100+ datasets found
  1. Human Geography Map

    • data.baltimorecity.gov
    • esriaustraliahub.com.au
    • +16more
    Updated Feb 2, 2017
    + more versions
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    Esri (2017). Human Geography Map [Dataset]. https://data.baltimorecity.gov/maps/esri::human-geography-map/explore
    Explore at:
    Dataset updated
    Feb 2, 2017
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The Human Geography Map (World Edition) web map provides a detailed vector basemap with a monochromatic style and content adjusted to support Human Geography information. Where possible, the map content has been adjusted so that it observes WCAG contrast criteria.This basemap, included in the ArcGIS Living Atlas of the World, uses 3 vector tile layers:Human Geography Label, a label reference layer including cities and communities, countries, administrative units, and at larger scales street names.Human Geography Detail, a detail reference layer including administrative boundaries, roads and highways, and larger bodies of water. This layer is designed to be used with a high degree of transparency so that the detail does not compete with your information. It is set at approximately 50% in this web map, but can be adjusted.Human Geography Base, a simple basemap consisting of land areas in a very light gray only.The vector tile layers in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Learn more about this basemap from the cartographic designer in Introducing a Human Geography Basemap.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer item referenced in this map.

  2. c

    Human Geography Map

    • cacgeoportal.com
    • hub.arcgis.com
    Updated Apr 2, 2024
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    Central Asia and the Caucasus GeoPortal (2024). Human Geography Map [Dataset]. https://www.cacgeoportal.com/maps/fab47203217543328f50448dd03d90ef
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    Dataset updated
    Apr 2, 2024
    Dataset authored and provided by
    Central Asia and the Caucasus GeoPortal
    Area covered
    Description

    This is a subset of World Biomass Image Layer to focus on Central Asia and Caucasus Region. Use this web map to visualize and understand the Biomass for that region. Use image layer for your analysis. Plants play a central role in the carbon cycle by absorbing carbon dioxide from the atmosphere and incorporating it in the structure of the plant. Globally living plants contain 500 billion metric tons of carbon, more than 60 times the amount of carbon released to the atmosphere by humans each year. Understanding the distribution of the carbon stored in living plants, known as biomass, is key to estimating the effects of land use change on the climate.Dataset SummaryThis layer provides access to a 1-km cell-sized raster with data on the density of carbon stored in living plants in metric tons per hectare for the year 2000. It was published by the Oak Ridge National Laboratory Carbon Dioxide Information Analysis Center in 2008.The authors of these data request that they be cited as:Ruesch, Aaron, and Holly K. Gibbs. 2008. New IPCC Tier-1 Global Biomass Carbon Map For the Year 2000. Available online from the Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee.What can you do with this layer?This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop.This layer has query, identify, and export image services available. This layer is restricted to a maximum area of 16,000 x 16,000 pixels - an area 4,000 kilometers on a side or an area approximately the size of Europe. The Esri Insider Blog provides an introduction to the Ecophysiographic Mapping project.

  3. Human Geography Dark Map

    • indianamap.org
    • noveladata.com
    • +16more
    Updated May 4, 2017
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    Esri (2017). Human Geography Dark Map [Dataset]. https://www.indianamap.org/maps/4f2e99ba65e34bb8af49733d9778fb8e
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    Dataset updated
    May 4, 2017
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The Human Geography Dark Map (World Edition) web map provides a detailed world basemap with a dark monochromatic style and content adjusted to support human geography information. Where possible, the map content has been adjusted so that it observes WCAG contrast criteria.This basemap, included in the ArcGIS Living Atlas of the World, uses 3 vector tile layers:Human Geography Dark Label, a label reference layer including cities and communities, countries, administrative units, and at larger scales street names.Human Geography Dark Detail, a detail reference layer including administrative boundaries, roads and highways, and larger bodies of water. This layer is designed to be used with a high degree of transparency so that the detail does not compete with your information. It is set at approximately 50% in this web map, but can be adjusted.Human Geography Dark Base, a simple basemap consisting of land areas in a very dark gray only.The vector tile layers in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Learn more about this basemap from the cartographic designer in A Dark Version of the Human Geography Basemap.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

  4. Digital Map Market Analysis, Size, and Forecast 2025-2029: North America (US...

    • technavio.com
    Updated Jun 18, 2025
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    Technavio (2025). Digital Map Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, and UK), APAC (China, India, Indonesia, Japan, and South Korea), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/digital-map-market-industry-analysis
    Explore at:
    Dataset updated
    Jun 18, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, United States
    Description

    Snapshot img

    Digital Map Market Size 2025-2029

    The digital map market size is forecast to increase by USD 31.95 billion at a CAGR of 31.3% between 2024 and 2029.

