Archive of VECTOR datasets collected in response to the Haiti Earthquake of 2010. These are the final archive of data that were previously available from the reitred website (cegrp.cga.harvard.edu/haiti) See also archives at: http://wiki.crisiscommons.eu/wiki/Haiti/2010_Earthquake http://www.gelib.com/haiti-earthquake.htm http://supersites.earthobservations.org/haiti.php (2015-09-02)Original Data from: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/BAGUVN

CSV Download Link: https://bit.ly/3CP62uL

CSV Link: https://web.fulcrumapp.com/shares/39504f1feef6c472.csv

Archive of VECTOR datasets collected in response to the Haiti Earthquake of 2010. These are the final archive of data that were previously available from the reitred website (cegrp.cga.harvard.edu/haiti) See also archives at: http://wiki.crisiscommons.eu/wiki/Haiti/2010_Earthquake http://www.gelib.com/haiti-earthquake.htm http://supersites.earthobservations.org/haiti.php (2015-09-02)Original Data from: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/BAGUVN

description: This map was created as part of a worldwide series of geologic maps for the U.S. Geological Survey's World Energy Project. These products are available on CD-ROM and through the Internet. The goal of the project is to assess the undiscovered, technically recoverable oil and gas resources of the world. Most of the source data for this map compilation were digitized from the Geologic-Tectonic Map of the Caribbean Region by J.E. Case and T.L. Holcombe, at a scale of 1:2,500,000. For data management purposes, the world was divided into eight energy regions based on political boundaries and corresponding approximately to the economic regions of the world as defined by the U.S. Department of State. Region Six encompasses the Caribbean area, Central America, and South America. Other products are also available related to Region Six, including the Geologic Map of South America (USGS Open File Report 97-470-D). Countries listed below are shown whole or in part within the map extent of the Caribbean region: Anguilla Antigua and Barbuda Aruba Bahamas Barbados Belize British Virgin Islands Cayman Islands Colombia Costa Rica Cuba Dominica Dominican Republic El Salvador Grenada Guadeloupe Guatemala Guyana Haiti Honduras Jamaica Martinique Mexico Montserrat Netherlands Antilles Nicaragua Panama Puerto Rico St. Kitts and Nevis St. Lucia St. Vincent and the Grenadines Trinidad and Tobago Turks and Caicos Islands United States Venezuela Virgin Islands The world was previously divided into geologic provinces for the World Energy Project, of which a subset is shown on the map. Each province has a set of geologic characteristics that distinguish it from surrounding provinces. These characteristics may include dominant lithologies, the age of the strata, and/or structural type. Each province is assigned a unique number and may fall within two or more countries or assessment regions. The World Geographic Coordinate System of 1984 was used for data storage and map display. Other details about the map compilation and data sources are provided in several metadata formats in the data section on this CD-ROM. Various software packages were used to create this map including: Environmental Systems Research Institute, Inc. (ESRI) ArcGIS 8.3, ArcInfo software, Adobe Photoshop CS, Illustrator CS, and Acrobat 6.0.; abstract: This map was created as part of a worldwide series of geologic maps for the U.S. Geological Survey's World Energy Project. These products are available on CD-ROM and through the Internet. The goal of the project is to assess the undiscovered, technically recoverable oil and gas resources of the world. Most of the source data for this map compilation were digitized from the Geologic-Tectonic Map of the Caribbean Region by J.E. Case and T.L. Holcombe, at a scale of 1:2,500,000. For data management purposes, the world was divided into eight energy regions based on political boundaries and corresponding approximately to the economic regions of the world as defined by the U.S. Department of State. Region Six encompasses the Caribbean area, Central America, and South America. Other products are also available related to Region Six, including the Geologic Map of South America (USGS Open File Report 97-470-D). Countries listed below are shown whole or in part within the map extent of the Caribbean region: Anguilla Antigua and Barbuda Aruba Bahamas Barbados Belize British Virgin Islands Cayman Islands Colombia Costa Rica Cuba Dominica Dominican Republic El Salvador Grenada Guadeloupe Guatemala Guyana Haiti Honduras Jamaica Martinique Mexico Montserrat Netherlands Antilles Nicaragua Panama Puerto Rico St. Kitts and Nevis St. Lucia St. Vincent and the Grenadines Trinidad and Tobago Turks and Caicos Islands United States Venezuela Virgin Islands The world was previously divided into geologic provinces for the World Energy Project, of which a subset is shown on the map. Each province has a set of geologic characteristics that distinguish it from surrounding provinces. These characteristics may include dominant lithologies, the age of the strata, and/or structural type. Each province is assigned a unique number and may fall within two or more countries or assessment regions. The World Geographic Coordinate System of 1984 was used for data storage and map display. Other details about the map compilation and data sources are provided in several metadata formats in the data section on this CD-ROM. Various software packages were used to create this map including: Environmental Systems Research Institute, Inc. (ESRI) ArcGIS 8.3, ArcInfo software, Adobe Photoshop CS, Illustrator CS, and Acrobat 6.0.

