100+ datasets found
  1. e

    Japan - Population density - Dataset - ENERGYDATA.INFO

    • energydata.info
    Updated Jul 23, 2024
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    (2024). Japan - Population density - Dataset - ENERGYDATA.INFO [Dataset]. https://energydata.info/dataset/japan--population-density-2015
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    Dataset updated
    Jul 23, 2024
    License

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

    Area covered
    Japan
    Description

    Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

  2. J

    Japan Geospatial Analytics Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated May 2, 2025
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    Market Report Analytics (2025). Japan Geospatial Analytics Market Report [Dataset]. https://www.marketreportanalytics.com/reports/japan-geospatial-analytics-market-87885
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    ppt, pdf, docAvailable download formats
    Dataset updated
    May 2, 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
    Japan
    Variables measured
    Market Size
    Description

    The Japan Geospatial Analytics market is poised for significant growth, exhibiting a Compound Annual Growth Rate (CAGR) of 13.95% from 2019 to 2033. With a market size of $1.53 billion in 2025, the sector is driven by increasing adoption of advanced technologies like AI and machine learning within various end-user verticals. Specifically, the robust growth is fueled by expanding applications in the agricultural sector for precision farming, optimizing resource allocation, and improving crop yields. The utility and communication sectors leverage geospatial analytics for network planning, infrastructure management, and disaster response. The defense and intelligence sectors utilize this technology for surveillance, mapping, and strategic decision-making, further stimulating market growth. Government initiatives promoting smart city development and digitalization contribute significantly, along with increasing adoption within mining, transportation, and real estate sectors for enhanced efficiency and risk mitigation. Despite the positive outlook, the market faces certain challenges. Data security concerns and the need for skilled professionals to manage and interpret complex geospatial data represent key restraints. However, ongoing advancements in technology, coupled with increasing government investment in infrastructure projects and digital transformation, are expected to mitigate these challenges and propel continued market expansion throughout the forecast period. The market segmentation reveals robust growth across diverse types, including surface analysis, network analysis, and geovisualization, each catering to specific needs and applications within the aforementioned end-user verticals. Major players like Esri, Hexagon AB, and Trimble are actively shaping the market landscape through continuous innovation and strategic partnerships. The rising demand for location intelligence and the development of sophisticated analytical tools further suggest the Japan Geospatial Analytics market will maintain its upward trajectory in the coming years. Recent developments include: April 2024: Microsoft announced a significant investment of USD 2.9 billion over the next two years to enhance its hyperscale cloud computing and AI infrastructure in Japan. The company will also expand its digital skilling programs to provide AI training to over 3 million individuals within the next three years., May 2024: The European Union and Japan began their Digital Partnership, reviewing the progress made since the first Digital Partnership Council in 2023. The partners agreed on new deliverables to enhance cooperation on critical digital technologies. These include artificial intelligence (AI), 5G to 6G advancements, semiconductors, high-performance computing (HPC), quantum technology, submarine cables, eID, and cybersecurity., *These technological advancements are poised to drive the evolution of geospatial analytics tools and technologies.. Key drivers for this market are: Increase In Adoption of Smart City Development, Introduction of 5G to Boost Market Growth. Potential restraints include: Increase In Adoption of Smart City Development, Introduction of 5G to Boost Market Growth. Notable trends are: Disaster Risk Reduction and Management.

  3. H

    Developing Historical Geographic Information Systems for Japan

    • dataverse.harvard.edu
    Updated Mar 2, 2017
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    Lex Berman; Jian Zhang (2017). Developing Historical Geographic Information Systems for Japan [Dataset]. http://doi.org/10.7910/DVN/MZANN5
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 2, 2017
    Dataset provided by
    Harvard Dataverse
    Authors
    Lex Berman; Jian Zhang
    License

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

    Area covered
    Japan
    Description

    The historical GIS layers for the Tokugawa Period (circa 1664 and 1820) were developed for presentation at CEAL, Japanese Librarians Meeting, 2004. This paper will briefly outline existing examples of Japan Historical GIS, the methodology used to develop our demonstration GIS, and the means of searching the data online.

  4. i

    Japan Geographic Information System (GIS) Market Report by Component...

