100+ datasets found
  1. Open-Source GIScience Online Course

    • ckan.americaview.org
    Updated Nov 2, 2021
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    ckan.americaview.org (2021). Open-Source GIScience Online Course [Dataset]. https://ckan.americaview.org/dataset/open-source-giscience-online-course
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    Dataset updated
    Nov 2, 2021
    Dataset provided by
    CKANhttps://ckan.org/
    License

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

    Description

    In this course, you will explore a variety of open-source technologies for working with geosptial data, performing spatial analysis, and undertaking general data science. The first component of the class focuses on the use of QGIS and associated technologies (GDAL, PROJ, GRASS, SAGA, and Orfeo Toolbox). The second component of the class introduces Python and associated open-source libraries and modules (NumPy, Pandas, Matplotlib, Seaborn, GeoPandas, Rasterio, WhiteboxTools, and Scikit-Learn) used by geospatial scientists and data scientists. We also provide an introduction to Structured Query Language (SQL) for performing table and spatial queries. This course is designed for individuals that have a background in GIS, such as working in the ArcGIS environment, but no prior experience using open-source software and/or coding. You will be asked to work through a series of lecture modules and videos broken into several topic areas, as outlined below. Fourteen assignments and the required data have been provided as hands-on opportunites to work with data and the discussed technologies and methods. If you have any questions or suggestions, feel free to contact us. We hope to continue to update and improve this course. This course was produced by West Virginia View (http://www.wvview.org/) with support from AmericaView (https://americaview.org/). This material is based upon work supported by the U.S. Geological Survey under Grant/Cooperative Agreement No. G18AP00077. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the opinions or policies of the U.S. Geological Survey. Mention of trade names or commercial products does not constitute their endorsement by the U.S. Geological Survey. After completing this course you will be able to: apply QGIS to visualize, query, and analyze vector and raster spatial data. use available resources to further expand your knowledge of open-source technologies. describe and use a variety of open data formats. code in Python at an intermediate-level. read, summarize, visualize, and analyze data using open Python libraries. create spatial predictive models using Python and associated libraries. use SQL to perform table and spatial queries at an intermediate-level.

  2. 07.0 Data QC with ArcGIS: Visual Review

    • training-iowadot.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Feb 23, 2017
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    Iowa Department of Transportation (2017). 07.0 Data QC with ArcGIS: Visual Review [Dataset]. https://training-iowadot.opendata.arcgis.com/documents/c9450ca88b084800bdc6f82bc69ec27f
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    Dataset updated
    Feb 23, 2017
    Dataset authored and provided by
    Iowa Department of Transportationhttps://iowadot.gov/
    License

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

    Description

    How do you ensure your data is free of errors? While you may already leverage ArcGIS Data Reviewer for its automated validation capabilities, you might ocassionally encounter problems with certain challenging subsets of features. For example, think about a situation in which you expected an automated data check to return a certain error but it did not. You tried configuring the check over and over again, but did not figure out a method of automatically detecting the error.Visual review can help. Manually reviewing your data provides a way to find errors that are difficult to detect using automated methods, such as features that are missing, misplaced, miscoded, or redundant.The following graphic shows the topics that will be covered throughout the course. You will learn the associated workflows that take advantage of ArcGIS Data Reviewer functionality.After completing this course, you will be able to:Determine situations in which visual review is appropriate.Analyze a statistically significant sample.Create a QC grid and perform a systematic visual review.Indicate missing, misplaced, miscoded, or redundant features.Recognize how to find changes between versions.

  3. OpenStreetMap (Blueprint)

    • catalog.data.gov
    • gimi9.com
    • +9more
    Updated Jun 8, 2024
    + more versions
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    Esri (2024). OpenStreetMap (Blueprint) [Dataset]. https://catalog.data.gov/dataset/openstreetmap-blueprint-653c6
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    Dataset updated
    Jun 8, 2024
    Dataset provided by
    Esrihttp://esri.com/
    Description

    This web map features a vector basemap of OpenStreetMap (OSM) data created and hosted by Esri. Esri produced this vector tile basemap in ArcGIS Pro from a live replica of OSM data, hosted by Esri, and rendered using a creative cartographic style emulating a blueprint technical drawing. The vector tiles are updated every few weeks with the latest OSM data. This vector basemap is freely available for any user or developer to build into their web map or web mapping apps.OpenStreetMap (OSM) is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project and is excited to make this new vector basemap available available to the OSM, GIS, and Developer communities.