This map shows the total population in Haiti in 2022, in a multiscale map (Country, Department, Arrondissement, and Commune). Nationally, there are 11,880,874 people in Haiti.The pop-up is configured to show the following information at each geography level:Total populationThe source of this data is Michael Bauer Research. The vintage of the data is 2022. This item was last updated in October, 2023 and is updated every 12-18 months as new annual figures are offered.Additional Esri Resources:Esri DemographicsThis item is for visualization purposes only and cannot be exported or used in analysis.We would love to hear from you. If you have any feedback regarding this item or Esri Demographics, please let us know.Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

Archive of VECTOR datasets collected in response to the Haiti Earthquake of 2010. These are the final archive of data that were previously available from the reitred website (cegrp.cga.harvard.edu/haiti) See also archives at: http://wiki.crisiscommons.eu/wiki/Haiti/2010_Earthquake http://www.gelib.com/haiti-earthquake.htm http://supersites.earthobservations.org/haiti.php (2015-09-02)Original Data from: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/BAGUVN

The High Resolution Settlement Layer (HRSL) provides estimates of human population distribution at a resolution of 1 arc-second (approximately 30m) for the year 2015. The population estimates are based on recent census data and high-resolution (0.5m) satellite imagery from DigitalGlobe. The population grids provide detailed delineation of settlements in both urban and rural areas, which is useful for many research areas—from disaster response and humanitarian planning to the development of communications infrastructure. The settlement extent data were developed by the Connectivity Lab at Facebook using computer vision techniques to classify blocks of optical satellite data as settled (containing buildings) or not. Center for International Earth Science Information Networks (CIESIN) at Earth Institute Columbia University used proportional allocation to distribute population data from subnational census data to the settlement extents.

The data-sets contain the population surfaces, metadata, and data quality layers. The population data surfaces are stored as GeoTIFF files for use in remote sensing or geographic information system (GIS) software.

The data can also be explored via an interactive map - http://columbia.maps.arcgis.com/apps/View/index.html?appid=ce441db6aa54494cbc6c6cee11b95917

Citation: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe.

Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of Mines, which is now part of USGS. The MRDS is a large and complex relational database developed over several decades by hundreds of researchers and reporters. While database records describe mineral resources worldwide, the compilation of information was intended to cover the United States completely, and its coverage of resources in other countries is incomplete. The content of MRDS records was drawn from reports previously published or made available to USGS researchers. Some of those original source materials are no longer available. The information contained in MRDS was intended to reflect the reports used as sources and is current only as of the date of those source reports. Consequently MRDS does not reflect up-to-date changes to the operating status of mines, ownership, land status, production figures and estimates of reserves and resources, or the nature, size, and extent of workings. Information on the geological characteristics of the mineral resource are likely to remain correct, but aspects involving human activity are likely to be out of date.

