structure of SIGMa (Turner and others, 2022) that is an extension to GeMS (USGS, 2020). Turner, K.J., Workman, J.B., Colgan, J.P., Gilmer, A.K., Berry, M.E., Johnstone, S.A., Warrell, K.F., Dechesne, M., VanSistine, D.P., Thompson, R.A., Hudson, A.M., Zellman, K.L., Sweetkind, D., and Ruleman, C.A., 2022, The Seamless Integrated Geologic Mapping (SIGMa) extension to the Geologic Map Schema (GeMS): U.S. Geological Survey Scientific Investigations Report 2022–5115, 33 p., https://doi.org/ 10.3133/ sir20225115. U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema)-A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org/10.3133/tm11B10.

  10. D

    Mapping Drugs in Han Dynasty Excavated Texts

    • researchdata.ntu.edu.sg
    tsv, xlsm
    Updated Mar 14, 2023
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    DR-NTU (Data) (2023). Mapping Drugs in Han Dynasty Excavated Texts [Dataset]. http://doi.org/10.21979/N9/WLKQAG
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    tsv(191), xlsm(36911)Available download formats
    Dataset updated
    Mar 14, 2023
    Dataset provided by
    DR-NTU (Data)
    License

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

    Area covered
    Han dynasty
    Description

    Correlation of the drug names appearing in four Han Dynasty excavated text with the Historical GIS data for those drugs, as geo-located in the fifth-cenutry 本草經集注. These data forms the back bone for maps published in the article "Mapping the Bencao" in Asian Medicine, 2023 as well as for the interactive Tableau map, titled "Mapping Drugs in Han Dynasty Excavated Texts" https://public.tableau.com/app/profile/dr.michael.stanley.baker/viz/MappingDrugsinHanDynastyExcavatedTexts/Terrain

  11. d

    Data from: Geologic Map Index of Alaska

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Jul 5, 2023
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    Alaska Division of Geological & Geophysical Surveys (Point of Contact) (2023). Geologic Map Index of Alaska [Dataset]. https://catalog.data.gov/dataset/geologic-map-index-of-alaska1
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    Dataset updated
    Jul 5, 2023
    Dataset provided by
    Alaska Division of Geological & Geophysical Surveys (Point of Contact)
    Area covered
    Alaska
    Description

    The Geologic Map Index of Alaska (Map Index) is a GIS web feature service paired with an interactive web map application that provides access to an actively growing geographic index of geology-related maps of Alaska and adjacent areas. This online research tool provides the locations and outlines of most DGGS and U.S. Geological Survey (USGS) geologic maps of Alaska in a single, interactive web application. It allows searches of the map database by geographic area of interest, keywords, publishing agency, dates, and other criteria. The search results link DGGS's comprehensive, multi-agency publications database, where users can view and download publications for free. Map Index provides access to traditional geologic maps and sample location, geologic hazards, and geologic resources maps. In addition, DGGS plans to add outlines and data to the application for new and remaining geologic maps published by DGGS, USGS, U.S. Bureau of Mines, and U.S. Bureau of Land Management. Reports without maps can be accessed through DGGS's comprehensive publications database, .

  12. g

    DBTR

    • gimi9.com
    Updated Apr 14, 2016
    + more versions
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    (2016). DBTR [Dataset]. https://gimi9.com/dataset/eu_r_emiro-2016-04-14t110159
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    Dataset updated
    Apr 14, 2016
    Description

    Data Base Topographic means the base of reference built from the “traditional” contents of a technical map obtainable with the process of stereorestitution on a large-medium scale, such as to support the integration of “thematic” data specific to the various functions of the public administration, with the aim of ensuring that both the starting and the thematic data can then be used for information exchanges, for synthesis and for the representation of information at the various scales. the project of the Topographic Data Base proposes the definition of the contents and their organisation in such a way as to be able to automatically reproduce the traditional paper, as is the case with numerical cartography products, and to aggregate the constituent elements of numerical cartography into objects present in the territory and referable in all of their geometric components, such as a building, the road traffic area of a given toponymous road, a dam, the territory of a given municipality, etc.