  4. OpenStreetMap

    • cacgeoportal.com
    • data.baltimorecity.gov
    • +32more
    Updated Jul 7, 2023
    + more versions
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    Esri (2023). OpenStreetMap [Dataset]. https://www.cacgeoportal.com/maps/1c071fcf8ff2448599b0547116e2de55
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    Dataset updated
    Jul 7, 2023
    Dataset authored and provided by
    Esrihttp://esri.com/
    Description

    This 3D basemap presents OpenStreetMap (OSM) data and other data sources and is hosted by Esri using the OpenStreetMap style.Esri created the Places and Labels, Trees, and OpenStreetMap layers from the Daylight map distribution of OSM data, which is supported by Facebook and supplemented with additional data from Microsoft. OpenStreetMap (OSM) is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project and is excited to make this new scene available to the OSM, GIS, and Developer communities.The Buildings layer (beta) presents open buildings data that has been processed and hosted by Esri. Esri created this buildings scene layer using data from the Overture Maps Foundation (OMF) which is supported by Meta, Microsoft, Amazon, TomTom, Esri and other members. Overture includes data from many sources, including OpenStreetMap (OSM). The 3D buildings layer will be updated each month with the latest version of Overture data, which includes the latest updates from OSM, Esri Community Maps, and other sources.Overture Maps is a collaborative project to create reliable, easy-to-use, and interoperable open map data. Member companies work to bring together the best available open datasets, and the resulting data can be downloaded from Microsoft Azure or Amazon S3. Esri is a member of the OMF project and is excited to make this 3D web scene available to the ArcGIS user community.

  5. n

    13 - Finding Mango street - Esri GeoInquiries collection for American...

    • library.ncge.org
    • geoinquiries-education.hub.arcgis.com
    • +1more
    Updated Jun 8, 2020
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    NCGE (2020). 13 - Finding Mango street - Esri GeoInquiries collection for American Literature [Dataset]. https://library.ncge.org/documents/8e955d32b6bd4eb2bbb7b4aa40247b7b
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    Dataset updated
    Jun 8, 2020
    Dataset authored and provided by
    NCGE
    Description

    THE GEOINQUIRIES™ COLLECTION FOR AMERICAN LITERATURE

    http://www.esri.com/geoinquiries

    The Esri GeoInquiry™ collection for American Literature contains 15 free, standards-based activities that correspond and extend map-based concepts found in course texts frequently used in high school literature. The activities use a common inquiry-based instructional model, require only 15 minutes to deliver, and are device/laptop agnostic. Each activity includes an ArcGIS Online map but requires no login or installation. The activities harmonize with the Common Core ELA national curriculum standards.

    All American Literature GeoInquiries™ can be found at: http://esriurl.com/litGeoInquiries

    All GeoInquiries™ can be found at: http://www.esri.com/geoinquiries

  6. M

    DNR Toolbox for ArcGIS 10

    • gisdata.mn.gov
    esri_toolbox
    Updated May 25, 2024
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    Natural Resources Department (2024). DNR Toolbox for ArcGIS 10 [Dataset]. https://gisdata.mn.gov/dataset/dnr-arcgis-toolbox
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    esri_toolboxAvailable download formats
    Dataset updated
    May 25, 2024
    Dataset provided by
    Natural Resources Department
    Description

    The Minnesota DNR Toolbox and Hydro Tools provide a number of convenience geoprocessing tools used regularly by MNDNR staff. Many of these may be useful to the wider public. However, some tools may rely on data that is not available outside of the DNR. All tools require at least ArcGIS 10+.

    If you create a GDRS using GDRS Manager and include this toolbox resource and MNDNR Quick Layers, the DNR toolboxes will automatically be added to the ArcToolbox window whenever Quick Layers GDRS Location is set to the GDRS location that has the toolboxes.