Purpose of the Caribbean Ecoregional AssessmentThe Caribbean is one of the worlds epicenters of biological diversity and species endemism with literally thousands of plants and animals found nowhere else on earth. Conservation has proven a challenge in this large, diverse, and globally-important area one the Nature Conservancy is addressing through a strong on-the-ground presence led by country programs that have science-based conservation strategies. To address these problems and opportunities, The Nature Conservancy initiated a Regional Conservation Assessment for the Greater Caribbean Basin, designed to examine regional biodiversity and the associated threats and conservation opportunities. This follows a worldwide trend of recognizing the need to examine about and manage for the maintenance of functioning ecosystem processes and populations across appropriately large regions to help slow widespread environmental changes. To facilitate this approach, we have assembled, into a standard, seamless GIS database, the biological and socio-economic data necessary to analyze the regional-scale context of Caribbean biodiversity.We identified and mapped a range of coarse-filter targets that represent a full spectrum of terrestrial, freshwater and marine biodiversity using combinations of biophysical factors (such as climate, geology, major habitat type, elevation, depth etc.). Mapping Caribbean biodiversity provides the basis for conservation decision making. Coarse-filter mapping at the level of ecological communities, ecosystems and landscapes is an efficient method to represent all essential elements of biodiversity across the entire region. We assessed human impact in two ways: expert judgments and mapping of the relative intensity of human impacts. Local experts provided judgments on the condition of targets and this information is combined with maps of human activities in order to determine relative human impacts. Distribution of human activities is a critical factor in conservation and resource management. Not all human activities are threats to biodiversity and determining relative human impact and predicting ecological health is necessary for sound management. We suggest that by providing the latest analytical tools and comprehensive biodiversity and socio-economic data, we can assist conservation organizations, local communities and governments that are striving to meet their national or local conservation missions and leverage and enhance ongoing conservation efforts. These data and tools can be used to enable sound, pragmatic conservation decisions at-scale. In this way, this assessment will serve to enhance and unify ongoing local and national conservation efforts and provide a common vision of conservation success throughout the Greater Caribbean. We suggest that use of the data and tools can facilitate strategic partnerships amongst both local and regional organizations across the basin a key to achieving lasting results. We hope to put in place a long-term information system that promotes the protection of the regions irreplaceable terrestrial, freshwater, coastal and marine biodiversity. We have designed simple data management systems to promote long-term use and dynamic updates of the database. Information is archived in a standardized structure on a freely accessible spatial warehouse using simple, robust systems that are easily and accessible to partners and stakeholders. Standardization and open access promotes updateable archiving systems so that new information can be easily integrated and compared with existing information and also facilitations information sharing and collaboration.

Purpose of the Caribbean Ecoregional AssessmentThe Caribbean is one of the worlds epicenters of biological diversity and species endemism with literally thousands of plants and animals found nowhere else on earth. Conservation has proven a challenge in this large, diverse, and globally-important area one the Nature Conservancy is addressing through a strong on-the-ground presence led by country programs that have science-based conservation strategies. To address these problems and opportunities, The Nature Conservancy initiated a Regional Conservation Assessment for the Greater Caribbean Basin, designed to examine regional biodiversity and the associated threats and conservation opportunities. This follows a worldwide trend of recognizing the need to examine about and manage for the maintenance of functioning ecosystem processes and populations across appropriately large regions to help slow widespread environmental changes. To facilitate this approach, we have assembled, into a standard, seamless GIS database, the biological and socio-economic data necessary to analyze the regional-scale context of Caribbean biodiversity.We identified and mapped a range of coarse-filter targets that represent a full spectrum of terrestrial, freshwater and marine biodiversity using combinations of biophysical factors (such as climate, geology, major habitat type, elevation, depth etc.). Mapping Caribbean biodiversity provides the basis for conservation decision making. Coarse-filter mapping at the level of ecological communities, ecosystems and landscapes is an efficient method to represent all essential elements of biodiversity across the entire region. We assessed human impact in two ways: expert judgments and mapping of the relative intensity of human impacts. Local experts provided judgments on the condition of targets and this information is combined with maps of human activities in order to determine relative human impacts. Distribution of human activities is a critical factor in conservation and resource management. Not all human activities are threats to biodiversity and determining relative human impact and predicting ecological health is necessary for sound management. We suggest that by providing the latest analytical tools and comprehensive biodiversity and socio-economic data, we can assist conservation organizations, local communities and governments that are striving to meet their national or local conservation missions and leverage and enhance ongoing conservation efforts. These data and tools can be used to enable sound, pragmatic conservation decisions at-scale. In this way, this assessment will serve to enhance and unify ongoing local and national conservation efforts and provide a common vision of conservation success throughout the Greater Caribbean. We suggest that use of the data and tools can facilitate strategic partnerships amongst both local and regional organizations across the basin a key to achieving lasting results. We hope to put in place a long-term information system that promotes the protection of the regions irreplaceable terrestrial, freshwater, coastal and marine biodiversity. We have designed simple data management systems to promote long-term use and dynamic updates of the database. Information is archived in a standardized structure on a freely accessible spatial warehouse using simple, robust systems that are easily and accessible to partners and stakeholders. Standardization and open access promotes updateable archiving systems so that new information can be easily integrated and compared with existing information and also facilitations information sharing and collaboration.