    The market is driven by the increasing adoption of intelligent Personal Digital Assistants (PDAs) and the availability of location-based services. PDAs, such as smartphones and smartwatches, are becoming increasingly integrated with digital map technologies, enabling users to navigate and access real-time information on-the-go. The integration of Internet of Things (IoT) enables remote monitoring of cars and theft recovery. Location-based services, including mapping and navigation apps, are a crucial component of this trend, offering users personalized and convenient solutions for travel and exploration. However, the market also faces significant challenges.
    Ensuring the protection of sensitive user information is essential for companies operating in this market, as trust and data security are key factors in driving user adoption and retention. Additionally, the competition in the market is intense, with numerous players vying for market share. Companies must differentiate themselves through innovative features, user experience, and strong branding to stand out in this competitive landscape. Security and privacy concerns continue to be a major obstacle, as the collection and use of location data raises valid concerns among consumers.
    

    What will be the Size of the Digital Map Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    In the market, cartographic generalization and thematic mapping techniques are utilized to convey complex spatial information, transforming raw data into insightful visualizations. Choropleth maps and dot density maps illustrate distribution patterns of environmental data, economic data, and demographic data, while spatial interpolation and predictive modeling enable the estimation of hydrographic data and terrain data in areas with limited information. Urban planning and land use planning benefit from these tools, facilitating network modeling and location intelligence for public safety and emergency management.

    Spatial regression and spatial autocorrelation analyses provide valuable insights into urban development trends and patterns. Network analysis and shortest path algorithms optimize transportation planning and logistics management, enhancing marketing analytics and sales territory optimization. Decision support systems and fleet management incorporate 3D building models and real-time data from street view imagery, enabling effective resource management and disaster response. The market in the US is experiencing robust growth, driven by the integration of Geographic Information Systems (GIS), Global Positioning Systems (GPS), and advanced computer technology into various industries.

    How is this Digital Map Industry segmented?

    The digital map industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Application
    
      Navigation
      Geocoders
      Others
    
    
    Type
    
      Outdoor
      Indoor
    
    
    Solution
    
      Software
      Services
    
    
    Deployment
    
      On-premises
      Cloud
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        UK
    
    
      APAC
    
        China
        India
        Indonesia
        Japan
        South Korea
    
    
      Rest of World (ROW)
    

    By Application Insights

    The navigation segment is estimated to witness significant growth during the forecast period. Digital maps play a pivotal role in various industries, particularly in automotive applications for driver assistance systems. These maps encompass raster data, aerial photography, government data, and commercial data, among others. Open-source data and proprietary data are integrated to ensure map accuracy and up-to-date information. Map production involves the use of GPS technology, map projections, and GIS software, while map maintenance and quality control ensure map accuracy. Location-based services (LBS) and route optimization are integral parts of digital maps, enabling real-time navigation and traffic data.

    Data validation and map tiles ensure data security. Cloud computing facilitates map distribution and map customization, allowing users to access maps on various devices, including mobile mapping and indoor mapping. Map design, map printing, and reverse geocoding further enhance the user experience. Spatial analysis and data modeling are essential for data warehousing and real-time navigation. The automotive industry's increasing adoption of connected cars and long-term evolution (LTE) technologies have fueled the demand for digital maps. These maps enable driver assistance app

  5. 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
    Explore at:
    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.

  6. GEOGRAPHY TOOLKIT - TODALSIGS -MAP SKILLS/ELEMENTS

    • library.ncge.org
    Updated Jul 27, 2021
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    NCGE (2021). GEOGRAPHY TOOLKIT - TODALSIGS -MAP SKILLS/ELEMENTS [Dataset]. https://library.ncge.org/documents/26b6a0f425ad49e8b7bd885e4f468c1f
    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, NGS TEACHER CONSULTANTGrade/Audience: grade 6, grade 7, grade 8, high school, ap human geography, post secondary, professional developmentResource type: activitySubject topic(s): cartography, maps, regional geographyRegion: worldStandards: TEXAS 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; (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; 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 responses, tickets out the door, setting up writing samples for world geo, AP Human Geo and other courses involving the study of geographic concepts. Summary: Students can use these 'hooks' in their study of cartography/map making , can be applied in every unit where map skills are needed. Helps further critical thinking skills.