    • imarcgroup.com
    pdf,excel,csv,ppt
    Updated Mar 8, 2021
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    IMARC Group (2021). Japan Geographic Information System (GIS) Market Report by Component (Hardware, Software, Services), Function (Mapping, Surveying, Telematics and Navigation, Location-Based Services), Device (Desktop, Mobile), End Use Industry (Agriculture, Utilities, Mining, Construction, Transportation, Oil and Gas, and Others), and Region 2025-2033 [Dataset]. https://www.imarcgroup.com/japan-geographic-information-system-market
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Mar 8, 2021
    Dataset authored and provided by
    IMARC Group
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global, Japan
    Description

    The Japan geographic information system (GIS) market size reached USD 360.9 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 765.8 Million by 2033, exhibiting a growth rate (CAGR) of 8.7% during 2025-2033.

    Report Attribute
    Key Statistics
    Base Year
    2024
    Forecast Years
    2025-2033
    Historical Years
    2019-2024
    Market Size in 2024
    USD 360.9 Million
    Market Forecast in 2033
    USD 765.8 Million
    Market Growth Rate 2025-20338.7%

    IMARC Group provides an analysis of the key trends in each segment of the Japan geographic information system (GIS) market report, along with forecasts at the regional and country levels from 2025-2033. Our report has categorized the market based on component, function, device and end use industry.

  5. a

    JAPANESE EMPIRE-POLITICAL

    • japanese-old-maps-online-rstgis.hub.arcgis.com
    Updated Mar 27, 2021
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    blewis_Rstgis (2021). JAPANESE EMPIRE-POLITICAL [Dataset]. https://japanese-old-maps-online-rstgis.hub.arcgis.com/items/c3d5d3e9614549aa8369299c1d1c5f1e
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    Dataset updated
    Mar 27, 2021
    Dataset authored and provided by
    blewis_Rstgis
    Area covered
    Description

    Owned by 立命館大学アート・リサーチセンター 【成立・出版年】

  6. Japan Geospatial Analytics Size, Trends, Share, Growth & Research Report...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jan 28, 2025
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    Mordor Intelligence (2025). Japan Geospatial Analytics Size, Trends, Share, Growth & Research Report 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/japan-geospatial-analytics-market
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

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

    Time period covered
    2019 - 2030
    Area covered
    Japan
    Description

    The Japan Geospatial Analytics Market Report is Segmented by Analytics Type (Surface Analysis, Network Analysis, and More), Deployment Model (On-Premise, Cloud-Based, and Hybrid), Technology (GIS, Remote Sensing, GNSS/GPS, Lidar and 3-D Mapping, and More), End-User Vertical (Agriculture, Utility and Communication, Defense and Intelligence, Government, and More). The Market Forecasts are Provided in Terms of Value (USD).

  7. Prefecture

    • smart-forestry-gis-ej.hub.arcgis.com
    Updated May 1, 2018
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    Esri (2018). Prefecture [Dataset]. https://smart-forestry-gis-ej.hub.arcgis.com/maps/esri::prefecture-3
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    Dataset updated
    May 1, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    平成 27 年国勢調査の都道府県の境界です。各境界には一意の ID("リンク コード")、名称、面積(平方 km)などが含まれています。このレイヤーは ArcGIS Online での可視化と解析のどちらの用途にもご利用いただけます。また、ArcGIS Online のデータへの情報付加機能を使って、ESRIジャパンが提供するさまざまな統計指標をレイヤーに付加することも可能です。

    平成 27 年国勢調査 集計単位(2015 年 10 月 1 日時点)

    • 都道府県 (47)

    • 市区町村 (1,902)

    • 町丁・字等 (219,100)

    ソース:総務省統計局 e-Stat 平成 27 年国勢調査(小地域)

    This layer shows prefecture boundaries of Japan derived from the 2015 Population Census. These boundaries are formed by the aggregation of the municipalities (Shi/Ku/Machi/Mura). Each boundary includes unique identifier, prefecture name and area (square kilometers). This layer is suitable for both visualization and analysis in ArcGIS Online. It can be enhanced with additional attributes provided in the Advanced Demographics dataset from Esri Japan using data enrichment tools in ArcGIS Online.

    Geographic Levels for the 2015 Population Census of Japan (as of October 1, 2015):

    • Prefecture (47)

    • Municipality (1,902)

    • Block (219,100)

    Source: Statistics Bureau (Ministry of Internal Affairs and Communications), e-Stat, 2015 Population Census

  8. d

    Japan Tokugawa GIS

    • search.dataone.org
    Updated Nov 21, 2023
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    Berman, Lex (2023). Japan Tokugawa GIS [Dataset]. http://doi.org/10.7910/DVN/2CVTR0
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Berman, Lex
    Description

    Base GIS layers of Kuni, Doo, and Daimyo for Tokugawa Japan, based primarily on maps in Nihonshi nembyo chizu. Tokyo: Yoshikawa kobunkan, 1991.

