100+ datasets found
  1. Geography Lookup API - By Geography Type and Geography Name

    • datasets.ai
    • s.cnmilf.com
    • +2more
    23
    Updated Aug 26, 2024
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    Department of Commerce (2024). Geography Lookup API - By Geography Type and Geography Name [Dataset]. https://datasets.ai/datasets/geography-lookup-api-by-geography-type-and-geography-name
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    23Available download formats
    Dataset updated
    Aug 26, 2024
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    Authors
    Department of Commerce
    Description

    This API returns geographies by name of a specific geography type.

  2. Demographics API - By Geography Type and Geography Name

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Mar 11, 2021
    + more versions
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    National Telecommunication and Information Administration, Department of Commerce (2021). Demographics API - By Geography Type and Geography Name [Dataset]. https://catalog.data.gov/dataset/demographics-api-by-geography-type-and-geography-name
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    Dataset updated
    Mar 11, 2021
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    Description

    This API returns a search for the demographic information for a particular geography type and geography name.

  3. d

    Community Anchor Institutions API - By Geography Type and Geography ID

    • datadiscoverystudio.org
    • datasets.ai
    • +2more
    Updated Jun 24, 2014
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    (2014). Community Anchor Institutions API - By Geography Type and Geography ID [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/09a8d84b6f4f49b28f484db12b449703/html
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    Dataset updated
    Jun 24, 2014
    Description

    This API returns the broadband availability among the Community Anchor Institutions by geography type and ID.

  4. g

    Demographics API - By Geography Type and Geography Name | gimi9.com

    • gimi9.com
    + more versions
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    Demographics API - By Geography Type and Geography Name | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_demographics-api-by-geography-type-and-geography-name/
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    License

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

    Description

    🇺🇸 미국

  5. g

    Geography Lookup API - By name of specific Geography Type within a State |...

    • gimi9.com
    + more versions
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    Geography Lookup API - By name of specific Geography Type within a State | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_geography-lookup-api-by-name-of-specific-geography-type-within-a-state
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    License

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

    Description

    🇺🇸 미국

  6. A

    Broadband Summary API - By Geography Type and Geography ID

    • data.amerigeoss.org
    • catalog.data.gov
    json
    Updated Jul 29, 2019
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    United States[old] (2019). Broadband Summary API - By Geography Type and Geography ID [Dataset]. https://data.amerigeoss.org/sk/dataset/broadband-summary-api-by-geography-type-and-geography-id
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    jsonAvailable download formats
    Dataset updated
    Jul 29, 2019
    Dataset provided by
    United States[old]
    License

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

    Description

    This API returns broadband summary data by geography IDs for a specific geography type. It is designed to retrieve broadband summary data by geography and census metrics (population or households) combined as search criteria. The data includes wireline and wireless providers, different technologies and broadband speeds reported in the particular area being searched for on a scale of 0 to 1.

  7. d

    Speed Test API - By Geography Type and Geography Name

    • datasets.ai
    • catalog.data.gov
    • +1more
    23
    Updated Sep 14, 2024
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    Department of Commerce (2024). Speed Test API - By Geography Type and Geography Name [Dataset]. https://datasets.ai/datasets/speed-test-api-by-geography-type-and-geography-name
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    23Available download formats
    Dataset updated
    Sep 14, 2024
    Dataset authored and provided by
    Department of Commerce
    Description

    This API returns the speed test results for a particular geography type (e.g., state, congressional district) and geography name (e.g., Virginia).

  8. Almanac API - Ranking by Geography Type within the Nation

    • s.cnmilf.com
    • datadiscoverystudio.org
    • +3more
    Updated Mar 11, 2021
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    National Telecommunication and Information Administration, Department of Commerce (2021). Almanac API - Ranking by Geography Type within the Nation [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/almanac-api-ranking-by-geography-type-within-the-nation
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    Dataset updated
    Mar 11, 2021
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    Description

    This API is designed to find the rankings by any geography type within the nation with a specific census metric (population or household) and ranking metric (any of the metrics from provider, demographic, technology or speed). Support for full list of rankings by nation is not allowed for geography types (e.g., county, census place, usf) so only the top ten and bottom ten rankings would be returned through the API.

