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. a

    Certificate of Occupancy

    • gis-mdc.opendata.arcgis.com
    Updated Jul 22, 2021
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    Miami-Dade County, Florida (2021). Certificate of Occupancy [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/certificate-of-occupancy/api
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    Dataset updated
    Jul 22, 2021
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Certificate of Occupancy

  3. a

    Training And Certification (Quarterly)

    • strategic-performance-cccd-gis.hub.arcgis.com
    Updated Jun 2, 2024
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    Clayton County GIS (2024). Training And Certification (Quarterly) [Dataset]. https://strategic-performance-cccd-gis.hub.arcgis.com/items/abc2a351d728420dbafeff9e342eb1bb
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    Dataset updated
    Jun 2, 2024
    Dataset authored and provided by
    Clayton County GIS
    Description

    Professional Growth Management - Attract, grow, and retain top talent to serve our seniors and their families with passion, pride, and professionalism.

  4. d

    3.09 ABOR Certificates and Licenses (detail)

    • catalog.data.gov
    • data-academy.tempe.gov
    • +7more
    Updated Jan 17, 2025
    + more versions
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    City of Tempe (2025). 3.09 ABOR Certificates and Licenses (detail) [Dataset]. https://catalog.data.gov/dataset/3-09-abor-certificates-and-licenses-detail-60088
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    Dataset updated
    Jan 17, 2025
    Dataset provided by
    City of Tempe
    Description

    Dataset contains information on Tempeans receiving post-secondary education, licenses, certificates. Data supports City's Achieve65Tempe goal that 65 percent of Tempe’s adult population access post-secondary education, resulting in a certification to an advanced degree by 2030.This page provides data for the Post-Secondary School Achievement Rate performance measure. Certificate and License estimates from the Arizona Board of Regents.The performance measure dashboard is available at 3.09 Post-Secondary School Achievement Rate.Additional InformationSource: US Census, Arizona Board of RegentsContact: Marie RaymondContact E-Mail: Marie_Raymond@tempe.govData Source Type: Excel / CSVPreparation Method: Numbers retrieved from US Census and Arizona Board of Regents, then combined into a summary spreadsheet. The supporting data sources are also provided.Publish Frequency: annuallyPublish Method: manualData Dictionary

  5. a

    3018 S Island Dr.

    • community-gis-portal-seabrooktx.hub.arcgis.com
    Updated Feb 13, 2025
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    rpeterson_seabrooktx (2025). 3018 S Island Dr. [Dataset]. https://community-gis-portal-seabrooktx.hub.arcgis.com/datasets/a9268ac96d5d4d39836df878029a6b64
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    Dataset updated
    Feb 13, 2025
    Dataset authored and provided by
    rpeterson_seabrooktx
    Description

    This document is an Elevation Certificate that represents the given Address listed in the title of the document. Some may vary in appearance due to age and documentation updates.

  6. b

    Elevation Certificates

    • opendata.baltimorecountymd.gov
    • hub.arcgis.com
    • +1more
    Updated Jul 13, 2017
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    Baltimore County Government (2017). Elevation Certificates [Dataset]. https://opendata.baltimorecountymd.gov/datasets/elevation-certificates/about
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    Dataset updated
    Jul 13, 2017
    Dataset authored and provided by
    Baltimore County Government
    Area covered
    Description

    This feature class represents locations of properties that should have elevation certificates in Baltimore County. The points were compiled based on the address information provided on the certificate or other source material. Scanned copies of elevation certificates and other relevant documents are stored in the database as attachments. The attached documents are in PDF format.