  9. J

    Japan Satellite Imagery Services Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated May 1, 2025
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    Market Report Analytics (2025). Japan Satellite Imagery Services Market Report [Dataset]. https://www.marketreportanalytics.com/reports/japan-satellite-imagery-services-market-87650
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    pdf, ppt, docAvailable download formats
    Dataset updated
    May 1, 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
    Japan
    Variables measured
    Market Size
    Description

    The Japan Satellite Imagery Services market is experiencing robust growth, projected to reach ¥357.28 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 15.25% from 2025 to 2033. This expansion is driven by several key factors. Increased government investment in infrastructure projects, particularly in construction and transportation, fuels demand for high-resolution satellite imagery for planning and monitoring. Furthermore, the rising adoption of precision agriculture techniques in the forestry and agriculture sectors necessitates the utilization of satellite data for yield optimization and resource management. The burgeoning need for enhanced surveillance and security measures, particularly in disaster management and national defense, further contributes to market growth. Technological advancements, such as improved sensor technology and increased data processing capabilities, are also significantly impacting the market’s trajectory. Leading players like Airbus SE, Mitsubishi Electric, and Maxar Technologies are actively contributing to this growth through innovative solutions and partnerships with government agencies and private sector companies. The market segmentation reveals significant opportunities across diverse applications. Geospatial data acquisition and mapping remain a dominant segment, leveraging satellite imagery for detailed geographic information systems (GIS) applications. Natural resource management, including environmental monitoring and deforestation tracking, presents another substantial area for growth. While precise market share data for individual segments isn't provided, it's reasonable to infer that the government sector will hold a substantial market share due to its significant investment in infrastructure, defense, and disaster management initiatives. The private sector, particularly construction, transportation, and logistics, will also contribute significantly to market growth. The forecast period (2025-2033) anticipates continued expansion driven by the factors mentioned above, with particular emphasis on technological advancements making satellite imagery more accessible and affordable for various user groups. The market's future trajectory is influenced by continued technological development, government policy, and increased private sector adoption. Recent developments include: January 2023: Axelspace announced that the company signed an agreement with New Space Intelligence which is a Japanese satellite imagery analysis service provider company. With this partnership, both companies will work together to promote the expansion of satellite data utilization by developing new applications using satellite imagery., November 2022: Japan Space Imaging Corporation signed an agreement with Satellite Vu in order to launch a unique constellation of satellites to deliver the highest resolution thermal data from space. The company will provide its customer and partners with preferred access to Satellite Vu's imagery, products, and services.. Key drivers for this market are: Infrastructural Development in Japan, Increasing Requirement for Mapping and Navigation System. Potential restraints include: Infrastructural Development in Japan, Increasing Requirement for Mapping and Navigation System. Notable trends are: Infrastructural Development in Japan.

  10. Dataset for "Geospatial analysis of toponyms in geotagged social media...

    • zenodo.org
    zip
    Updated Oct 1, 2024
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    Takayuki Hiraoka; Takayuki Hiraoka; Takashi Kirimura; Takashi Kirimura; Naoya Fujiwara; Naoya Fujiwara (2024). Dataset for "Geospatial analysis of toponyms in geotagged social media posts" [Dataset]. http://doi.org/10.5281/zenodo.13860969
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    zipAvailable download formats
    Dataset updated
    Oct 1, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Takayuki Hiraoka; Takayuki Hiraoka; Takashi Kirimura; Takashi Kirimura; Naoya Fujiwara; Naoya Fujiwara
    License

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

    Description

    Geotagged Twitter posts dataset

    Dataset used for the research presented in the following paper: Takayuki Hiraoka, Takashi Kirimura, Naoya Fujiwara (2024) "Geospatial analysis of toponyms in geo-tagged social media posts".

    We collected georeferenced Twitter posts tagged to coordinates inside the bounding box of Japan between 2012-2018. The present dataset represents the spatial distributions of all geotagged posts as well as posts containing in the text each of 24 domestic toponyms, 12 common nouns, and 6 foreign toponyms. The code used to analyze the data is available on GitHub.