  7. Terrain Map Image Pairs

    • kaggle.com
    Updated Nov 19, 2017
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    Thomas Pappas (2017). Terrain Map Image Pairs [Dataset]. https://www.kaggle.com/tpapp157/terrainimagepairs/metadata
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 19, 2017
    Dataset provided by
    Kaggle
    Authors
    Thomas Pappas
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    I created this dataset to train a network to generate realistic looking terrain maps based on simple color region codings. You can see some samples of the result here: https://www.reddit.com/r/MachineLearning/comments/7dwj1q/p_fun_project_mspaint_to_terrain_map_with_gan/

    Content

    This is a dataset of 1360 image pairs. The ground truth image is a random 512x512 pixel crop of terrain from a global map of the Earth. The second image is a color quantized and mode filtered version of the base image to create a very simple terrain region mapping composed of five colors. The five colors correspond to terrain types as follows: blue - water, grey - mountains, green - forest/jungle/marshland, yellow - desert/grassland/glacier, brown - hills/badlands.

  8. d

    Replication Data for: Maps in People’s Heads: Assessing A New Measure of...

    • dataone.org
    Updated Nov 22, 2023
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    Bowers, Jake; Wong, Cara; Rubenson, Daniel; Fredrickson, Mark; Rundlett, Ashlea (2023). Replication Data for: Maps in People’s Heads: Assessing A New Measure of Context [Dataset]. http://doi.org/10.7910/DVN/9XWGHN
    Explore at:
    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Bowers, Jake; Wong, Cara; Rubenson, Daniel; Fredrickson, Mark; Rundlett, Ashlea
    Description

    To understand the relationship between place and politics, we must measure both political attitudes and the ways in which place is represented in the minds of individuals. In this paper, we assess a new measure of mental-representation of geography, in which survey respondents draw their own local communities on maps and describe them. This mapping measure has been used in Canada, the UK, Denmark, and the U.S. so far. We use a panel study in Canada to present evidence that these maps are both valid and reliable measures of a personally relevant geographic area, laying the measurement groundwork for the growing number of studies using this technology. We hope to set efforts to measure ‘place’ for the study of context and politics on firmer footing. Our validity assessments show that individuals are thinking about people and places with which they have regular contact when asked to draw their communities. Our reliability assessments show that people can draw more or less the same map twice, even when the exercise is repeated months later. Finally, we provide evidence that the concept of community is a tangible consideration in the minds of ordinary citizens and is not simply a normative aspiration or motivation.

  9. Mobile Map Market by Application, End-user, and Geography - Forecast and...

    • technavio.com
    Updated Nov 21, 2021
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    Technavio (2021). Mobile Map Market by Application, End-user, and Geography - Forecast and Analysis 2021-2025 [Dataset]. https://www.technavio.com/report/mobile-map-market-industry-analysis
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    Dataset updated
    Nov 21, 2021
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global
    Description

    Snapshot img

    The mobile map market share is expected to increase by USD 6.73 billion from 2020 to 2025, and the market’s growth momentum will accelerate at a CAGR of 18.41%. This mobile map market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. The mobile map market report also offers information on several market vendors, including Alibaba Group Holding Ltd., Alphabet Inc., Apple Inc., CE Info. Pvt. Ltd., Environmental Systems Research Institute Inc., HERE Global BV, Microsoft Corp., NavInfo Co. Ltd., TomTom International BV, and Verizon Communications Inc. among others. Furthermore, this report extensively covers mobile map market segmentation by application (outdoor mobile map and indoor mobile map), end-user (automotive navigation, mobile and internet, and public sector and enterprise), and geography (APAC, North America, Europe, South America, and MEA).

    What will the Mobile Map Market Size be During the Forecast Period?