  9. A

    Almanac API - Ranking by Geography Type within a State

    • data.amerigeoss.org
    • s.cnmilf.com
    • +4more
    json
    Updated Jul 26, 2019
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    United States[old] (2019). Almanac API - Ranking by Geography Type within a State [Dataset]. https://data.amerigeoss.org/mn_MN/dataset/almanac-api-ranking-by-geography-type-within-a-state
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    jsonAvailable download formats
    Dataset updated
    Jul 26, 2019
    Dataset provided by
    United States[old]
    License

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

    Description

    This API is designed to find the rankings by any geography type within the state with a specific census metric (population or household) and ranking metric (any of the metrics from provider, demographic, technology or speed). Only the top ten and bottom ten rankings would be returned through the API if the result set is greater than 500; otherwise full ranking list be returned.

  10. g

    Community Anchor Institutions API - By Geography Type and Geography ID |...

    • gimi9.com
    Updated Feb 17, 2011
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    (2011). Community Anchor Institutions API - By Geography Type and Geography ID | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_community-anchor-institutions-api-by-geography-type-and-geography-id/
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    Dataset updated
    Feb 17, 2011
    License

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

    Description

    🇺🇸 미국

  11. Epidemiological geography at work. An exploratory review about the overall...

    • zenodo.org
    Updated Jul 19, 2024
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    Andrea Marco Raffaele Pranzo; Andrea Marco Raffaele Pranzo (2024). Epidemiological geography at work. An exploratory review about the overall findings of spatial analysis applied to the study of CoViD-19 propagation along the first pandemic year (DATASET) [Dataset]. http://doi.org/10.5281/zenodo.4685964
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    Dataset updated
    Jul 19, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Andrea Marco Raffaele Pranzo; Andrea Marco Raffaele Pranzo
    License

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

    Description

    Literature review dataset

    This table lists the surveyed papers concerning the application of spatial analysis, GIS (Geographic Information Systems) as well as general geographic approaches and geostatistics, to the assessment of CoViD-19 dynamics. The period of survey is from January 1st, 2020 to December 15th, 2020. The first column lists the reference. The second lists the date of publication (preferably, the date of online publication). The third column lists the Country or the Countries and/or the subnational entities investigated. The fourth column lists the epidemiological data utilized in each paper. The fifth column lists other types of data utilized for the analysis. The sixth column lists the more traditionally statistically-based methods, if utilized. The seventh column lists the geo-statistical, GIS or geographic methods, if utilized. The eight column sums up the findings of each paper. The papers are also classified within seven thematic categories. The full references are available at the end of the table in alphabetical order.

    This table was the basis for the realization of a comprehensive geographic literature review. It aims to be a useful tool to ease the "due-diligence" activity of all the researchers interested in the spatial analysis of the pandemic.

    The reference to cite the related paper is the following:

    Pranzo, A.M.R., Dai Prà, E. & Besana, A. Epidemiological geography at work: An exploratory review about the overall findings of spatial analysis applied to the study of CoViD-19 propagation along the first pandemic year. GeoJournal (2022). https://doi.org/10.1007/s10708-022-10601-y

    To read the manuscript please follow this link: https://doi.org/10.1007/s10708-022-10601-y

  12. GEOGRAPHY TOOLKIT - PHYSICAL

    • library.ncge.org
    Updated Jul 27, 2021
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    NCGE (2021). GEOGRAPHY TOOLKIT - PHYSICAL [Dataset]. https://library.ncge.org/documents/43c3b40e50864e60b1f0674877ee60dd
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    Dataset updated
    Jul 27, 2021
    Dataset provided by
    National Council for Geographic Educationhttp://www.ncge.org/
    Authors
    NCGE
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Author: ANN WURST, educator, NGS TEACHER CONSULTANTGrade/Audience: grade 6, high school, ap human geographyResource type: warm_upSubject topic(s): physical geographyRegion: worldStandards: (19) Social studies skills. The student applies critical-thinking skills to organize and use information acquired through established research methodologies from a variety of valid sources, including technology. The student is expected to:

    (A) analyze information by sequencing, categorizing, identifying cause-and-effect relationships, comparing, contrasting, finding the main idea, summarizing, making generalizations and predictions, and drawing inferences and conclusions;