    Data description

    • selected_geotagged_tweet_data/: Number of geotagged twitter posts in each grid cell. Each csv file under this directory associates each grid cell (spanning 30 seconds of latitude and 45 secoonds of longitude, which is approximately a 1km x 1km square, specified by an 8 digit code m3code) with the number of geotagged tweets tagged to the coordinates inside that cell (tweetcount). file_names.json relates each of the toponyms studied in this work to the corresponding datafile (all denotes the full data).
    • population/population_center_2020.xlsx: Center of population of each municipality based on the 2020 census. Derived from data published by the Statistics Bureau of Japan on their website (Japanese)
    • population/census2015mesh3_totalpop_setai.csv: Resident population in each grid cell based on the 2015 census. Derived from data published by the Statistics Bureau of Japan on e-stat (Japanese)
    • population/economiccensus2016mesh3_jigyosyo_jugyosya.csv: Employed population in each grid cell based on the 2016 Economic Census. Derived from data published by the Statistics Bureau of Japan on e-stat (Japanese)
    • japan_MetropolitanEmploymentArea2015map/: Shape file for the boundaries of Metropolitan Employment Areas (MEA) in Japan. See this website for details of MEA.
    • ward_shapefiles/: Shape files for the boundaries of wards in large cities, published by the Statistics Bureau of Japan on e-stat
  11. J

    Japan Satellite Imagery Services Market Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Jul 20, 2025
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    Archive Market Research (2025). Japan Satellite Imagery Services Market Report [Dataset]. https://www.archivemarketresearch.com/reports/japan-satellite-imagery-services-market-869882
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Jul 20, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

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

    The Japan satellite imagery services market is experiencing robust growth, projected to reach $357.28 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 15.25% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing adoption of satellite imagery across various sectors, including agriculture, urban planning, disaster management, and environmental monitoring, is a significant factor. Government initiatives promoting technological advancements and investment in space technology are also contributing to market growth. Furthermore, the rising demand for high-resolution imagery and advanced analytical capabilities is driving innovation and expanding market opportunities. While specific restraints are not explicitly stated, potential challenges could include regulatory hurdles, high initial investment costs for satellite technology, and data security concerns. The market is segmented by application (e.g., defense, agriculture, mapping), resolution, and data type, creating diverse opportunities for various players. Key companies like L3Harris Technologies Inc., Airbus SE, and JAXA are actively contributing to the market's development through their technology advancements and service offerings. The forecast period of 2025-2033 presents significant potential for growth. This sustained expansion is expected due to the continuous technological advancements in satellite technology, enabling higher resolution imagery and more sophisticated analytical tools. Furthermore, the Japanese government's ongoing investment in infrastructure and technology is likely to further stimulate market growth. The increasing awareness of the benefits of satellite imagery across diverse sectors, coupled with the rise of data analytics and AI applications in image processing, will significantly drive demand. The market's competitive landscape features both international players and domestic companies, signifying a healthy mix of technological capabilities and local market expertise. This will contribute to further innovation and market expansion over the forecast period. Key drivers for this market are: Infrastructural Development in Japan, Increasing Requirement for Mapping and Navigation System. Potential restraints include: Regulatory and Legal Challenges. Notable trends are: Infrastructural Development in Japan.

  12. s

    Japan 100m Urban change

    • eprints.soton.ac.uk
    Updated May 5, 2023
    + more versions
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    WorldPop, (2023). Japan 100m Urban change [Dataset]. http://doi.org/10.5258/SOTON/WP00119
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    Dataset updated
    May 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    WorldPop,
    Area covered
    Japan
    Description

    DATASET: Alpha version 2000 and 2010 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and MODIS-derived urban extent change built in. REGION: Asia SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described on the website and in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM00urbchg.tif = Vietnam (VNM) population count map for 2000 (00) adjusted to match UN national estimates and incorporating urban extent and urban population estimates for 2000. DATE OF PRODUCTION: July 2013 Dataset construction details and input data are provided here: www.asiapop.org and here: http://www.plosone.org/article/info:doi/10.1371/journal.pone.0055882

  13. s

    Japan 100m Population

    • eprints.soton.ac.uk
    Updated May 5, 2023
    + more versions
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    WorldPop, (2023). Japan 100m Population [Dataset]. http://doi.org/10.5258/SOTON/WP00118
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    Dataset updated
    May 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    WorldPop,
    Area covered
    Japan
    Description

    DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Asia SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM_popmap10adj_v2.tif = Vietnam (VNM) population count map for 2010 (popmap10) adjusted to match UN national estimates (adj), version 2 (v2). DATE OF PRODUCTION: January 2013

  14. m

    Japan Gis In Telecom Sector Market Industry Size, Share & Growth Analysis...