    Toolsets included in MNDNR Tools V10:
    - Analysis Tools
    - Conversion Tools
    - Division Tools
    - General Tools
    - Hydrology Tools
    - LiDAR and DEM Tools
    - Raster Tools
    - Sampling Tools

    These toolboxes are provided free of charge and are not warrantied for any specific use. We do not provide support or assistance in downloading or using these tools. We do, however, strive to produce high-quality tools and appreciate comments you have about them.

  7. 06 - Distance and midpoint - Esri GeoInquiries™ collection for Mathematics

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Apr 5, 2017
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    Esri GIS Education (2017). 06 - Distance and midpoint - Esri GeoInquiries™ collection for Mathematics [Dataset]. https://hub.arcgis.com/documents/04624073da0945d08683d73645b7d149
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    Dataset updated
    Apr 5, 2017
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri GIS Education
    Description

    Site a water tower shared by two towns at the midpoint and determine the costs involved using the Pythagorean theorem. THE GEOINQUIRIES™ COLLECTION FOR MATHEMATICShttp://www.esri.com/geoinquiriesThe GeoInquiry™ collection for Mathematics contains 15 free, standards-based activities that correspond and extend spatial concepts found in course textbooks frequently used in introductory algebra or geometry classes. The activities use a common inquiry-based instructional model, require only 15 minutes to deliver, and are device/laptop agnostic. Each activity includes an ArcGIS Online map but requires no login or installation. The activities harmonize with the Common Core math national curriculum standards. Activities include:· Rates & Proportions: A lost beach· D=R x T· Linear rate of change: Steady growth· How much rain? Linear equations· Rates of population change· Distance and midpoint· The coordinate plane· Euclidean vs Non-Euclidean· Area and perimeter at the mall· Measuring crop circles· Area of complex figures· Similar triangles· Perpendicular bisectors· Centers of triangles· Volume of pyramids

    Teachers, GeoMentors, and school administrators can learn more at http://www.esri.com/geoinquiries.

  8. n

    05 - Trade and the Black Death - Esri GeoInquiries collection for World...

    • library.ncge.org
    Updated Jun 8, 2020
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    NCGE (2020). 05 - Trade and the Black Death - Esri GeoInquiries collection for World History [Dataset]. https://library.ncge.org/datasets/05-trade-and-the-black-death-esri-geoinquiries-collection-for-world-history
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    Dataset updated
    Jun 8, 2020
    Dataset authored and provided by
    NCGE
    Description

    THE GEOINQUIRIES™ COLLECTION FOR U.S. History

    http://www.esri.com/geoinquiries

    The GeoInquiry™ collection for World History contains 15 free, standards-based activities that correspond and extend spatial concepts found in course textbooks frequently used in introductory world history classes. The activities use a common inquiry-based instructional model, require only 15 minutes to deliver, and are device/laptop agnostic. Each activity includes an ArcGIS Online map but requires no login or installation. The activities harmonize with the C3 Framework for social studies curriculum standards.

    All World History GeoInquiries™ can be found at: http://esriurl.com/worldHistoryGeoInquiries

    All GeoInquiries™ can be found at: http://www.esri.com/geoinquiries

  9. Esri and FEMA Provide Free Access to Data and Mapping Technology in Response...

    • coronavirus-resources.esri.com
    Updated Apr 14, 2020
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    Esri’s Disaster Response Program (2020). Esri and FEMA Provide Free Access to Data and Mapping Technology in Response to COVID-19 [Dataset]. https://coronavirus-resources.esri.com/datasets/esri-and-fema-provide-free-access-to-data-and-mapping-technology-in-response-to-covid-19
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    Dataset updated
    Apr 14, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri’s Disaster Response Program
    Description

    Esri and FEMA Provide Free Access to Data and Mapping Technology in Response to COVID-19Advanced Software Solutions to Aid Non-Federal Governmental Entities.Esri, the global leader in mapping and location intelligence, today announced that it has been working closely with the Federal Emergency Management Agency (FEMA) to provide its mapping and analytics technology in support of an integrated, multi-agency geospatial platform for supporting COVID-19 response. This includes distribution of its technology to FEMA partner entities and organizations across the country._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