  13. Data from: The mapping behind the movement: On recovering the critical...

    • library.ncge.org
    Updated Apr 26, 2021
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    NCGE (2021). The mapping behind the movement: On recovering the critical cartographies of the African American Freedom Struggle [Dataset]. https://library.ncge.org/documents/037bc3499009453186ad18cb6e4eec20
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    Dataset updated
    Apr 26, 2021
    Dataset provided by
    National Council for Geographic Educationhttp://www.ncge.org/
    Authors
    NCGE
    License

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

    Area covered
    United States
    Description

    Derek H. Alderman, Joshua F.J. Inwood, Ethan BottoneThe mapping behind the movement: On recovering the critical cartographies of the African American Freedom Struggle,Geoforum,Volume 120,2021,Pages 67-78,ISSN 0016-7185,https://doi.org/10.1016/j.geoforum.2021.01.022.(https://www.sciencedirect.com/science/article/pii/S0016718521000300)Abstract: Responding to recent work in critical cartographic studies and Black Geographies, the purpose of this paper is to offer a conceptual framework and a set of evocative cartographic engagements that can inform geography as it recovers the seldom discussed history of counter-mapping within the African American Freedom Struggle. Black resistant cartographies stretch what constitutes a map, the political work performed by maps, and the practices, spaces, and political-affective dimensions of mapping. We offer an extended illustration of the conventional and unconventional mapping behind USA anti-lynching campaigns of the late 19th and early 20th centuries, highlighting the knowledge production practices of the NAACP and the Tuskegee Institute’s Monroe Work, and the embodied counter-mapping of journalist/activist Ida B. Wells. Recognizing that civil rights struggles are long, always unfolding, and relationally tied over time and space, we link this look from the past to contemporary, ongoing resistant cartographical practices as scholars/activists continue to challenge racialized violence and advance transitional justice, including the noted memory-work of the Equal Justice Initiative. An understanding of African American traditions of counter-mapping is about more than simply inserting the Black experience into our dominant ideas about cartography or even resistant mapping. Black geographies has much to teach cartography and geographers about what people of color engaged in antiracist struggles define as geographic knowledge and mapping practices on their own terms—hopefully provoking a broader and more inclusive definition of the discipline itself.Keywords: African American; Anti-lynching; Black geographies; Civil rights; Counter-mapping; Critical cartography

  14. e

    Large scale local topographic cartography 1:1,000 — Ravenna — 1979 edition

    • data.europa.eu
    Updated Jan 1, 1982
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    Regione Emilia-Romagna (1982). Large scale local topographic cartography 1:1,000 — Ravenna — 1979 edition [Dataset]. https://data.europa.eu/data/datasets/r_emiro-2010-12-13t160925
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    Dataset updated
    Jan 1, 1982
    Dataset authored and provided by
    Regione Emilia-Romagna
    Area covered
    Ravenna
    Description

    These are technical cartography made using traditional methods typical of aerophotogrametry, now considered obsolete.The representation of Gauss, in the National Geodetic System (international ellipsoid oriented to Rome Monte Mario) has been used; the orientation and size of the sheets are determined by local requirements for the representation of the areas mapled (urbanised areas included in the least possible number of sheets and centered with respect to them).The cartography is carried out in accordance with the rules contained in a special tender specification for the execution of the works which provides for a maximum error in the plan of 0.40 m, at 0.40 m altitude and an equal distance for the level curves of m 1. A tolerance of m 0.60 shall be fixed for the dimensions of the roofs of buildings.

  15. SynthMap+ (Traditional Chinese) Synthetic Train Data for ICDAR'25 MapText...

    • zenodo.org
    json, zip
    Updated Dec 18, 2024
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    Yijun Lin; Yijun Lin; Yao-Yi Chiang; Yao-Yi Chiang (2024). SynthMap+ (Traditional Chinese) Synthetic Train Data for ICDAR'25 MapText Competition [Dataset]. http://doi.org/10.5281/zenodo.14502179
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    json, zipAvailable download formats
    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Yijun Lin; Yijun Lin; Yao-Yi Chiang; Yao-Yi Chiang
    License

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

    Description

    Dataset of synthetic map images in traditional Chinese for the ICDAR'25 Competition on Historical Map Text Detection, Recognition, and Linking.

    Annotations and images follow the format described at the competition website.

    Please refer to [1] for the generation process and usage. We extend [1] to place text labels in horizontal and vertical writing directions.

    Train
    Annotationstc25synth_train.json
    Imagestrain.zip
    Filestc25synth/train/*.jpg
    Tiles45,000
    Map Sheets-
    Words296,348
    Label Groups-
    Illegible Words0
    Truncated Words0
    Valid Words296,348

    [1] Lin, Y., & Chiang, Y. -Y. (2024). Hyper-local deformable transformers for text spotting on historical maps. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 5387-5397).

