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

Download high-quality, up-to-date Japan shapefile boundaries (SHP, projection system SRID 4326). Our Japan Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

Japan administrative level 0 (country), 1 (prefecture) and 2 (city, town, or village) boundaries

This dataset was excluded from the set of administrative boundary Common Operational Datasets in 2023.

This polygon layer establishes the administrative boundaries of Toyko, Japan, otherwise known as the study area. These data are part of the Atlas of Urban Expansion.

国が定めた基準地域メッシュ（3 次メッシュ）のポリゴンです。1 辺の長さは約 1 km です。各セルには 3 次メッシュ コードに加え、1 次、2 次メッシュ コードが含まれています。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。

以下のレイヤーも利用可能です。

標準地域 2 次メッシュ - Japan MESH2 Boundaries ECM

標準地域 4 次メッシュ - Japan MESH4 Boundaries ECM

参考：標準地域メッシュ（ESRIジャパン GIS 基礎解説）

This layer shows a mesh of connected rectangular cells, generally known as the “Basic Grid Square” defined by the government of Japan. The width/height of each cell is approximately 1 kilometer. Each cell includes unique 8-digit MESH3 code as well as codes of all higher level geographic areas (MESH1 and MESH2) available. 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.

Other MESH layers available:

標準地域 2 次メッシュ - Japan MESH2 Boundaries ECM

標準地域 4 次メッシュ - Japan MESH4 Boundaries ECM

Additional file 1. Table of similar earthquakes. Group ID, Date, Latitude, Longitude, Depth, Magnitude and the Cross-correlation coefficient are provided for each earthquake here.

These features were digitized from georefereneced overview maps of wartime Japanese Internment / Relocation Centers. The maps were published in the report "Confinement and Ethnicity: An Overview of World War II Japanese American Relocation Sites" by the National Park Service and downloaded from the publication's webpage:https://www.nps.gov/parkhistory/online_books/anthropology74/index.htm Authors of the report: J. Burton, M. Farrell, F. Lord, and R. Lord

This is the dataset for "Slab temperature beneath the Tohoku region, Northeast Japan, constrained from surface heat flow and the location of the blueschist-out boundary" by M. Morishige.

This layer is derived from Japanese Knotweed Fallopia japonica species occurrence data accessed from the NBN Atlas API (https://api.nbnatlas.org/) on 29/04/2024. Record locations are indicated by polygons, the size of the polygon relating to the ‘Coordinate uncertainty in meters’ for each record. The data has also been spatially joined to the CaBA catchment boundaries to allow the data to be easily filtered to local catchment boundaries. All data providers are acknowledged in the pop up for each occurrence polygon. A full list of data providers can also be accessed here: https://species.nbnatlas.org/species/NHMSYS0000458716#data-partners A full list of records for this species can be found here on the NBN Atlas: https://species.nbnatlas.org/species/NHMSYS0000458716#recordsAll CC-BY-NC licenced records have been removed from this dataset as these records cannot be used for commercial purposes without prior agreement of the data provider. There may be a significant number of additional records for this species in your area which are covered by a CC-BY-NC licence. To enquire whether it is possible to access these additional records for your area, please get in touch with your local record centre or the NBN Atlas. The boundaries and contact details of local record centres can be viewed on this AGOL layer: https://arcg.is/8vOLKRecords without latitude and longitude coordinates and those records lacking coordinate uncertainty have been removed from this dataset.NBN Atlas Disclaimer:The NBN Atlas website, linked websites and Content are intended to provide information for general and scientific use, to assist research and public knowledge, discussion and policy development.The NBN Atlas makes the NBN Atlas website and content available on the understanding that you use them at your own risk – they are provided ‘as is’ and ‘as available’ and you exercise your own skill, judgement and care with respect to their use or your reliance on them.The NBN Atlas and Data Partners give no warranty regarding the quality, accuracy, completeness, currency, relevance or suitability for any particular purpose of the Content or the Atlas website.To the fullest extent permitted by applicable law, the NBN Atlas (including its employees and contractors), the National Biodiversity Network Trust and Data Partner exclude all liability to any person for any consequences, including but not limited to all losses, damages (including indirect, special or consequential damages, loss of business, revenue/profit, loss of time etc.), costs, expenses and any other compensation, arising directly or indirectly from your use of the Atlas website or Content or inability to access the Atlas website.If you find any inaccurate, out of date or incomplete Content on the NBN Atlas website, or if you suspect that something is an infringement of intellectual property rights, you must let us know immediately by contacting support@nbnatlas.org or the Data Partner of the Content.

This deposit contains dataset for the study reported in the paper "Surface physicochemical properties of smectite-rich fault gouge: A case study of the Japan Trench plate-boundary fault".

This fine resolution basin database provides basin model over 10 ha sub basins of the Sanriku coastal area, Japan located in the north west Pacific. The data contain watershed boundary, flow path data, flow accumulation and flow direction about the target area created by use of a 10m digital elevation model (DEM).