    • marketresearchintellect.com
    Updated Jul 6, 2025
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    Market Research Intellect (2025). Japan Gis In Telecom Sector Market Industry Size, Share & Growth Analysis 2033 [Dataset]. https://www.marketresearchintellect.com/product/japan-gis-in-telecom-sector-market-size-forecast/
    Explore at:
    Dataset updated
    Jul 6, 2025
    Dataset authored and provided by
    Market Research Intellect
    License

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

    Area covered
    Global, Japan
    Description

    Explore Market Research Intellect's report_name, valued at current_value in 2024, with a projected market growth to forecast_value by 2033, and a CAGR of cagr_value from 2026 to 2033.

  15. H

    Derived Hydrography of Japan

    • hydroshare.org
    • beta.hydroshare.org
    • +1more
    zip
    Updated Jun 29, 2020
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    Brigham Young University (2020). Derived Hydrography of Japan [Dataset]. http://doi.org/10.4211/hs.df5f3e52c51b419d8ee143b919a449b3
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    zip(56.7 MB)Available download formats
    Dataset updated
    Jun 29, 2020
    Dataset provided by
    HydroShare
    Authors
    Brigham Young University
    License

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

    Area covered
    Description

    This resource includes three hydrographic geospatial datasets for Japan including: Rivers, Watersheds, and Basin area. These datasets were developed at Brigham Young University by using standard terrain analysis tool in ArcGIS to extract features from digital elevation model data provided by Esri. The datasets were created for the purpose of supporting GEOGLOWS (http://www.geoglows.org) forecasting using ECMWF (https://www.ecmwf.int) ensemble weather/hydrologic model and the RAPID river routing model (http://rapid-hub.org). These datasets are provided free of charge for use for any purpose. If you use these data, please reference this HydroShare resource using the information provided in "How to Cite" at the bottom of this HydroShare landing page.

  16. Japan Location-based Services Market Size By Technology (GPS, Assisted GPS),...

    • verifiedmarketresearch.com
    pdf,excel,csv,ppt
    Updated Jun 15, 2025
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    Verified Market Research (2025). Japan Location-based Services Market Size By Technology (GPS, Assisted GPS), By Location Type (Outdoor, Indoor), By Application (GIS and Mapping, Navigation and Tracking), By End-User (Transportation & Logistics, Manufacturing), By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/japan-locationbased-services-market/
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2026 - 2032
    Area covered
    Europe, Japan
    Description

    Japan Location-based Services Market size was valued at USD 25.00 Billion in 2024 and is projected to reach USD 48.02 Billion by 2032, growing at a CAGR of 8.5% from 2026 to 2032. Key Market Drivers:Rising Demand for Real-Time Navigation Solutions: The Japan location-based services (LBS) market is rising due to increasing demand for real-time navigation solutions in urban and rural areas. With Japan’s aging population and growing tourism sector, precise location tracking has become essential. According to the Ministry of Land, Infrastructure, Transport and Tourism (2023), over 75% of smartphone users in Japan rely on navigation apps daily. Key players like Toyota’s Mobility Service Platform and LINE Yahoo! have introduced AI-powered route optimization, enhancing user experience. Recent updates from Sony’s IoT division highlight advancements in pedestrian navigation for crowded cities like Tokyo.Growing Adoption of Location-Based Advertising: The market is growing as businesses leverage geofencing and proximity marketing to engage consumers. Retailers and food chains are increasingly using LBS to send personalized promotions, driving foot traffic. A 2024 report by the Ministry of Internal Affairs and Communications revealed that location-based ad spending in Japan surged by 30% YoY. Companies like SoftBank and Rakuten are integrating AR-based ads, while NTT Docomo has partnered with local SMEs for hyper-local campaigns. Recent news from Panasonic highlights trials of beacon technology in Osaka’s shopping districts.

  17. f

    Data from: Object-Based Image Analysis for Detection of Japanese Knotweed...