    (B) create a product on a contemporary government issue or topic using critical methods of inquiry;

    (D) analyze and evaluate the validity of information, arguments, and counterarguments from primary and secondary sources for bias, propaganda, point of view, and frame of reference; and

    Objectives: STUDENTS WILL KEEP A LIST OF THE TOOLKIT 'HELPERS' IN THEIR NOTEBOOK AND USE THE ELEMENTS TO PROCESS/APPLY INFORMATION IN VARIOUS FORMATS SUCH AS SHORT ANSWERS REPSONSES, TICKETS OUT THE DOOR, SETTING UP WRITING SAMPLES FOR WORLD GEO, AP HUMAN GEO AND OTHER COURSES INVOLVING THE STUDY OF GEOGRAPHY CONCEPTS. Summary: STUDENTS CAN USE THESE 'HOOKS' IN THEIR STUDY OF PHYSICAL GEOGRAPHY, CAN BE APPLIED IN EVERY UNIT WHERE PHYSICAL GEOGRAPHY IS STUDIED TO HELP FURTHER CRITICAL THINKING.

  13. Electronic commerce and electronic orders, by type of payment and geography

    • datasets.ai
    • www150.statcan.gc.ca
    • +3more
    21, 55, 8
    Updated Aug 6, 2024
    + more versions
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    Statistics Canada | Statistique Canada (2024). Electronic commerce and electronic orders, by type of payment and geography [Dataset]. https://datasets.ai/datasets/ed740933-f94c-4228-a2c7-caa875586af7
    Explore at:
    21, 8, 55Available download formats
    Dataset updated
    Aug 6, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Authors
    Statistics Canada | Statistique Canada
    Description

    Canadian Internet use survey, electronic commerce and electronic orders by type of payment, for internet orders for Canada and regions from 2010 and 2012.

  14. Census API - By Geography Name

    • catalog.data.gov
    • s.cnmilf.com
    Updated Mar 11, 2021
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    National Telecommunication and Information Administration, Department of Commerce (2021). Census API - By Geography Name [Dataset]. https://catalog.data.gov/dataset/census-api-by-geography-name
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    Dataset updated
    Mar 11, 2021
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    Description

    This API returns the geographies specified by a geography name (e.g., Washington) of a specific geography type (e.g., congressional district) within the entire United States.

  15. Growing Up in Scotland: Cohort 1, Sweep 8, Geography Data, Data Zones,...

    • beta.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated 2022
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    Scottish Centre For Social Research (2022). Growing Up in Scotland: Cohort 1, Sweep 8, Geography Data, Data Zones, 2014-2015: Secure Access [Dataset]. http://doi.org/10.5255/ukda-sn-8532-1
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    Dataset updated
    2022
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    DataCitehttps://www.datacite.org/
    Authors
    Scottish Centre For Social Research
    Area covered
    Scotland
    Description

    The Growing Up in Scotland (GUS) study is a large-scale longitudinal social survey which follows the lives of several groups of Scottish children from infancy through childhood and adolescence, and aims to provide important new information on children and their families in Scotland. The study forms a central part of the Scottish Government's strategy for the long-term monitoring and evaluation of its policies for children, with a specific focus on the early years. Unlike other similar cohort studies, this survey has a specifically Scottish focus. A key objective of GUS is to address a significant gap in the evidence base for early years policy monitoring and evaluation. The study seeks both to describe the characteristics, circumstances and experiences of children in their early years (and their parents) in Scotland and, through its longitudinal design, to generate a better understanding of how children's start in life can shape their longer term prospects and development.

    Since 2005, study design and data collection have been undertaken by ScotCen Social Research with collaborations with the Centre for Research on Families and Relationships, based at the University of Edinburgh and the MRC/CSO Social and Public Health Sciences Unit over certain periods of the project. The survey design consisted of recruiting an initial total of 8,000 parents in 2005, comprising two cohorts of children (5,000 from birth, 3,000 from age two years and ten months), and then interviewing parents annually until their child reached age five years ten months. Further fieldwork was undertaken with the birth cohort when the children were around eight, ten, twelve and fourteen years old. A boost sample of 500 children from predominantly high deprivation areas was added to the cohort as part of the age 12 fieldwork.