  10. n

    08 - The Reformation - Esri GeoInquiries collection for World History

    • library.ncge.org
    Updated Jun 8, 2020
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    NCGE (2020). 08 - The Reformation - Esri GeoInquiries collection for World History [Dataset]. https://library.ncge.org/documents/47074f17af454dbab95bb7c7f8b512f1
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    Dataset updated
    Jun 8, 2020
    Dataset authored and provided by
    NCGE
    Description

    THE GEOINQUIRIES™ COLLECTION FOR U.S. History

    http://www.esri.com/geoinquiries

    The GeoInquiry™ collection for World History contains 15 free, standards-based activities that correspond and extend spatial concepts found in course textbooks frequently used in introductory world history classes. The activities use a common inquiry-based instructional model, require only 15 minutes to deliver, and are device/laptop agnostic. Each activity includes an ArcGIS Online map but requires no login or installation. The activities harmonize with the C3 Framework for social studies curriculum standards.

    All World History GeoInquiries™ can be found at: http://esriurl.com/worldHistoryGeoInquiries

    All GeoInquiries™ can be found at: http://www.esri.com/geoinquiries

  11. Searching for and adding map layers in ArcGIS Online

    • teachwithgis.co.uk
    Updated Feb 18, 2020
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    Esri UK Education (2020). Searching for and adding map layers in ArcGIS Online [Dataset]. https://teachwithgis.co.uk/datasets/searching-for-and-adding-map-layers-in-arcgis-online-1
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    Dataset updated
    Feb 18, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri UK Education
    Description

    Click here to open the ArcGIS Online Map Viewer and work through the examples shown belowTo add data to ArcGIS Online we reccomend that you log in. For full functionality use a free schools subscription, or if this is not possible you can use a free public account which will have reduced functionality.

  12. Saving and sharing 3D maps in ArcGIS Online

    • teachwithgis.co.uk
    Updated Feb 21, 2020
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    Esri UK Education (2020). Saving and sharing 3D maps in ArcGIS Online [Dataset]. https://teachwithgis.co.uk/datasets/saving-and-sharing-3d-maps-in-arcgis-online
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    Dataset updated
    Feb 21, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri UK Education
    Description

    Click here to open the ArcGIS Online 3D Map Viewer and work through the examples shown belowTo add 3D data to ArcGIS Online you will need a login for an ArcGIS Online account. We would recommend that you use a free schools subscription (full functionality) or the free public account (reduced functionality).Login to ArcGIS OnlineFind Mount Everest and save the 3D map so that it opens with an amazing view of the mountainShare your 3D map with a friend or colleague and get some feed back

  13. All Chapters Tutorial Data

    • hub.arcgis.com
    Updated Jun 14, 2020
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    Esri Tutorials (2020). All Chapters Tutorial Data [Dataset]. https://hub.arcgis.com/datasets/9f9984c3eadd420689cbeced693292b2
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    Dataset updated
    Jun 14, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Tutorials
    Description

    Total file size: about 367M in zip format and about 600M after extracted. (To download: click the Download button at the upper right area of this page)Alternatively, you can download the data by chapters:- Go to https://go.esri.com/gtkwebgis4- Under Group Categories on the left, click each chapter, you will see the data file to download for that chapter.

  14. d

    California State Waters Map Series--Offshore of Point Conception Web...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). California State Waters Map Series--Offshore of Point Conception Web Services [Dataset]. https://catalog.data.gov/dataset/california-state-waters-map-series-offshore-of-point-conception-web-services
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Point Conception, California
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Point Conception map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore of Point Conception map area data layers. Data layers are symbolized as shown on the associated map sheets.

  15. Adding and working with 3D layers in ArcGIS Online

    • teachwithgis.co.uk
    Updated Feb 19, 2020
    + more versions
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    Esri UK Education (2020). Adding and working with 3D layers in ArcGIS Online [Dataset]. https://teachwithgis.co.uk/datasets/adding-and-working-with-3d-layers-in-arcgis-online
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    Dataset updated
    Feb 19, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri UK Education
    Description

    Click here to open the ArcGIS Online 3D Map Viewer and work through the examples shown belowTo add 3D data to ArcGIS Online you will need a login for an ArcGIS Online account. We would recommend that you use a free schools subscription (full functionality) or the free public account (reduced functionality).Login to ArcGIS OnlineSearch for layers in ArcGIS Online:

  16. 03 - Linear rate of change: Steady growth - Esri GeoInquiries™ collection...