    • figshare.com
    pdf
    Updated Dec 20, 2016
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    Daniel Jones; Stephen Pike; Malcolm Thomas; Denis Murphy (2016). Object-Based Image Analysis for Detection of Japanese Knotweed s.l. taxa (Polygonaceae) in Wales (UK) [Dataset]. http://doi.org/10.6084/m9.figshare.4483463.v1
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    pdfAvailable download formats
    Dataset updated
    Dec 20, 2016
    Dataset provided by
    figshare
    Authors
    Daniel Jones; Stephen Pike; Malcolm Thomas; Denis Murphy
    License

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

    Area covered
    Wales, United Kingdom
    Description

    Japanese Knotweed s.l. taxa are amongst the most aggressive vascular plant Invasive Alien Species (IAS) in the world. These taxa form dense, suppressive monocultures and are persistent, pervasive invaders throughout the more economically developed countries (MEDCs) of the world. The current paper utilises the Object-Based Image Analysis (OBIA) approach of Definiens Imaging Developer software, in combination with very high spatial resolution (VHSR) colour infra-red (CIR) and visible-band (RGB) aerial photography in order to detect Japanese Knotweed s.l. taxa in Wales (UK). An algorithm was created using Definiens in order to detect these taxa, using variables found to effectively distinguish them from landscape and vegetation features. The results of the detection algorithm were accurate, as confirmed by field validation and desk-based studies. Further, these results may be incorporated into Geographical Information Systems (GIS) research as they are readily transferable as vector polygons (shapefiles). The successful detection results developed within the Definiens software should enable greater management and control efficacy. Further to this, the basic principles of the detection process could enable detection of these taxa worldwide, given the (relatively) limited technical requirements necessary to conduct further analyses.

  18. a

    Japanese-American internment

    • geoinquiries-education.hub.arcgis.com
    Updated Jan 13, 2022
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    Esri GIS Education (2022). Japanese-American internment [Dataset]. https://geoinquiries-education.hub.arcgis.com/documents/c1ee85384b2a4a76bab759599d561fe7
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    Dataset updated
    Jan 13, 2022
    Dataset authored and provided by
    Esri GIS Education
    Description

    ResourcesMapTeacher guide Student worksheetGet startedOpen the map.Use the teacher guide to explore the map with your class or have students work through it on their own with the worksheet.New to GeoInquiriesTM? See Getting to Know GeoInquiries.Social Studies standardsC3: D3.3.6-8 – Identify evidence that draws information from multiple sources to support claims, noting evidentiary limitations.C3: D2.His.14.9-12 – Analyze multiple and complex causes and effects of events in the past.US History: E8:S3:9-12 – The causes and course of World War II, the character of the war at home and abroad, and its reshaping of the U.S. role in world affairs.Learning outcomesStudents will identify internment camps and processing locations, including peak populations and dates of operation.Students will locate Japanese-American populations and communities today.

  19. d

    Sumiyoshigawa catchment polygon

    • search.dataone.org
    • hydroshare.org
    • +1more
    Updated Dec 5, 2021
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    Christopher Gomez (2021). Sumiyoshigawa catchment polygon [Dataset]. https://search.dataone.org/view/sha256%3Aa4b98b33b235194bbd21f8234b9e469f0d946aab4222cbe3b4474c5cb4274040
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    Dataset updated
    Dec 5, 2021
    Dataset provided by
    Hydroshare
    Authors
    Christopher Gomez
    Area covered
    Description

    Shapefiles in JGD2000 UTM53 of: (1) the catchment area of the Sumiyoshigawa both in Kobe and in the mountain area as a polygon. (2) the tributary streams and the Sumiyoshigawa river as a polyline.

    The data was calculated using the SWAT tool in QGIS and it was derived from a DEM generated from LiDAR data, after vegetation cleaning.

  20. Japan - Wind Speed and Wind Power Potential Maps

    • data.amerigeoss.org
    Updated Apr 5, 2023
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    World Bank (2023). Japan - Wind Speed and Wind Power Potential Maps [Dataset]. https://data.amerigeoss.org/de/dataset/japan-wind-speed-and-wind-power-potential-maps
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    Dataset updated
    Apr 5, 2023
    Dataset provided by
    World Bankhttps://www.worldbank.org/
    License

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

    Area covered
    Japan
    Description

    Maps with wind speed, wind rose and wind power density potential in Japan. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).

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(2024). Japan - Population density - Dataset - ENERGYDATA.INFO [Dataset]. https://energydata.info/dataset/japan--population-density-2015

Japan - Population density - Dataset - ENERGYDATA.INFO

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Dataset updated
Jul 23, 2024
License

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

Area covered
Japan
Description

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

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