  7. Certificate of Registration Locations SDCC

    • data-sdublincoco.opendata.arcgis.com
    • data.gov.ie
    • +2more
    Updated Sep 27, 2023
    + more versions
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    South Dublin County Council (2023). Certificate of Registration Locations SDCC [Dataset]. https://data-sdublincoco.opendata.arcgis.com/datasets/certificate-of-registration-locations-sdcc
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    Dataset updated
    Sep 27, 2023
    Dataset authored and provided by
    South Dublin County Council
    License

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

    Area covered
    Description

    The requirement to hold a Waste Collection Permit is in accordance with section 34(1) of the Waste Management Act 1996 (as amended). A permit is required by anyone collecting Waste on a commercial basis to ensure that the Waste is gathered, sorted and transported correctly. The revised Waste Management (Collection Permit) Regulations 2007 (S.I. 820 of 2007 & S.I. 87 of 2008) came into effect on 1st of June 2008. It is recommended that this dataset is read in conjunction with the ‘Waste Facility Permit Locations SDCC’ dataset.

  8. G

    QGIS Training Tutorials: Using Spatial Data in Geographic Information...

    • open.canada.ca
    • datasets.ai
    • +2more
    html
    Updated Oct 5, 2021
    + more versions
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    Statistics Canada (2021). QGIS Training Tutorials: Using Spatial Data in Geographic Information Systems [Dataset]. https://open.canada.ca/data/en/dataset/89be0c73-6f1f-40b7-b034-323cb40b8eff
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    htmlAvailable download formats
    Dataset updated
    Oct 5, 2021
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Have you ever wanted to create your own maps, or integrate and visualize spatial datasets to examine changes in trends between locations and over time? Follow along with these training tutorials on QGIS, an open source geographic information system (GIS) and learn key concepts, procedures and skills for performing common GIS tasks – such as creating maps, as well as joining, overlaying and visualizing spatial datasets. These tutorials are geared towards new GIS users. We’ll start with foundational concepts, and build towards more advanced topics throughout – demonstrating how with a few relatively easy steps you can get quite a lot out of GIS. You can then extend these skills to datasets of thematic relevance to you in addressing tasks faced in your day-to-day work.

  9. c

    Lead Safe Certificates

    • data.clevelandohio.gov
    • hub.arcgis.com
    Updated Dec 19, 2024
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    Cleveland | GIS (2024). Lead Safe Certificates [Dataset]. https://data.clevelandohio.gov/datasets/lead-safe-certificates/explore
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    Dataset updated
    Dec 19, 2024
    Dataset authored and provided by
    Cleveland | GIS
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    The goal of the Lead Safe Certificate program is to prevent lead poisoning by ensuring that all rental homes built prior to 1978 are compliant with the city's Lead Safe Ordinance and maintained free of lead hazards.Any home built before 1978 is reasonably presumed to contain lead-based paint. Residential rental units built before 1978 must have a Lead Safe Certification from the City of Cleveland’s Department of Building and Housing.The Lead Safe Certification is only valid for two years, after which rental property owners must re-apply for certification.For more information about the City's Lead Safe Certification program, please visit this Building & Housing page.RelatedLead Safe Certificate ExplorerData GlossaryCOLUMN | DESCRIPTIONRECORD_ID | Unique ID produced by the Accela system.STATUS | Status of the certificate. IS_ACTIVE | Flag that is true if the certificate has a status of Certified, Active, About to Expire, or Exempt, all of which indicate that the associated property is lead safe. All other statuses are coded as false.RECORD_FILE_DATE | Date when the certificate was originally filed.RENTAL_REG_ID | ID of the associated rental registration record in Accela.RENEWAL_RECORD_ID | ID of an associated renewal record in Accela, if applicable.RENEWAL_RECORD_FILE_DATE | File date of the renewal, if applicable.STATUS_DATE | Time of last status update for the certificate.EXPIRATION_DATE | Date on which the certificate will expire.PrimaryAddress | Primary address associated with the certificate.PrimaryAddressZip | Zip code in the primary address.YEAR_BUILT | Year the associated building was constructed.TOTAL_UNITS | Total units in the building associated with the certificate.TOTAL_UNITS_INSPECTED | Total units inspected.INSPECTION_TYPE | Type of inspection.INSPECTION_DATE | Date of inspection. INVESTIGATOR_CERTIFICATION_ID | ID of the investigator who conducted the inspection.REVIEW_DATE | Date of last review.ACCELA_CITIZEN_ACCESS_URL | Link to the record in the Accela Citizen Access portal.DW_Parcel | Associated parcel number. DW_Ward | Associated ward (pre-2025 boundaries).DW_Tract2020 | 2020 Census tract.DW_Neighborhood | Neighborhood.IS_GEOLOCATED | True if the City's geocoder could locate the address. False otherwise.ContactCity of Cleveland, Building and Housing Lead Compliance ProgramUpdate FrequencyWeekly on Sundays at 7 AM EST (6 AM during daylight savings)