    • hub.arcgis.com
    • geoinquiries-education.hub.arcgis.com
    Updated May 16, 2017
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    Esri GIS Education (2017). 03 - Linear rate of change: Steady growth - Esri GeoInquiries™ collection for Mathematics [Dataset]. https://hub.arcgis.com/documents/6abfb4be00494e708c35bf92e2268009
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    Dataset updated
    May 16, 2017
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri GIS Education
    Description

    While population growth is often associated with exponential functions, this activity explores a linear model for one Michigan county. THE GEOINQUIRIES™ COLLECTION FOR MATHEMATICShttp://www.esri.com/geoinquiriesThe GeoInquiry™ collection for Mathematics contains 15 free, standards-based activities that correspond and extend spatial concepts found in course textbooks frequently used in introductory algebra or geometry classes. The activities use a common inquiry-based instructional model, require only 15 minutes to deliver, and are device/laptop agnostic. Each activity includes an ArcGIS Online map but requires no login or installation. The activities harmonize with the Common Core math national curriculum standards. Activities include:· Rates & Proportions: A lost beach· D=R x T· Linear rate of change: Steady growth· How much rain? Linear equations· Rates of population change· Distance and midpoint· The coordinate plane· Euclidean vs Non-Euclidean· Area and perimeter at the mall· Measuring crop circles· Area of complex figures· Similar triangles· Perpendicular bisectors· Centers of triangles· Volume of pyramids

    Teachers, GeoMentors, and school administrators can learn more at http://www.esri.com/geoinquiries.

  17. w

    Washington Division of Geology and Earth Resources, 2010, Ground Response

    • data.wu.ac.at
    zip
    Updated Dec 5, 2017
    + more versions
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    (2017). Washington Division of Geology and Earth Resources, 2010, Ground Response [Dataset]. https://data.wu.ac.at/schema/geothermaldata_org/ODUyOGJiM2QtMGE3Yy00NzE2LTliYjQtNWM2YzliM2M0NGUz
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    zipAvailable download formats
    Dataset updated
    Dec 5, 2017
    Area covered
    08d2f4b594d98d2aa77e6b34d15b578029e4e26c
    Description

    Ground response--GIS data, June 2010. Downloadable GIS data includes: One ESRI ArcGIS 9.3 geodatabase, consisting of a set of 4 feature classes; Metadata for each feature class, in HTML format (for ease of reading outside of GIS software); One ArcGIS map document (ending in the .mxd extension), containing specifications for data presentation in ArcMap; One ArcGIS layer file for each feature class (ending in the .lyr extension), containing specifications for data presentation in the free ArcGIS Explorer (as well as ArcMap); README file

  18. n

    01 - Rates & Proportions: A lost beach - Esri GeoInquiries collection for...

    • library.ncge.org
    Updated Jun 8, 2020
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    NCGE (2020). 01 - Rates & Proportions: A lost beach - Esri GeoInquiries collection for Mathematics [Dataset]. https://library.ncge.org/documents/cf4d0b4299524239816a0bacf02f5f1a
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    Dataset updated
    Jun 8, 2020
    Dataset authored and provided by
    NCGE
    Description

    THE GEOINQUIRIES™ COLLECTION FOR MATHEMATICShttp://www.esri.com/geoinquiriesThe GeoInquiry™ collection for Mathematics contains 15 free, standards-based activities that correspond and extend spatial concepts found in course textbooks frequently used in introductory algebra or geometry classes. The activities use a common inquiry-based instructional model, require only 15 minutes to deliver, and are device/laptop agnostic. Each activity includes an ArcGIS Online map but requires no login or installation. The activities harmonize with the Common Core mathematics national curriculum standards. All Mathematics GeoInquiries™ can be found at: http://eseriurl.com/mathGeoInquiries All GeoInquiries™ can be found at: http://www.esri.com/geoinquiries

  19. 10 - Latin American independence - Esri GeoInquiries collection for World...