Preliminary results of the biostratigraphic analysis of calcareous nannofossils recovered from Ocean Drilling Program Leg 128, Sites 798 and 799, provide clues to the Quaternary oceanography of the Japan Sea. The distribution of calcareous nannofossils from the Quaternary sediments at Site 798 (903 m water depth) may record the position of an Oceanographic frontal boundary between warm water derived from a branch of the Kuroshio Current as it entered the Japan Sea through the Tsushima Straits to the south, and colder water introduced into the western portion of the Japan Sea derived from the winter chilling of northern Japan Sea surface waters. This Oceanographic front probably oscillated north-south over Site 798 in response to glacial/interglacial cycles, or perhaps to some other climatic event or combination of events unique to the Japan Sea. During the last 1.5 m.y., six major intervals are recognized when the Oceanographic front may have been north of Site 798 separated by five major intervals when the frontal boundary may have been south of the site. These migrations were centered around approximately 0.125, 0.29, 0.56, 0.62, 0.85, 0.91, 0.98, 1.0, 1.11, and 1.5 Ma, which correspond to the boundaries separating nannofossil-rich sediments from barren or nearly barren, low-carbonate intervals. Nannofossil-rich intervals may represent times when the frontal boundary was north of Site 798, and the site was above the CCD. Barren or nearly barren intervals represent times when the frontal boundary may have been south of Site 798 and the CCD was probably higher. The distribution of calcareous nannofossils at Site 799 (2073 m water depth) appears to be controlled more by the depth of the CCD than by any climatic effects. […]

The policy of reconstruction after the Fukushima Daiichi Nuclear Plant accident has led to a radical transformation of the landscapes of Fukushima Prefecture especially in two aspects (Asanuma-Brice et al., 2023). The first is related to an extensive decontamination policy which resulted in the removal of more than 13 million m3 of contaminated soil (MOEJ, 2021). The second is the widespread installation of solar panels, which demonstrate the transition decided by the Prefecture and the inhabitants in terms of energy policy.

A systematic mapping of these features was carried out from the satellite imagery of Google Map (2023) within the boundaries of Fukushima Prefecture. The objective was to highlight the evolution of specific land use features that are captured imprecisely by automatic detection mapping. We focused on the main visible change in the landscape in terms of land use since Fukushima Daiichi nuclear accident: contaminated waste disposal areas and solar panel fields. These zones were delineated allowing a calculation of the corresponding surface areas (m2). The dataset is composed of 4 shapefile layers: contaminated waste deposits in 2022 and 2023, solar panels in 2022 and 2023. For the year 2022 the last update was conducted in July 2022 and for the year 2023 the last update took place in March 2023.

As the land use is in constant and rapid transition (Asanuma-Brice, 2021), we considered as contaminated waste deposits, the permanent storage centers as well as the sites where there are still bags of contaminated waste in varying numbers, knowing that they will be removed and stored on other dedicated sites (Evrard et al., 2019). This choice was made to potentially identify, when the map was updated, the future uses of the land where this waste was stored temporarily.

This dataset is part of a larger project that aims to provide the community with an interactive tool (https://mitatelab.cnrs.fr/mitate-labs-map-of-solar-panel-and-contaminated-wasted-land/) that makes available various types of information essential to the analysis of the reconstruction, such as: the delineation of the evacuated zone (which evolved throughout time), the delineation of the municipality boundaries affected by the reconstruction policy, the main services found in these localities, the location of the memorials of the disaster in the zone, as well as the geo-localization of the soil/sediment samples collected by other Mitate lab researchers in order to investigate the redistribution of radionuclides in the environment (Evrard et al., 2021).

Summary of human-bear (HB) boundaries for each sex-season group of Asiatic black bears in the central Japan Alps.

The life cycles of bark beetles are intimately linked to their host species. Therefore, bark beetle species are expected to show traits that vary among different host species and across geographic ranges. The taxonomic proximity of host tree species can also influence host selection. Abies species native to Japan are genetically classified into three phylogenetic groups. Their natural distributions are separated by a distinct biogeographic boundary in Japan (i.e. the Tsugaru Strait, also referred to as Blakiston's Line). Especially, A. sachalinensis is the only species native to Hokkaido, north of the Tsugaru Strait. I, therefore, investigated the host preference of Polygraphus proximus Blandford within four allopatrically distributed Abies species across the north and south of the Tsugaru Strait through field surveys and field choice experiments. Field observations and field host-choice bioassays showed that A. sachalinensis was less severely attacked by P. proximus than was A. veitchii on both sides of the Tsugaru Strait. The beetles also preferred to attack A. firma (which belongs to a genetically distinct group (i.e., the section Momi) from that of A. veitchii and A. sachalinensis (i.e., the section Balsamea)), over A. sachalinensis in both Hokkaido and Honshu. Although A.homolepis also belongs to the section Momi, A. firma and A. veitchii had more attacks than A. homolepis. The results provide evidence that P. proximus does not show specialization across the different parts of their geographic range where the host species are different, and there is no positive correlation between taxonomic proximity and host preference for P. proximus.

Important Note: This item is in mature support as of July 2021. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.World Street Map includes highways, major roads, minor roads, one-way arrow indicators, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries, overlaid on shaded relief for added context.This basemap is compiled from a variety of authoritative sources from several data providers, including the U.S. Geological Survey (USGS), U.S. Environmental Protection Agency (EPA), U.S. National Park Service (NPS), Food and Agriculture Organization of the United Nations (FAO), Department of Natural Resources Canada (NRCAN), HERE, and Esri. Data for select areas is sourced from OpenStreetMap contributors. Specific country list and documentation of Esri's process for including OSM data is available to view. Additionally, data for the World Street Map is provided by the GIS community through the Community Maps Program. For details on data sources contributed by the GIS community in this map, view the list of Contributors for the World Street Map.CoverageThe map provides coverage for the world down to ~1:72k and street-level data down to ~1:4k across the United States; most of Canada; Japan; Europe; much of Russia; Australia and New Zealand; India; most of the Middle East; Pacific Island nations; South America; Central America; and Africa. Coverage in select urban areas is provided down to ~1:1k.UseYou can add this layer to the ArcGIS Online Map Viewer, ArcGIS Desktop, or ArcGIS Pro. To view this layer in a web map, see this Streets basemap.