    Download the Free Report Sample to Unlock the Mobile Map Market Size for the Forecast Period and Other Important Statistics

    Mobile Map Market: Key Drivers, Trends, and Challenges

    Based on our research output, there has been a positive impact on the market growth during and post COVID-19 era. The increasing adoption of technologically advanced mobile devices is notably driving the mobile map market growth, although factors such as threat from open-source platform may impede market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the mobile map industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

    Key Mobile Map Market Driver

    The increasing adoption of technologically advanced mobile devices is one of the primary factors driving the mobile map market growth. The growing penetration of advanced mobile devices has increased the use of location-based services (LBS). To support this, mobile device manufacturers are introducing new devices that can integrate location-based applications such as GPS-enabled applications. In addition, individuals rely on such devices to obtain information such as traffic updates, directions to nearby locations, and real-time information such as weather forecasts. All these GPS-based applications are built on digital maps. Furthermore, the growth in connected devices will drive the demand for mobile maps globally to enable seamless navigation.

    Key Mobile Map Market Trend

    The development of indigenous mapping systems is one of the major mobile map market trends. This trend is growing significantly in Brazil, Russia, China, and India. Governments are encouraging regional mobile map makers to develop mobile map solutions that are country-specific. This trend is further supported by advanced mapping technology, which can develop accurate 3D digital maps.

    Key Mobile Map Market Challenge

    The growing popularity of open-source solutions has an adverse effect on the net sales of commercial mobile map solutions. The inflated cost of mobile map solutions has increased the demand for open-source mobile map applications in the market, especially in emerging countries such as China and India. These nations consist of many SMEs that require mobile map solutions but do not have sufficient capital to invest in customized mobile map technology. Therefore, open-source mobile map solutions have become a preferred choice among them. Many automobile companies also prefer open-source mobile map solutions in their vehicles. Large companies, as a part of the cost reduction, now prefer using open-source mobile map solutions compared with commercial mobile map solutions.

    This mobile map market analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2021-2025.

    Who are the Major Mobile Map Market Vendors?

    The report analyzes the market’s competitive landscape and offers information on several market vendors, including:

    Alibaba Group Holding Ltd.
    Alphabet Inc.
    Apple Inc.
    CE Info. Pvt. Ltd.
    Environmental Systems Research Institute Inc.
    HERE Global BV
    Microsoft Corp.
    NavInfo Co. Ltd.
    TomTom International BV
    Verizon Communications Inc.
    

    This statistical study of the mobile map market encompasses successful business strategies deployed by the key vendors. The mobile mapping market is fragmented and the vendors are deploying growth strategies such as M&A activities to compete in the market.

    To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in

  10. Human Geography Label

    • hub.arcgis.com
    • cacgeoportal.com
    • +1more
    Updated Nov 3, 2017
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    Esri (2017). Human Geography Label [Dataset]. https://hub.arcgis.com/maps/ba52238d338745b1a355407ec9df6768
    Explore at:
    Dataset updated
    Nov 3, 2017
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This vector tile layer presents the Human Geography Label style (World Edition) and provides a detailed vector basemap for world labels designed to draw attention to your thematic content. This is similar in content and style to the popular Light Gray Canvas map. The map includes labels for highways, major roads, minor roads, water features, cities, landmarks, and administrative boundaries. This vector tile layer provides unique capabilities for customization, high-resolution display, and use in mobile devices.This vector tile layer is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.This layer is used in the Human Geography Map web map included in ArcGIS Living Atlas of the World.See the Vector Basemaps group for other vector tile layers. Customize this StyleLearn more about customizing this vector basemap style using the Vector Tile Style Editor. Additional details are available in ArcGIS Online Blogs and the Esri Vector Basemaps Reference Document.

  11. A

    Understanding World Regional Geography-Climate

    • data.amerigeoss.org
    • amerigeo.org
    • +8more
    esri rest, html
    Updated Apr 25, 2018
    + more versions
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    AmeriGEO ArcGIS (2018). Understanding World Regional Geography-Climate [Dataset]. https://data.amerigeoss.org/km/dataset/understanding-world-regional-geography-climate
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    html, esri restAvailable download formats
    Dataset updated
    Apr 25, 2018
    Dataset provided by
    AmeriGEO ArcGIS
    Description
    book cover
    Interactive web map for Understanding World Regional Geography, 1st Edition.

    Fouberg, Erin H., and William G. Moseley. Understanding World Regional Geography. 1st ed. John Wiley & Sons, 2015.

  12. 10 powerful tools and maps with which to teach about population and...