  16. a

    Maya Forest Map-Copy

    • marc-ucsb.opendata.arcgis.com
    • spatialdiscovery-ucsb.opendata.arcgis.com
    • +3more
    Updated Nov 16, 2018
    + more versions
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    University of California, Santa Barbara (2018). Maya Forest Map-Copy [Dataset]. https://marc-ucsb.opendata.arcgis.com/maps/72f658950d144b2b99bdd41a4bb0a7fc
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    Dataset updated
    Nov 16, 2018
    Dataset authored and provided by
    University of California, Santa Barbara
    Area covered
    Description

    The El Pilar Project has been conducting research at El Pilar, Belize and Guatemala since 1993, and was founded on a base of survey work that goes back to 1983. This unusual archaeological program recognizes the present environment as a part of the ancient Maya past. Our mission is the preservation and conservation of endangered resources through local and international education. Addressing tensions between culture and nature, we use the past as a reference to build a responsible future. Weaving together traditional knowledge and practice with scientific inquiry and interpretation, we promote a deeper awareness of heritage through local partnership.

    The University of California Santa Barbara (UCSB) Maya Forest GIS is an essential tool to organize and use the numerous geographic resources involved in our studies, and provide reliable datasets for the project.

  17. D

    Digital Map Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 12, 2025
    + more versions
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    Data Insights Market (2025). Digital Map Market Report [Dataset]. https://www.datainsightsmarket.com/reports/digital-map-market-12805
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 12, 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 digital map market, currently valued at $25.55 billion in 2025, is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 13.39% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing adoption of location-based services (LBS) across diverse sectors like automotive, logistics, and smart city initiatives is a primary catalyst. Furthermore, advancements in technologies such as AI, machine learning, and high-resolution satellite imagery are enabling the creation of more accurate, detailed, and feature-rich digital maps. The shift towards cloud-based deployment models offers scalability and cost-effectiveness, further accelerating market growth. While data privacy concerns and the high initial investment costs for sophisticated mapping technologies present some challenges, the overall market outlook remains overwhelmingly positive. The competitive landscape is dynamic, with established players like Google, TomTom, and ESRI vying for market share alongside innovative startups offering specialized solutions. The segmentation of the market by solution (software and services), deployment (on-premise and cloud), and industry reveals significant opportunities for growth in sectors like automotive navigation, autonomous vehicle development, and precision agriculture, where real-time, accurate mapping data is crucial. The Asia-Pacific region, driven by rapid urbanization and technological advancements in countries like China and India, is expected to witness particularly strong growth. The market's future hinges on continuous innovation. We anticipate a rise in the demand for 3D maps, real-time updates, and integration with other technologies like the Internet of Things (IoT) and augmented reality (AR). Companies are focusing on enhancing the accuracy and detail of their maps, incorporating real-time traffic data, and developing tailored solutions for specific industry needs. The increasing adoption of 5G technology promises to further boost the market by enabling faster data transmission and real-time updates crucial for applications like autonomous driving and drone delivery. The development of high-precision mapping solutions catering to specialized sectors like infrastructure management and disaster response will also fuel future growth. Ultimately, the digital map market is poised for continued expansion, driven by technological advancements and increased reliance on location-based services across a wide spectrum of industries. Recent developments include: December 2022 - The Linux Foundation has partnered with some of the biggest technology companies in the world to build interoperable and open map data in what is an apparent move t. The Overture Maps Foundation, as the new effort is called, is officially hosted by the Linux Foundation. The ultimate aim of the Overture Maps Foundation is to power new map products through openly available datasets that can be used and reused across applications and businesses, with each member throwing their data and resources into the mix., July 27, 2022 - Google declared the launch of its Street View experience in India in collaboration with Genesys International, an advanced mapping solutions company, and Tech Mahindra, a provider of digital transformation, consulting, and business re-engineering solutions and services. Google, Tech Mahindra, and Genesys International also plan to extend this to more than around 50 cities by the end of the year 2022.. Key drivers for this market are: Growth in Application for Advanced Navigation System in Automotive Industry, Surge in Demand for Geographic Information System (GIS); Increased Adoption of Connected Devices and Internet. Potential restraints include: Complexity in Integration of Traditional Maps with Modern GIS System. Notable trends are: Surge in Demand for GIS and GNSS to Influence the Adoption of Digital Map Technology.

  18. M

    Gridded Soil Survey Geographic Database (gSSURGO), Minnesota

    • gisdata.mn.gov
    • datadiscoverystudio.org
    • +1more
    html, jpeg
    Updated Nov 22, 2024
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    Geospatial Information Office (2024). Gridded Soil Survey Geographic Database (gSSURGO), Minnesota [Dataset]. https://gisdata.mn.gov/dataset/geos-gssurgo
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    html, jpegAvailable download formats
    Dataset updated
    Nov 22, 2024
    Dataset provided by
    Geospatial Information Office
    Area covered
    Minnesota
    Description

    The gSSURGO dataset provides detailed soil survey mapping in raster format with ready-to-map attributes organized in statewide tiles for desktop GIS. gSSURGO is derived from the official Soil Survey Geographic (SSURGO) Database. SSURGO generally has the most detailed level of soil geographic data developed by the National Cooperative Soil Survey (NCSS) in accordance with NCSS mapping standards. The tabular data represent the soil attributes and are derived from properties and characteristics stored in the National Soil Information System (NASIS).

