City of Nome Public Tax Parcel Viewer Web Map, built in Map Viewer Classic.

These data provide an accurate high-resolution shoreline compiled from imagery of Nome, AK . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

Street Address Points for the City of Nome, Alaska. Update October 3, 2020.

Water bodies in the vicinity of Nome, Alaska. Original source is National Hydrologic Database, but substantially edited to match existing conditions.

This FEMA Framework Basemap dataset comprises the seven FGDC themes of geospatial data that are used by most GIS applications: cadastral, geodetic control, governmental unit, transportation, general structures, hydrography (water areas & lines), and orthoimagery. The vector data include an encoding of the geographic extent of the features and a minimal number of attributes needed to identify and describe the features. (Source: Circular A16, p. 13) Also included is a digital orthographic imagery dataset. Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for sensor distortions and orientation, and terrain relief. Digital orthoimages have the geometric characteristics of a map, and image qualities of a photograph.

These data provide an accurate high-resolution shoreline compiled from imagery of NOME HARBOR, AK . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

These data were automated to provide an accurate high-resolution historical shoreline of Nome, AK suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

Geospatial data about US National Oceanic and Atmospheric Administration Alaska Sites. Export to CAD, GIS, PDF, CSV and access via API.

Labels for Nome Streets, base on merger of Nome Street Centerlines in order to minimized duplicate labels in web mapping. Labels are classified by Road Class to enable different labels sizes and scale dependencies. Last updated Oct. 3, 2020

The data for this project is contained in digitally recorded interviews, interview transcripts, photographs and spatial GIS data. All data is stored at the offices of Kawerak, Inc. in Nome, Alaska, USA. Publications associated with this data include: Gadamus, L. and J. Raymond-Yakoubian 2015 Qualitative participatory mapping of seal and walrus harvest and habitat areas: Documenting indigenous knowledge, preserving local values, and discouraging misuse. International Journal of Applied Geospatial Research 6(1): 76-93. Oceana and Kawerak, Inc. 2014 Bering Strait Marine Life and Subsistence Data Synthesis. Oceana, Juneau, Alaska. Kawerak, Inc. 2013 Seal and Walrus Harvest and Habitat Areas for Nine Bering Strait Region Communities. Kawerak Social Science Program. Nome, Alaska. Gadamus, Lily 2013 Linkages between human health and ocean health: a participatory climate change vulnerability assessment for marine mammal harvesters. International Journal of Circumpolar Health, 72. Kawerak, Inc. 2013 Seal and Walrus Hunting Safety: Traditional Knowledge from Kawerak's Ice Seal and Walrus Project. Kawerak Social Science Program. Nome, Alaska. Kawerak, Inc. 2013 Traditions of Respect: Traditional Knowledge from Kawerak's Ice Seal and Walrus Project. Kawerak Social Science Program. Nome, Alaska. Kawerak, Inc. 2014 Policy-based Recommendations from Kawerak's Ice Seal and Walrus Project. Kawerak Social Science Program. Nome, Alaska.

City of Nome Street Centerlines with several attributes, symbolized by Road Classification. Data updated Dec. 17, 2020

Access Easements identified so far within the City of Nome. Not all access easements have yet been identified or mapped.

Parcels joined with the Taxroll for Nome, Alaska.

Procedimentos operacionais padrões (POP) existentes na PCRJ. Um POP é um procedimento que será usado para solucionar um evento. Um POP é composto de várias atividades. Um evento é uma ocorrência na cidade do Rio de Janeiro que exija um acompanhamento e na maioria das vezes uma ação da PCRJ, como por exemplo um buraco na rua. Acesse também através da API do Escritório de Dados: https://api.dados.rio/v1/

  Como acessar


  Nessa página


  Aqui, você encontrará um botão para realizar o download dos dados em formato CSV e compactados com gzip. Ou, para mesmo resultado, pode clicar aqui.


  BigQuery




      SELECT


      *


      FROM


      `datario.adm_cor_comando.procedimento_operacional_padrao`


      LIMIT


      1000




  Clique aqui
  para ir diretamente a essa tabela no BigQuery. Caso não tenha experiência com BigQuery,
  acesse nossa documentação para entender como acessar os dados.


  Python



    import
    basedosdados
    as
    bd


    # Para carregar o dado direto no pandas

    df
    =
    bd.read_sql
    (
    "SELECT * FROM `datario.adm_cor_comando.procedimento_operacional_padrao` LIMIT 1000"
    ,
    billing_project_id
    =
    "<id_do_seu_projeto_gcp>"
    )




  R



    install.packages(
    "basedosdados"
    )

    library(
    "basedosdados"
    )


    # Defina o seu projeto no Google Cloud

    set_billing_id(
    "<id_do_seu_projeto_gcp>"
    )


    # Para carregar o dado direto no R

    tb <- read_sql(
    "SELECT * FROM `datario.adm_cor_comando.procedimento_operacional_padrao` LIMIT 1000"
    )






  Cobertura temporal


  Não informado.




  Frequência de atualização


  Mensal




  Órgão gestor


  COR




  Colunas



    Nome
    Descrição




        id_pop
        Identificador do POP procedimento operacional padrão).



        pop_titulo
        Nome do procedimento operacional padrão.







  Dados do(a) publicador(a)


  Nome: Patrícia Catandi
  E-mail: patriciabcatandi@gmail.com

FeatureClass MO_Toponimi_reg_limitrofe contiene le feature rappresentative dei toponimi delle regioni limitrofe alla regione Molise

FeatureClass MO_Toponimi_reg_limitrofe

La feature class rappresenta un foglio della Carta Tecnica Regionale 1:5000. Il dato è stato ricevuto dalla Regione Molise in formato shapefile.

La feature class rappresenta un foglio della Carta Tecnica Regionale 1:5000. Il dato è stato ricevuto dalla Regione Molise in formato shapefile.

La feature class rappresenta un foglio della Carta Tecnica Regionale 1:5000. Il dato è stato ricevuto dalla Regione Molise in formato shapefile.

La feature class rappresenta un foglio della Carta Tecnica Regionale 1:5000. Il dato è stato ricevuto dalla Regione Molise in formato shapefile.