    Data is collected via an in-home, face-to-face interview with self-complete sections. Fieldwork for sweep 10 was disrupted due to the COVID pandemic. As a result, the final portion of the data was collected via web and telephone questionnaires.

    Special Licence data:
    The main survey data are available under Special Licence:

    • SNs 9373-9383 and 9386-9387 - Growing Up in Scotland: Cohort 1
    • SN 7432 - Growing Up in Scotland: Cohort 2
    • SN 8366 - Growing Up in Scotland: Cohort 1, Primary 6 Teacher Survey

    Secure Access Geographic Data:
    Geographic data are available under Secure Access and are separated by cohort, sweep and type of geographic variable. Information is available on the GUS Access Data web page. Users must also include the main Growing Up in Scotland Special Licence data in the Accredited Researcher Proposal form and add it to their projects (please note there is no need for Secure Access users to complete a separate Special Licence application).

    Secure Access Early Learning and Childcare Administrative Data:
    Care Inspectorate quality information on the settings which provided children in Birth Cohort 1 and Birth Cohort 2 with their state-funded early learning and childcare (pre-school) entitlement when they were aged between 3 and 5 years old is available under SN 8543 (Birth Cohort 1) and SN 8544 (Birth Cohort 2).

    SN 8532 - Growing Up in Scotland: Cohort 1, Sweep 8, Geography Data, Data Zones, 2014-2015: Secure Access
    This study contains a Data Zones variable for GUS Cohort 1, Sweep 8. An archive serial number variable is also included for matching to the main data files. These data have more restrictive access conditions than those available under Special Licence (see 'Access' section).

  16. g

    Speed Test API - Minimum and Maximum Quartile speeds by Geography Type |...

    • gimi9.com
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    Speed Test API - Minimum and Maximum Quartile speeds by Geography Type | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_speed-test-api-minimum-and-maximum-quartile-speeds-by-geography-type
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    License

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

    Description

    🇺🇸 미국

  17. Human Geography Regions Map Analysis

    • library.ncge.org
    Updated Jul 28, 2021
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    NCGE (2021). Human Geography Regions Map Analysis [Dataset]. https://library.ncge.org/documents/6ef711a51646406e9eff1bd92b61777d
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    Dataset updated
    Jul 28, 2021
    Dataset provided by
    National Council for Geographic Educationhttp://www.ncge.org/
    Authors
    NCGE
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Author: Ann Wurst, consultantGrade/Audience: ap human geographyResource type: activitySubject topic(s): regional geography, maps, human geographyRegion: worldStandards: AP Human Geography CED TOPIC 1.7 Regional Analysis LEARNING OBJECTIVE SPS-1.A Describe different ways that geographers define regions. ESSENTIAL KNOWLEDGE SPS-1.A.1 Regions are defined on the basis of one or more unifying characteristics or on patterns of activity. SPS-1.A.2 Types of regions include formal, functional, and perceptual/vernacular. SPS-1.A.3 Regional boundaries are transitional and often contested and overlapping. SPS-1.A.4 Geographers apply regional analysis at local, national, and global scales.Objectives: Students will be able to describe different ways that geographers define regions. Students wll be able to define Regions on the basis of one ormore unifying characteristics or on patterns of activity. Students will be able to identify the types of regions (formal, functional, and perceptual/vernacular.) Students will understand that Geographers apply regional analysis at local, national, and global scales. Summary: A mapping activity that helps students identify and reflect on the regions used in AP Human Geography classes. Students will be expected to answer some culminating questions after creating their map.

  18. u

    FAMILIES BY TYPE AND PRESENCE OF OWN CHILDREN BGS 2000

    • gstore.unm.edu
    zip
    Updated Feb 14, 2008
    + more versions
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    Earth Data Analysis Center (2008). FAMILIES BY TYPE AND PRESENCE OF OWN CHILDREN BGS 2000 [Dataset]. http://gstore.unm.edu/apps/rgis/datasets/bbccf4f9-00ff-4478-9778-78604702621a/metadata/FGDC-STD-001-1998.html
    Explore at:
    zip(3)Available download formats
    Dataset updated
    Feb 14, 2008
    Dataset provided by
    Earth Data Analysis Center
    Time period covered
    Dec 31, 2000
    Area covered
    New Mexico (35), West Bounding Coordinate -109.050781 East Bounding Coordinate -103.002449 North Bounding Coordinate 37.000313 South Bounding Coordinate 31.332279
    Description

    TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Redistricting Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States and Puerto Rico. The Redistricting Census 2000 TIGER/Line files will not include files for the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Redistricting Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The Redistricting Census 2000 TIGER/Line files do NOT contain the ZIP Code Tabulation Areas (ZCTAs) and the address ranges are of approximately the same vintage as those appearing in the 1999 TIGER/Line files. That is, the Census Bureau is producing the Redistricting Census 2000 TIGER/Line files in advance of the computer processing that will ensure that the address ranges in the TIGER/Line files agree with the final Master Address File (MAF) used for tabulating Census 2000. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Redistricting Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types.

  19. Geography Toolkit - Economic Geography

    • visionzero.geohub.lacity.org
    • library.ncge.org
    Updated Jul 27, 2021
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    NCGE (2021). Geography Toolkit - Economic Geography [Dataset]. https://visionzero.geohub.lacity.org/documents/4fec4bcf542446e2a66873c710ec7a13
    Explore at:
    Dataset updated
    Jul 27, 2021
    Dataset provided by
    National Council for Geographic Educationhttp://www.ncge.org/
    Authors
    NCGE
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Author: Ann Wurst, consultantGrade/Audience: high school, ap human geographyResource type: warm_upSubject topic(s): economics, geographic thinkingRegion: worldStandards: TEXAS WORLD GEOGRAPHY TEKS (19) Social studies skills. The student applies critical-thinking skills to organize and use information acquired through established research methodologies from a variety of valid sources, including technology. The student is expected to: (A) analyze information by sequencing, categorizing, identifying cause-and-effect relationships, comparing, contrasting, finding the main idea, summarizing, making generalizations and predictions, and drawing inferences and conclusions;

    Objectives: Students will be able to use the elements to process/apply information in various formats such as short answers responses, tickets out the door, setting up writing samples for World Geography, AP Human Geography and other courses involving the study of geographic concepts. Students will keep a list of the toolkit 'helpers' in their notebook. Summary: Students can use these 'hooks' in their study of geography, can be applied in every unit where these skills are needed. Helps further critical thinking skills.

  20. Geography Toolkit - OSAE acronym for analysis of photographs

    • library.ncge.org
    Updated Jul 27, 2021
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    NCGE (2021). Geography Toolkit - OSAE acronym for analysis of photographs [Dataset]. https://library.ncge.org/documents/d1f08dbfbaff49e2bcaf7ba7212e96b7
    Explore at:
    Dataset updated
    Jul 27, 2021
    Dataset provided by
    National Council for Geographic Educationhttp://www.ncge.org/
    Authors
    NCGE
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Author: Ann Wurst, consultantGrade/Audience: high school, ap human geographyResource type: warm_up,activitySubject topic(s): geographic thinkingRegion: worldStandards: (19) Social studies skills. The student applies critical-thinking skills to organize and use information acquired through established research methodologies from a variety of valid sources, including technology. The student is expected to: (A) analyze information by sequencing, categorizing, identifying cause-and-effect relationships, comparing, contrasting, finding the main idea, summarizing, making generalizations and predictions, and drawing inferences and conclusions; Objectives: Students will be able to use the elements to process/apply information in various formats such as short answers responses, tickets out the door, setting up writing samples for World Geography, AP Human Geography and other courses involving the study of geographic concepts. Students will keep a list of the toolkit 'helpers' in their notebook. Summary: Students can use these 'hooks' in their study of geography, can be applied in every unit where these skills are needed. Helps further critical thinking skills.

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Close
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Department of Commerce (2024). Geography Lookup API - By Geography Type and Geography Name [Dataset]. https://datasets.ai/datasets/geography-lookup-api-by-geography-type-and-geography-name
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Geography Lookup API - By Geography Type and Geography Name

Explore at:
23Available download formats
Dataset updated
Aug 26, 2024
Dataset provided by
United States Department of Commercehttp://www.commerce.gov/
Authors
Department of Commerce
Description

This API returns geographies by name of a specific geography type.

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