    • library.ncge.org
    Updated Jul 27, 2021
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    NCGE (2021). 10 powerful tools and maps with which to teach about population and demographics [Dataset]. https://library.ncge.org/documents/bae1d5f1cba243ea88d09b043b8444ee
    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: Joseph Kerski, post_secondary_educator, Esri and University of DenverGrade/Audience: high school, ap human geography, post secondary, professional developmentResource type: lessonSubject topic(s): population, maps, citiesRegion: africa, asia, australia oceania, europe, north america, south america, united states, worldStandards: All APHG population tenets. Geography for Life cultural and population geography standards. Objectives: 1. Understand how population change and demographic characteristics are evident at a variety of scales in a variety of places around the world. 2. Understand the whys of where through analysis of change over space and time. 3. Develop skills using spatial data and interactive maps. 4. Understand how population data is communicated using 2D and 3D maps, visualizations, and symbology. Summary: Teaching and learning about demographics and population change in an effective, engaging manner is enriched and enlivened through the use of web mapping tools and spatial data. These tools, enabled by the advent of cloud-based geographic information systems (GIS) technology, bring problem solving, critical thinking, and spatial analysis to every classroom instructor and student (Kerski 2003; Jo, Hong, and Verma 2016).

  13. Library of Congress Geography and Maps Division Map Collections

    • datadiscoverystudio.org
    html
    Updated Jun 27, 2018
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    US Library of Congress; Geography and Maps Division Map Collections (2018). Library of Congress Geography and Maps Division Map Collections [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/bff3308e2b4844819b1907b8deab65da/html
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jun 27, 2018
    Dataset provided by
    Library of Congress
    Authors
    US Library of Congress; Geography and Maps Division Map Collections
    Area covered
    Description

    URL from idinfo/citation in CSDGM metadata.

  14. d

    Data from: Digital Mapping For the Rest of Us: A Brief Look at PCensus for...

    • dataone.org
    Updated Dec 28, 2023
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    Jeff Moon (2023). Digital Mapping For the Rest of Us: A Brief Look at PCensus for MapPoint [Dataset]. http://doi.org/10.5683/SP3/DC88XN
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Jeff Moon
    Description

    For many years, Queen's has been using PCensus and PCensus for MapPoint. This product provides 1981 through 2001 Census profile data to the EA/DA level with the added feature of extracting 'non-standard' geography (i.e. circles, polygons, and drive-time polygons). This session will give an overview of the software's capabilities.

  15. Data from: Digital Surface Model (DSM) from 2005 LiDAR for the Green Lakes...

    • search.dataone.org
    • portal.edirepository.org
    Updated Mar 11, 2015
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    Robert Anderson (2015). Digital Surface Model (DSM) from 2005 LiDAR for the Green Lakes Valley, Colorado [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-nwt%2F735%2F2
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    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Robert Anderson
    Time period covered
    Sep 29, 2005
    Area covered
    Description

    This 1m Digital Surface Model (DSM) is derived from first-stop Light Detection and Ranging (LiDAR) point cloud data from September 2005 for the Green Lakes Valley, near Boulder Colorado. The DSM was created from LiDAR point cloud tiles subsampled to 1-meter postings, acquired by the National Center for Airborne Laser Mapping (NCALM) project. This data was collected in collaboration between the University of Colorado, Institute of Arctic and Alpine Research (INSTAAR) and NCALM, which is funded by the National Science Foundation (NSF). The DSM has the functionality of a map layer for use in Geographic Information Systems (GIS) or remote sensing software. Total area imaged is 35 km^2. The LiDAR point cloud data was acquired with an Optech 1233 Airborne Laser Terrain Mapper (ALTM) and mounted in a twin engine Piper Chieftain (N931SA) with Inertial Measurement Unit (IMU) at a flying height of 600 m. Data from two GPS (Global Positioning System) ground stations were used for aircraft trajectory determination. The continuous DSM surface was created by mosaicing and then kriging 1 km2 LiDAR point cloud LAS-formated tiles using Golden Software's Surfer 8 Kriging algorithm. Horizontal accuracy and vertical accuracy is unknown. cm RMSE at 1 sigma. The layer is available in GEOTIF format approx. 265 MB of data. It has a UTM zone 13 projection, with a NAD83 horizonal datum and a NAVD88 vertical datum computed using NGS GEOID03 model, with FGDC-compliant metadata. A shaded relief model was also generated. A similar layer, the Digital Terrain Model (DTM), is a ground-surface elevation dataset better suited for derived layers such as slope angle, aspect, and contours. A processing report and readme file are included with this data release. The DSM is available through an unrestricted public license. The LiDAR DEMs will be of interest to land managers, scientists, and others for study of topography, ecosystems, and environmental change. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.