    • library.ncge.org
    Updated Jun 8, 2020
    + more versions
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    NCGE (2020). 10 - Latin American independence - Esri GeoInquiries collection for World History [Dataset]. https://library.ncge.org/documents/NCGE::10-latin-american-independence-esri-geoinquiries-collection-for-world-history/about
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    Dataset updated
    Jun 8, 2020
    Dataset provided by
    National Council for Geographic Educationhttp://www.ncge.org/
    Authors
    NCGE
    Area covered
    Latin America
    Description

    THE GEOINQUIRIES™ COLLECTION FOR U.S. History

    http://www.esri.com/geoinquiries

    The GeoInquiry™ collection for World History contains 15 free, standards-based activities that correspond and extend spatial concepts found in course textbooks frequently used in introductory world history classes. The activities use a common inquiry-based instructional model, require only 15 minutes to deliver, and are device/laptop agnostic. Each activity includes an ArcGIS Online map but requires no login or installation. The activities harmonize with the C3 Framework for social studies curriculum standards.

    All World History GeoInquiries™ can be found at: http://esriurl.com/worldHistoryGeoInquiries

    All GeoInquiries™ can be found at: http://www.esri.com/geoinquiries

  20. n

    02 - Silk Roads: Then and now - Esri GeoInquiries collection for World...

    • library.ncge.org
    Updated Jun 8, 2020
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    NCGE (2020). 02 - Silk Roads: Then and now - Esri GeoInquiries collection for World History [Dataset]. https://library.ncge.org/datasets/02-silk-roads-then-and-now-esri-geoinquiries-collection-for-world-history
    Explore at:
    Dataset updated
    Jun 8, 2020
    Dataset authored and provided by
    NCGE
    Description

    THE GEOINQUIRIES™ COLLECTION FOR U.S. History

    http://www.esri.com/geoinquiries

    The GeoInquiry™ collection for World History contains 15 free, standards-based activities that correspond and extend spatial concepts found in course textbooks frequently used in introductory world history classes. The activities use a common inquiry-based instructional model, require only 15 minutes to deliver, and are device/laptop agnostic. Each activity includes an ArcGIS Online map but requires no login or installation. The activities harmonize with the C3 Framework for social studies curriculum standards.

    All World History GeoInquiries™ can be found at: http://esriurl.com/worldHistoryGeoInquiries

    All GeoInquiries™ can be found at: http://www.esri.com/geoinquiries

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ckan.americaview.org (2021). Open-Source GIScience Online Course [Dataset]. https://ckan.americaview.org/dataset/open-source-giscience-online-course
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Open-Source GIScience Online Course

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Dataset updated
Nov 2, 2021
Dataset provided by
CKANhttps://ckan.org/
License

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

Description

In this course, you will explore a variety of open-source technologies for working with geosptial data, performing spatial analysis, and undertaking general data science. The first component of the class focuses on the use of QGIS and associated technologies (GDAL, PROJ, GRASS, SAGA, and Orfeo Toolbox). The second component of the class introduces Python and associated open-source libraries and modules (NumPy, Pandas, Matplotlib, Seaborn, GeoPandas, Rasterio, WhiteboxTools, and Scikit-Learn) used by geospatial scientists and data scientists. We also provide an introduction to Structured Query Language (SQL) for performing table and spatial queries. This course is designed for individuals that have a background in GIS, such as working in the ArcGIS environment, but no prior experience using open-source software and/or coding. You will be asked to work through a series of lecture modules and videos broken into several topic areas, as outlined below. Fourteen assignments and the required data have been provided as hands-on opportunites to work with data and the discussed technologies and methods. If you have any questions or suggestions, feel free to contact us. We hope to continue to update and improve this course. This course was produced by West Virginia View (http://www.wvview.org/) with support from AmericaView (https://americaview.org/). This material is based upon work supported by the U.S. Geological Survey under Grant/Cooperative Agreement No. G18AP00077. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the opinions or policies of the U.S. Geological Survey. Mention of trade names or commercial products does not constitute their endorsement by the U.S. Geological Survey. After completing this course you will be able to: apply QGIS to visualize, query, and analyze vector and raster spatial data. use available resources to further expand your knowledge of open-source technologies. describe and use a variety of open data formats. code in Python at an intermediate-level. read, summarize, visualize, and analyze data using open Python libraries. create spatial predictive models using Python and associated libraries. use SQL to perform table and spatial queries at an intermediate-level.

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