  10. w

    WA UTC - Solid Waste Certificates Map

    • geo.wa.gov
    • hub.arcgis.com
    • +1more
    Updated Nov 29, 2017
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    Utilities and Transportation Commission ArcGIS Online (2017). WA UTC - Solid Waste Certificates Map [Dataset]. https://geo.wa.gov/maps/d379029aa77d4f2086c0570706c02efa
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    Dataset updated
    Nov 29, 2017
    Dataset authored and provided by
    Utilities and Transportation Commission ArcGIS Online
    Area covered
    Description

    Web Map illustration of Garbage Service Area Boundary described in the certificated authority issued to Solid Waste Companies by Utilities and Transportation Commission (UTC). For additional information and questions pertaining to solid waste certificate coverage and issuance please, contact the UTC Licensing Section, 360-664-1223,

  11. a

    Elevation Certificates - Parcels

    • hub.arcgis.com
    • hrgeo.org
    Updated Feb 21, 2019
    + more versions
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    HRPDC & HRTPO (2019). Elevation Certificates - Parcels [Dataset]. https://hub.arcgis.com/maps/HRPDC-GIS::elevation-certificates-parcels
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    Dataset updated
    Feb 21, 2019
    Dataset authored and provided by
    HRPDC & HRTPO
    Area covered
    Description

    This layer includes only parcels where final elevation certificates are available, with elevations reported in the vertical datum provided on the elevation certificate (NAVD 1988 or NGVD 1929).Elevation certificates were collected from the following 10 localities: (1)Chesapeake, (2)Franklin, (3)Hampton, (4)James City County, (5)Newport News, (6)Norfolk, (7)Portsmouth, (8)Southampton County, (9)Virginia Beach, and (10)York County. All elevation certificate information was entered by HRPDC staff. Localities included in the current inventory were able to provide digital elevation certificate copies. This inventory is not complete for the region, and elevation certificates will continue to be added to the database when available. Building attributes and parcels are courtesy of the Hampton Roads Regional Parcels layer and locality GIS departments. Created 2/8/2019

  12. a

    Certificates of Occupancy

    • hub.arcgis.com
    • data.scottsdaleaz.gov
    • +2more
    Updated Apr 21, 2020
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    City of Scottsdale GIS (2020). Certificates of Occupancy [Dataset]. https://hub.arcgis.com/datasets/345f8d520fc94023b73c7840aeaedf5f
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    Dataset updated
    Apr 21, 2020
    Dataset authored and provided by
    City of Scottsdale GIS
    License

    https://www.scottsdaleaz.gov/AssetFactory.aspx?did=69351https://www.scottsdaleaz.gov/AssetFactory.aspx?did=69351

    Area covered
    Description

    Please click here to view the Data Dictionary, a description of the fields in this table.Certificates of Occupancy issued by the City of Scottsdale.

  13. V

    Elevation Certificates - Parcels

    • data.virginia.gov
    Updated Dec 11, 2020
    + more versions
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    Hampton Roads PDC & Hampton Roads TPO (2020). Elevation Certificates - Parcels [Dataset]. https://data.virginia.gov/dataset/elevation-certificates-parcels
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    kml, csv, geojson, zip, arcgis geoservices rest api, htmlAvailable download formats
    Dataset updated
    Dec 11, 2020
    Dataset provided by
    HRPDC & HRTPO
    Authors
    Hampton Roads PDC & Hampton Roads TPO
    Description

    This group includes the following items:


    1. Hampton Roads Elevation Certificate Building Footprints: includes only building footprints where final elevation certificates are available, with elevations reported in the vertical datum provided on the elevation certificate (NGVD 29 or NAVD 88).