  16. Data from: Digital Surface Model (DSM) shaded relief from 2005 LiDAR for the...

    • search.dataone.org
    • portal.edirepository.org
    Updated Apr 11, 2019
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    Robert Anderson (2019). Digital Surface Model (DSM) shaded relief from 2005 LiDAR for the Green Lakes Valley, Colorado [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-nwt%2F736%2F2
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    Dataset updated
    Apr 11, 2019
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Robert Anderson
    Time period covered
    Sep 29, 2005
    Area covered
    Description

    This 1m Digital Surface Model (DSM) shaded relief is derived from first-stop Light Detection and Ranging (LiDAR) point cloud data from September 2005 for the Green Lakes Valley, near Boulder Colorado. The DSM was created from LiDAR point cloud tiles subsampled to 1-meter postings, acquired by the National Center for Airborne Laser Mapping (NCALM) project. This data was collected in collaboration between the University of Colorado, Institute of Arctic and Alpine Research (INSTAAR) and NCALM, which is funded by the National Science Foundation (NSF). The DSM shaded relief has the functionality of a map layer for use in Geographic Information Systems (GIS) or remote sensing software. Total area imaged is 35 km^2. The LiDAR point cloud data was acquired with an Optech 1233 Airborne Laser Terrain Mapper (ALTM) and mounted in a twin engine Piper Chieftain (N931SA) with Inertial Measurement Unit (IMU) at a flying height of 600 m. Data from two GPS (Global Positioning System) ground stations were used for aircraft trajectory determination. The continuous DSM surface was created by mosaicing and then kriging 1 km2 LiDAR point cloud LAS-formated tiles using Golden Software's Surfer 8 Kriging algorithm. Horizontal accuracy and vertical accuracy is unknown. cm RMSE at 1 sigma. The layer is available in GEOTIF format approx. 265 MB of data. It has a UTM zone 13 projection, with a NAD83 horizonal datum and a NAVD88 vertical datum computed using NGS GEOID03 model, with FGDC-compliant metadata. This shaded relief model was also generated. A similar layer, the Digital Terrain Model (DTM), is a ground-surface elevation dataset better suited for derived layers such as slope angle, aspect, and contours. A processing report and readme file are included with this data release. The DSM dataset is available through an unrestricted public license. The LiDAR DEMs will be of interest to land managers, scientists, and others for study of topography, ecosystems, and environmental change. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.

  17. g

    Library of Congress: Geography and Maps Division - Map Collections

    • data.geospatialhub.org
    Updated Jul 29, 2022
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    WyomingGeoHub (2022). Library of Congress: Geography and Maps Division - Map Collections [Dataset]. https://data.geospatialhub.org/items/c0f7d29a9f7040f69b1aae084ed19824
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    Dataset updated
    Jul 29, 2022
    Dataset authored and provided by
    WyomingGeoHub
    Description

    Metadata record for the Library of Congress' Map Collections website; link in record. These images were created from maps and atlases and, in general, are restricted to items that are not covered by copyright protection. Map Collections is organized according to seven major categories. Searching the map collection for maps referencing Wyoming can be found in the 'Conservation and Environment' and 'Discovery and Exploration' sections specifically at this time.

  18. Data from: The mapping behind the movement: On recovering the critical...

    • library.ncge.org
    Updated Apr 26, 2021
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    NCGE (2021). The mapping behind the movement: On recovering the critical cartographies of the African American Freedom Struggle [Dataset]. https://library.ncge.org/documents/037bc3499009453186ad18cb6e4eec20
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    Dataset updated
    Apr 26, 2021
    Dataset provided by
    National Council for Geographic Educationhttp://www.ncge.org/
    Authors
    NCGE
    License

