Download high-quality, up-to-date Brazil shapefile boundaries (SHP, projection system SRID 4326). Our Brazil 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.

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

Natural land resources in Brazil have been subject to strong pressure from agricultural expansion over the past two decades. This map identifies and classifies deforestation hotspots in the Southern American country. Moreover, it hints to land use change dynamics such as leakage effects in tropical areas. The map represents the period between 2005-2012, and classifies deforestation hotspots in three categories: a) reduced, b) increased, and c) new. Quality/Lineage: Land cover information from Global Forest Watch (https://data.globalforestwatch.org/) was used to identify deforested pixels per year. ArcGIS 10 was used to create spatial statistics of yearly information. R and RStudio were used to classify each grid cell as a hotspot and its type, and to convert the resulting cover information into a shapefile.

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

Arquivos em formato shp com informações sobre energia e comunicações, hidrografia, índice dos nomes, limites e localidades, relevo, sistema de transporte, e outros mais, tanto do Estado do Rio de Janeiro, como do território nacional; limites municipais apenas dos Estados do Rio de Janeiro e de Minas Gerais, bem como de todo Brasil, em formato shp; mapas dos municípios de interesse nesse estudo em formato pdf; e alguns dados censitários com projeções da população para 2060 em formato xls.

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

This point shapefile contains the locations of state capitals in Brazil in 1900. These data were created using a custom World Polyconic Projection. This layer is part of the Evolução da divisão territorial do Brasil 1872 - 2010 dataset, a collection of data representing the evolution of Brazilian states, municipalities and cities.This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.Read More

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

These data are the river basin shapefile components of a curated set of historical daily rainfall and streamflow data for a large region spanning the southern Amazonian rainforest and tropical savanna biomes of Brazil.

Basin attributes include: a site ID ("site"); the basin area in square km ("area"); the fraction of the basin area impacted by (draining to) a large (>30MW) reservoir ("resvr"); and a numeric indicator for basins located within the same basin network, i.e. nested basins ("group"). None of these basins have reservoir facilities located at their outlets as of 2013, although they may have reservoirs upstream - as indicated by the basin "resvr" attribute. Basin and reservoir drainage area boundaries were derived from free, publicly-available geographic information systems (GIS) data obtained from the Brazilian water management and electricity regulatory agencies: Agência Nacional de Águas (ANA) and Agência Nacional de Energia Elétrica (ANEEL), respectively.

For each unique basin, there exists a corresponding flow gauge location record (see "Flow gauge locations for the Brazilian rainforest-savanna transition zone") and a flow time series record for discharge at the basin outlet (see "Flow gauge data for the Brazilian rainforest-savanna transition zone"); these are identified by the same site ID numbers.

Additional data package information and contents, including raw data files, documentation of data acquisition and processing, and related programmatic scripts, are available via Figshare: https://doi.org/10.6084/m9.figshare.3100912.v1

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

This point shapefile contains the location of Brasilia, established as the federal capital of Brazil on April 21, 1960, Brasilia superseded Rio de Janeiro as the nation's capital. These data were created using a custom World Polyconic projection. This layer is part of the Evolução da divisão territorial do Brasil 1872 - 2010 dataset, a collection of data representing the evolution of Brazilian states, municipalities and cities.This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.Read More

This KML in WGS84 allows a projection of topographic regionalization for the State of Paraná in Brazil. It was created based on "Cigolini, A., L. Mello & N. Lopes. (1998) Atlas of Paraná: Quadro natural, transformações territoriais e economia. Renascer: Curitiba, 128 p. ISBN 858578086X".

How to cite: Caramori, L. R. 2023. A KML TO THE PLATEAUS OF THE STATE OF PARANÁ, BRAZIL. Version 0.1