    2. Hampton Roads Elevation Certificate Parcels: includes only parcels where final elevation certificates are available, with elevations reported in the vertical datum provided on the elevation certificate (NGVD 29 or NAVD 88).

    Elevation certificates were collected from the following 12 localities: Chesapeake, Franklin, Gloucester County, Hampton, James City County, Newport News, Norfolk, Portsmouth, Southampton County, Suffolk, Virginia Beach, and York County. Localities included in the current inventory were able to provide digital elevation certificate copies. This inventory is not complete for the region, and elevation certificates will continue to be added to the database when available. The elevation certificate database was developed by HRPDC staff with support from the Center for Geospatial, Science, Education, and Analytics at Old Dominion University (ODU). We would like to acknowledge Manuel Solano (ODU) for his contributions to the Gloucester County and City of Norfolk elevation certificate data development.

    Building footprints are courtesy the VGIN statewide building footprints layer and locality GIS departments. Building attributes and parcels are courtesy of the Hampton Roads Regional Parcels layer and locality GIS departments. Current flood zones are courtesy of the FEMA National Flood Hazard Layer, with base flood elevations reported in NAVD 1988 where available. A complete list of attribute descriptions is available here.

    Created 2/8/2019
    Updated 10/10/2020

  14. a

    3801 Seashore Cir.

    • community-gis-portal-seabrooktx.hub.arcgis.com
    Updated Jul 11, 2024
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    rpeterson_seabrooktx (2024). 3801 Seashore Cir. [Dataset]. https://community-gis-portal-seabrooktx.hub.arcgis.com/datasets/50b6c1e5b43a4be7ad6e43638c488cb3
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    Dataset updated
    Jul 11, 2024
    Dataset authored and provided by
    rpeterson_seabrooktx
    Description

    This document is an Elevation Certificate that represents the given Address listed in the title of the document. Some may vary in appearance due to age and documentation updates.

  15. d

    Certificate of Occupancy

    • catalog.data.gov
    • opendata.dc.gov
    • +5more
    Updated Jul 9, 2025
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    City of Washington, DC (2025). Certificate of Occupancy [Dataset]. https://catalog.data.gov/dataset/certificate-of-occupancy
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    Dataset updated
    Jul 9, 2025
    Dataset provided by
    City of Washington, DC
    Description

    All applicants for a Basic Business License operating from a commercial location in the District of Columbia must provide a Certificate of Occupancy (C of O) for the premise address from which the business activity is conducted in order to demonstrate the activity does not conflict with building and zoning codes. A certificate of occupancy is needed to occupy any structure other than a single family dwelling. To include the following uses: two family flat, apartment house, and all commercial uses.

  16. h

    Elevation Certificates - Parcels (NAVD88)

    • hrgeo.org
    Updated Feb 21, 2019
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    HRPDC & HRTPO (2019). Elevation Certificates - Parcels (NAVD88) [Dataset]. https://www.hrgeo.org/datasets/ee535bb56cb74530900ba31c071b068b
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    Dataset updated
    Feb 21, 2019
    Dataset authored and provided by
    HRPDC & HRTPO
    Area covered
    Description

    This layer includes only parcels where final elevation certificates are available, with all elevations reported in NAVD 1988. Where necessary, conversions from NGVD 1929 to NAVD 1988 were completed using the VERTCON v2.1 program (NOAA NGS, 2018). Elevation certificates were collected from the following 10 localities: (1)Chesapeake, (2)Franklin, (3)Hampton, (4)James City County, (5)Newport News, (6)Norfolk, (7)Portsmouth, (8)Southampton County, (9)Virginia Beach, and (10)York County. All elevation certificate information was entered by HRPDC staff. Localities included in the current inventory were able to provide digital elevation certificate copies. This inventory is not complete for the region, and elevation certificates will continue to be added to the database when available. Building attributes and parcels are courtesy of the Hampton Roads Regional Parcels layer and locality GIS departments. Created 2/8/2019