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

    Area covered
    United States
    Description

    Derek H. Alderman, Joshua F.J. Inwood, Ethan BottoneThe mapping behind the movement: On recovering the critical cartographies of the African American Freedom Struggle,Geoforum,Volume 120,2021,Pages 67-78,ISSN 0016-7185,https://doi.org/10.1016/j.geoforum.2021.01.022.(https://www.sciencedirect.com/science/article/pii/S0016718521000300)Abstract: Responding to recent work in critical cartographic studies and Black Geographies, the purpose of this paper is to offer a conceptual framework and a set of evocative cartographic engagements that can inform geography as it recovers the seldom discussed history of counter-mapping within the African American Freedom Struggle. Black resistant cartographies stretch what constitutes a map, the political work performed by maps, and the practices, spaces, and political-affective dimensions of mapping. We offer an extended illustration of the conventional and unconventional mapping behind USA anti-lynching campaigns of the late 19th and early 20th centuries, highlighting the knowledge production practices of the NAACP and the Tuskegee Institute’s Monroe Work, and the embodied counter-mapping of journalist/activist Ida B. Wells. Recognizing that civil rights struggles are long, always unfolding, and relationally tied over time and space, we link this look from the past to contemporary, ongoing resistant cartographical practices as scholars/activists continue to challenge racialized violence and advance transitional justice, including the noted memory-work of the Equal Justice Initiative. An understanding of African American traditions of counter-mapping is about more than simply inserting the Black experience into our dominant ideas about cartography or even resistant mapping. Black geographies has much to teach cartography and geographers about what people of color engaged in antiracist struggles define as geographic knowledge and mapping practices on their own terms—hopefully provoking a broader and more inclusive definition of the discipline itself.Keywords: African American; Anti-lynching; Black geographies; Civil rights; Counter-mapping; Critical cartography

  19. n

    Using Google Maps To Apply Urban Models

    • library.ncge.org
    Updated Jul 27, 2021
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    NCGE (2021). Using Google Maps To Apply Urban Models [Dataset]. https://library.ncge.org/documents/c492f066f3dc45d1a5e231b72036a5d2
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    Dataset updated
    Jul 27, 2021
    Dataset authored and provided by
    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: J Benolkin, educator, Minnesota Alliance for Geographic EducationGrade/Audience: high schoolResource type: lessonSubject topic(s): urban geography, gisRegion: united statesStandards: Minnesota Social Studies Standards

    Standard 1. People use geographic representations and geospatial technologies to acquire, process and report information within a spatial context.

    Standard 6. Geographic factors influence the distribution, functions, growth and patterns of cities and human settlements.Objectives: Students will be able to:

    1. Create a custom map using Google Maps.
    2. Apply one of three urban models to a U.S. city or urban area.Summary: This lesson follows an introduction to Urban Models. It asks students to apply the urban models of Concentric Zone, Sector, and Multi-Nuclei to U.S. cities.
  20. H

    Replication Data for: Mapping News Geography: A Computational Framework for...

    • dataverse.harvard.edu
    Updated Jul 23, 2025
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    Simona Bisiani; Agnes Gulyas; Bahareh Heravi (2025). Replication Data for: Mapping News Geography: A Computational Framework for Classifying Local Media Through Geographic Coverage Patterns [Dataset]. http://doi.org/10.7910/DVN/T7SE5F
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 23, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Simona Bisiani; Agnes Gulyas; Bahareh Heravi
    License

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

    Description

    This is replication data for "Mapping News Geography: A Computational Framework for Classifying Local Media Through Geographic Coverage Patterns". Instructions for usage and code can be found at the following GitHub repository: https://github.com/simonabisiani/geographic-local-media-classifier

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Esri (2017). Human Geography Map [Dataset]. https://data.baltimorecity.gov/maps/esri::human-geography-map/explore
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Human Geography Map

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172 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 2, 2017
Dataset authored and provided by
Esrihttp://esri.com/
Area covered
Description

The Human Geography Map (World Edition) web map provides a detailed vector basemap with a monochromatic style and content adjusted to support Human Geography information. Where possible, the map content has been adjusted so that it observes WCAG contrast criteria.This basemap, included in the ArcGIS Living Atlas of the World, uses 3 vector tile layers:Human Geography Label, a label reference layer including cities and communities, countries, administrative units, and at larger scales street names.Human Geography Detail, a detail reference layer including administrative boundaries, roads and highways, and larger bodies of water. This layer is designed to be used with a high degree of transparency so that the detail does not compete with your information. It is set at approximately 50% in this web map, but can be adjusted.Human Geography Base, a simple basemap consisting of land areas in a very light gray only.The vector tile layers in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Learn more about this basemap from the cartographic designer in Introducing a Human Geography Basemap.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer item referenced in this map.

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