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

Polígonos dos novos limites dos biomas, para uso auxiliar, provenientes do dado original composto pelos limites dos Biomas do Brasil. Os limites dos biomas brasileiros foram alterados conforme publicação do IBGE de 30/10/2019. Este conjunto de dados foi ajustado para o novo recorte. https://agenciadenoticias.ibge.gov.br/agencia-sala-de-imprensa/2013-agencia-de-noticias/releases/25798-ibge-lanca-mapa-inedito-de-biomas-e-sistema-costeiro-marinho Novos Biomas (acessado em 07/12/2021) ----------------------------------------------------------------------------------------------------------------------------------------- O shapefile original dos Biomas do Brasil foi obtido via HTTP do seguinte endereço: - https://www.ibge.gov.br/geociencias/downloads-geociencias.html - http://geoftp.ibge.gov.br/informacoes_ambientais/estudos_ambientais/biomas/vetores/Biomas_250mil.zip Metadado original: https://metadados.inde.gov.br/geonetwork/srv/por/catalog.search#/metadata/97a9e71c-fd43-4423-bde0-6e26dca504d0 Área dos biomas segundo o IBGE, página 114 do https://biblioteca.ibge.gov.br/visualizacao/livros/liv101676.pdf ----------------------------------------------------------------------------------------------------------------------------------------- Amazônia => 4.212.742 km² Cerrado => 1.983.017 km² Mata Atlântica => 1.107.419 km² Caatinga => 862.818 km² Pampa => 193.836 km² Pantanal => 150.988 km² Sistema Costeiro-Marinho => 194.837 km² (não utilizado para fins de levantamento de desmatamento) Outras informações relacionadas: ----------------------------------------------------------------------------------------------------------------------------------------- - Infos: https://www.ibge.gov.br/apps/biomas/ - Infos: https://www.ibge.gov.br/geociencias/cartas-e-mapas/informacoes-ambientais/15842-biomas.html?edicao=25799&t=acesso-ao-produto - WMS: https://geoservicos.ibge.gov.br/geoserver/CREN/wms?service=WMS&version=1.1.0&request=GetMap&layers=CREN:lm_bioma_250&styles=&bbox=-73.983182159,-33.7511779939999,-28.8477703529999,5.26958083300003&width=768&height=663&srs=EPSG:4674&format=application/openlayers

Dado de terceiro para uso auxiliar, composto pelos limites dos estados, provenientes do shapefile "lml_unidade_federacao_a" (IBGE - BC250 - Limites e Localidades - 1:250.000 - 2021), recortados pelos novos limites dos biomas do Brasil. Estados (acessado em 25/05/2022) ----------------------------------------------------------------------------------------------------------------------------------------- O shapefile original de estados foi obtido via HTTP do seguinte endereço: https://www.ibge.gov.br/apps/basescartograficas/#/home Metadado original: ----------------------------------------------------------------------------------------------------------------------------------------- https://metadadosgeo.ibge.gov.br/geonetwork_ibge/srv/por/catalog.search#/metadata/9377677f-97fa-4763-ab4a-40dc4f6d4a7d/formatters/xsl-view?root=div&view=advanced Metadado relacionado (Limites dos biomas do Brasil) ----------------------------------------------------------------------------------------------------------------------------------------- Os limites dos biomas brasileiros foram alterados conforme publicação do IBGE de 30/10/2019. Este conjunto de dados foi ajustado para o novo recorte. https://agenciadenoticias.ibge.gov.br/agencia-sala-de-imprensa/2013-agencia-de-noticias/releases/25798-ibge-lanca-mapa-inedito-de-biomas-e-sistema-costeiro-marinho http://terrabrasilis.dpi.inpe.br/geonetwork/srv/eng/catalog.search#/metadata/0d88678e-4cdb-44f3-9b1d-8edc00bc4122

This data set contains the inputs and the results of the REDD+ Policy Assessment Centre project (REDD-PAC) project (http://www.redd-pac.org), developed by a consortium of research institutes (IIASA, INPE, IPEA, UNEP-WCMC), supported by Germany's International Climate Initiative. Taking a new land use map of Brazil for 2000 as input, the research team used the global economic model GLOBIOM to project land use changes in Brazil up to 2050. […]

This data set displays the boundaries of areas designated as indigenous lands in Brazil. Indigenous lands legally recognize indigenous peoples’ perpetual rights of access, use, withdrawal, management, and exclusion over the land and associated resources. Alienation of the land is prohibited. However, commercial use of forest resources is permitted, but cutting trees for sale requires approval by the National Legislature. Rights to subsoil resources may be obtained only with the approval of the National Legislature and after consultation with the affected indigenous peoples. This data set includes indigenous lands that are officially registered and those at various stages of the registration process.