    The gSSURGO data were prepared by merging the traditional vector-based SSURGO digital map data and tabular data into statewide extents, adding a statewide gridded map layer derived from the vector layer, and adding a new value-added look up table (valu) containing ready-to-map attributes. The gridded map layer is in an ArcGIS file geodatabase in raster format, thus it has the capacity to store significantly more data and greater spatial extents than the traditional SSURGO product. The raster map data have a 10-meter cell size that approximates the vector polygons in an Albers Equal Area projection. Each cell (and polygon) is linked to a map unit identifier called the map unit key. A unique map unit key is used to link the raster cells and polygons to attribute tables.

    For more information, see the gSSURGO webpage: https://www.nrcs.usda.gov/resources/data-and-reports/description-of-gridded-soil-survey-geographic-gssurgo-database

  19. e

    Topographic Map 1:5,000. Year 2007-2008

    • data.europa.eu
    Updated Jan 1, 2016
    + more versions
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    (2016). Topographic Map 1:5,000. Year 2007-2008 [Dataset]. https://data.europa.eu/data/datasets/spagrafcan_084mt052008_20160101?locale=en
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    Dataset updated
    Jan 1, 2016
    Description

    Topographic Map 1:5,000. Made from two high flights (analog flight 1:18,000 and digital flight GSD 35 cm/pixel). Reference System ITRF93, Elipsoide WGS84, REGCAN95 Geodesic Network (version 2001), UTM Husso 28 projection system and altitudes referring to the average sea level determined on each island. Storage format: DGN v8, SHP. The series presents the traditional content of topographic cartography. Physical geography: relief, hydrography and land uses. Human geography: population centers and constructions, natural resources and industry, communication routes, administrative divisions and geodesic supports. Toponymy and labeling. Dates: High flight (084, 1:18,000 and GSD 35 cm/pixel). 14/11/2007 to 19/01/2008

  20. e

    Topographic Map 1:1,000. Year 2008

    • data.europa.eu
    Updated Jan 1, 2016
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    (2016). Topographic Map 1:1,000. Year 2008 [Dataset]. https://data.europa.eu/data/datasets/spagrafcan_111mt012008_20160101
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    Dataset updated
    Jan 1, 2016
    Description

    Topographic Map 1:1,000. Geographical area where it is located: Canary Islands. Flight year 2008. Reference System ITRF93, Elipsoide WGS84, REGCAN95 Geodesic Network (version 2001), UTM Husso 28 projection system and altitudes referring to the average sea level determined on each island. Storage format: DGN v8 and SHP. Level curves every 1 meter and director level curves every 5 meters. The series presents the traditional content of topographic cartography. Physical geography: relief, hydrography and land uses. Human geography: population centers and constructions, natural resources and industry, communication routes, administrative divisions and geodesic supports. Toponymy and labeling.

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Juan Xiang; Qianqian Li; Jiangyue Zhang; Min Weng; Mengjun Kang; Shiliang Su (2025). Introducing cultural schema into heritage tourism map design: the case of ‘Suzhou Classical Gardens’ Narrative Map, China [Dataset]. http://doi.org/10.6084/m9.figshare.28920680.v1

Data from: Introducing cultural schema into heritage tourism map design: the case of ‘Suzhou Classical Gardens’ Narrative Map, China

Related Article
Explore at:
docxAvailable download formats
Dataset updated
May 12, 2025
Dataset provided by
Taylor & Francis
Authors
Juan Xiang; Qianqian Li; Jiangyue Zhang; Min Weng; Mengjun Kang; Shiliang Su
License

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

Area covered
China, Suzhou
Description

Heritage tourism has been booming all around the world during the recent past. However, current heritage tourism maps have been locked into the traditional cartographic paradigms in standard formats and are thus incapable of exhibiting the local cultures and the stories behind them. To address this issue, this paper introduces the cultural schema theory into narrative cartographic design and proposes a novel theoretical framework for making heritage tourism maps. We use a typical ‘Suzhou Classical Gardens’ Narrative Map to demonstrate the usefulness and practicability of the proposed theoretical framework. We finally summarize five cartographic design guidelines for making heritage tourism maps. This study is believed to shed fresh light on cartographic design research.

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