Our Haiti zip code Database offers comprehensive postal code data for spatial analysis, including postal and administrative areas. This dataset contains accurate and up-to-date information on all administrative divisions, cities, and zip codes, making it an invaluable resource for various applications such as address capture and validation, 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 CSV, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Product features include fully and accurately geocoded data, multi-language support with address names in local and foreign languages, comprehensive city definitions, and the option to combine map data with UNLOCODE and IATA codes, time zones, and daylight saving times. 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.

Worldwide coal consumption and international coal trade are projected to increase in the next several decades (Energy Information Administration, 2007). A search of existing literature indicates that in the Western Hemisphere, coal resources are known to occur in about 30 countries. The need exists to be able to depict these areas in a digital format for use in Geographic Information System (GIS) applications at small scales (large areas) and in visual presentations.

Existing surficial geology GIS layers of the appropriate geologic age have been used as an approximation to depict the extent of coal-bearing areas in North, Central, and South America, as well as Greenland. Global surficial geology GIS data were created by the U.S. Geological Survey (USGS) for use in world petroleum assessments (Hearn and others, 2003). These USGS publications served as the major sources for the selection and creation of polygons to represent coal-bearing areas. Additional publications and maps by various countries and agencies were also used as sources of coal locations. GIS geologic polygons were truncated where literature or hardcopy maps did not indicate the presence of coal.

The depicted areas are not adequate for use in coal resource calculations, as they were not adjusted for geologic structure and do not include coal at depth. Additionally, some coal areas in Central America could not be represented by the mapped surficial geology and are shown only as points based on descriptions or depictions from scientific publications or available maps. The provided GIS files are intended to serve as a backdrop for display of coal information. Three attributes of the coal that are represented by the polygons or points include geologic age (or range of ages), published rank (or range of ranks), and information source (published sources for age, rank, or physical location, or GIS geology base).

This layer shows the total population in Haiti in 2022, in a multiscale map (Country, Department, Arrondissement, and Commune). Nationally, there are 11,880,874 people in Haiti.The pop-up is configured to show the following information at each geography level:Total populationThe source of this data is Michael Bauer Research. The vintage of the data is 2022. This item was last updated in October, 2023 and is updated every 12-18 months as new annual figures are offered.Additional Esri Resources:Esri DemographicsThis item is for visualization purposes only and cannot be exported or used in analysis.We would love to hear from you. If you have any feedback regarding this item or Esri Demographics, please let us know.Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

This layer shows the average household size in Haiti in 2022, in a multiscale map (Country, Department, Arrondissement, and Commune). Nationally, the average household size is 4.3 people per household. It is calculated by dividing the household population by total households.The pop-up is configured to show the following information at each geography level:Average household size (people per household)Total populationTotal households The source of this data is Michael Bauer Research. The vintage of the data is 2022. This item was last updated in October, 2023 and is updated every 12-18 months as new annual figures are offered.Additional Esri Resources:Esri DemographicsThis item is for visualization purposes only and cannot be exported or used in analysis.We would love to hear from you. If you have any feedback regarding this item or Esri Demographics, please let us know.Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

CSV Link: https://web.fulcrumapp.com/shares/39504f1feef6c472.csv

This web experience contains two dashboards that display web maps depicting Haitian ancestry in Broward County. Each dashboard displays the same attributes at different geographies; one dashboard for Census Tracts and one for Zip Codes (within the Broward County urban boundary).There is also a link to download the PDF version of the Haitian Ancestry in Broward County Broward by the Numbers Issue embedded into the web experience, with instructions on how to download embedded as well.

CSV Link: https://web.fulcrumapp.com/shares/39504f1feef6c472.csv

https://www.loc.gov/item/73696443/TitleLa partie françoise de l'isle de Saint Domingue.NamesBellin, Jacques Nicolas, 1703-1772.Created / Published[Paris, 1764]

5th order basins of Haiti. Data derived using River Tools.