  17. c

    Certificate Pending

    • geodata.ct.gov
    Updated May 9, 2024
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    Connecticut Department of Transportation (2024). Certificate Pending [Dataset]. https://geodata.ct.gov/maps/CTDOT::certificate-pending
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    Dataset updated
    May 9, 2024
    Dataset authored and provided by
    Connecticut Department of Transportation
    Area covered
    Description

    Map displays large traffic generating developments whose gross floor area or parking spaces meet or exceed the thresholds defined by section 14-312-1 of the Office of the State Traffic Administrations (OSTA) regulations.

  18. Certificate of Compliance in Hong Kong

    • hub.arcgis.com
    • opendata.esrichina.hk
    Updated Jan 27, 2023
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    Esri China (Hong Kong) Ltd. (2023). Certificate of Compliance in Hong Kong [Dataset]. https://hub.arcgis.com/maps/624206646564466ea699649d52a63540
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    Dataset updated
    Jan 27, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This web map shows the cumulative data of certificate of compliance issued from 2018 onwards in Hong Kong. It is a set of data made available by the Lands Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong CSDI Portal at https://portal.csdi.gov.hk.

  19. The Hills of Governor's Island Dataset for GRASS GIS

    • zenodo.org
    zip
    Updated Aug 25, 2021
    + more versions
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    Brendan Harmon; Brendan Harmon (2021). The Hills of Governor's Island Dataset for GRASS GIS [Dataset]. http://doi.org/10.5281/zenodo.5248688
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    zipAvailable download formats
    Dataset updated
    Aug 25, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Brendan Harmon; Brendan Harmon
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Governors Island
    Description

    The Hills of Governor's Island Dataset for GRASS GIS
    This geospatial dataset contains raster and vector data for the Hills region of Governor's Island, New York City, USA. The top level directory governors_island_hills_for_grass is a GRASS GIS location for NAD_1983_StatePlane_New_York_Long_Island_FIPS_3104_Feet in US Surveyor's Feet with EPSG code 2263. Inside the location there is the PERMANENT mapset, a license file, data record, readme file, workspace, color table, category rules, and scripts for data processing. This dataset was created for the course GIS for Designers.

    Instructions
    Install GRASS GIS, unzip this archive, and move the location into your GRASS GIS database
    directory. If you are new to GRASS GIS read the first time users guide.

    Data Sources

    Maps

    • Orthophotographs from 2012, 2014, 2016, 2018, and 2020
    • Digital elevation model from 2017
    • Digital surface models from 2014 and 2017
    • Landcover from 2014

    License
    This dataset is licensed under the ODC Public Domain Dedication and License 1.0 (PDDL) by Brendan Harmon.

  20. a

    Elevation Certificates Map - Public

    • city-of-friendswood-mapping-home-page-fwd.hub.arcgis.com
    Updated Sep 13, 2024
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    City of Friendswood - GIS (2024). Elevation Certificates Map - Public [Dataset]. https://city-of-friendswood-mapping-home-page-fwd.hub.arcgis.com/datasets/elevation-certificates-map-public
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    Dataset updated
    Sep 13, 2024
    Dataset authored and provided by
    City of Friendswood - GIS
    Area covered
    Description

    A community's permit file must have an official record that shows new buildings and substantial improvements in all identified Special Flood Hazard Areas (SFHAs)are properly elevated. This elevation information is needed to show compliance with the floodplain management ordinance. FEMA encourages communities to use the Elevation Certificate developed by FEMA to fulfill this requirement since it also can be used by the property owner to obtain flood insurance. Communities participating in the Community Rating System (CRS) are required to use the FEMA Online Elevation Certificate, FEMA Form FF-206-FY-22-152 (formerly 086-0-33).

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

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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