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.

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

• https://orthos.dhses.ny.gov/
• https://data.cityofnewyork.us/

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.

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.

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.

This resource contains data inputs and a Jupyter Notebook that is used to introduce Hydrologic Analysis using Terrain Analysis Using Digital Elevation Models (TauDEM) and Python. TauDEM is a free and open-source set of Digital Elevation Model (DEM) tools developed at Utah State University for the extraction and analysis of hydrologic information from topography. This resource is part of a HydroLearn Physical Hydrology learning module available at https://edx.hydrolearn.org/courses/course-v1:Utah_State_University+CEE6400+2019_Fall/about

In this activity, the student learns how to (1) derive hydrologically useful information from Digital Elevation Models (DEMs); (2) describe the sequence of steps involved in mapping stream networks, catchments, and watersheds; and (3) compute an approximate water balance for a watershed-based on publicly available data.

Please note that this exercise is designed for the Logan River watershed, which drains to USGS streamflow gauge 10109000 located just east of Logan, Utah. However, this Jupyter Notebook and the analysis can readily be applied to other locations of interest. If running the terrain analysis for other study sites, you need to prepare a DEM TIF file, an outlet shapefile for the area of interest, and the average annual streamflow and precipitation data. - There are several sources to obtain DEM data. In the U.S., the DEM data (with different spatial resolutions) can be obtained from the National Elevation Dataset available from the national map (http://viewer.nationalmap.gov/viewer/). Another DEM data source is the Shuttle Radar Topography Mission (https://www2.jpl.nasa.gov/srtm/), an international research effort that obtained digital elevation models on a near-global scale (search for Digital Elevation at https://www.usgs.gov/centers/eros/science/usgs-eros-archive-products-overview?qt-science_center_objects=0#qt-science_center_objects). - If not already available, you can generate the outlet shapefile by applying basic terrain analysis steps in geospatial information system models such as ArcGIS or QGIS. - You also need to obtain average annual streamflow and precipitation data for the watershed of interest to assess the annual water balance and calculate the runoff ratio in this exercise. In the U.S., the streamflow data can be obtained from the USGS NWIS website (https://waterdata.usgs.gov/nwis) and the precipitation from PRISM (https://prism.oregonstate.edu/normals/). Note that using other datasets may require preprocessing steps to make data ready to use for this exercise.

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.

This group includes the following items:

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

This layer includes only building footprints 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 footprints are courtesy of VGIN map service 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. Created 2/8/2019

The Fire Certificate of Occupancy is a document issued by the City of Saint Paul’s Department of Safety and Inspections, Fire Safety Inspection Division, indicating the existing structure complies with all state and local safety codes allowing its use as a commercial building or residential occupancy.

The City of Saint Paul requires that all buildings, except for owner-occupied single family and duplex structures, are required to have and maintain a Fire Certificate of Occupancy issued by the Department of Safety and Inspections.

The Fire Certificate of Occupancy shall be an indication that the building meets, at the time of inspection, all relevant codes to maintain the health, safety and welfare of the building's occupants and the general public. After each inspection, a property is assigned a letter grade that corresponds to the number of years before the next inspection is required. Different occupancies may need to be on a tighter schedule due to the perceived hazard level.

For more information about the different occupancy types and inspection schedules for one and two family residential, multi- family residential and commercial properties, please visit the following link:

Certificate of Occupancy Information and Fees

A Provisional Fire Certificate of Occupancy is required for single family and duplex structures converting to nonowner-occupied status, allowing the structure to be temporarily occupied, pending an inspection.

Property owners are encouraged to conduct a pre-inspection before their scheduled inspection date using the provided checklists for residential and commercial properties:

One or Two UnitsThree + UnitsCommercial Properties

For more information please see Saint Paul’s Fire Inspections Page.

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). Where necessary, conversions from NGVD 1929 to NAVD 1988 were completed using the VERTCON (NOAA NGS, 2019). 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 2/8/2019Updated 10/10/2020

The Fire Certificate of Occupancy is a document issued by the City of Saint Paul’s Department of Safety and Inspections, Fire Safety Inspection Division, indicating the existing structure complies with all state and local safety codes allowing its use as a commercial building or residential occupancy.The City of Saint Paul requires that all buildings, except for owner-occupied single family and duplex structures, are required to have and maintain a Fire Certificate of Occupancy issued by the Department of Safety and Inspections.The Fire Certificate of Occupancy shall be an indication that the building meets, at the time of inspection, all relevant codes to maintain the health, safety and welfare of the building's occupants and the general public. After each inspection, a property is assigned a letter grade that corresponds to the number of years before the next inspection is required. Different occupancies may need to be on a tighter schedule due to the perceived hazard level.For more information about the different occupancy types and inspection schedules for one and two family residential, multi- family residential and commercial properties, please visit the following link:Certificate of Occupancy Information and FeesA Provisional Fire Certificate of Occupancy is required for single family and duplex structures converting to nonowner-occupied status, allowing the structure to be temporarily occupied, pending an inspection.Property owners are encouraged to conduct a pre-inspection before their scheduled inspection date using the provided checklists for residential and commercial properties:One or Two UnitsThree + UnitsCommercial PropertiesFor more information please see Saint Paul’s Fire Inspections Page.

Our Certification & Restoration Program currently licenses water and wastewater treatment plant operators as well as water distribution plants throughout Florida. Obtaining one of these licenses is a prerequisite to obtaining employment as a plant operator, excluding owner-operators.See Metadata for contact information.

Active non-wholesale Water and Provisional Water Utility Service Areas as listed in the Regulatory Commission of Alaska (RCA) Certificate details for regulated utilities. Likely the most comprehensive collection of State of Alaska utility service areas - but not necessarily definitive for every utility. For complicated large city service areas such as water and sewer the GIS department that represents those cities might have the best representation of the service area. There are also utilities that may not be regulated by RCA which will not be in the data. Footprints in general were lifted from existing KML files created by a contractor in the years 2008-2017. Service area changes that have happened since 2008 may not yet be reflected in the footprints. In a few cases legal descriptions had typos which resulted in service areas miles from the community they intended to cover. In the case of the AsOfDate attribute in this dataset only reflects the date of the last syncing of master certificate metadata with RCA Library database - not the current polygon representation.Source: Regulatory Commission of AlaskaThis data has been visualized in a Geographic Information Systems (GIS) format and is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: Regulatory Commission of Alaska Library

This dataset is OBSOLETE as of 11/18/2024 and will be removed from ArcGIS Online on 11/18/2025.An updated version of this dataset is available at Certified Sustainable Buildings | Open Data Portal | City of Cambridge.A map of the updated data can be found in two places:Certified Sustainable Buildings Map | Open Data Portal | City of CambridgeSustainable Buildings Map - City of Cambridge, MAThis point layer shows the location of sustainable buildings in Cambridge. For inclusion in this layer, a building must do at least one of the following: qualify for the City’s Article 22 regulatory process; be certified by Passive House; be certified by Enterprise Green Communities; or be certified by LEEDunder a LEED version that requires the whole building to meet sustainability standards. Some buildings meet two or more of these criteria. Additionally, this layer contains information about other certifications (Energy Star, Fitwel, and WELL) that may apply to the included buildings. If an included building participates in the City’s BEUDO regulatory process, this layer provides two key emissions figures for the building. Information provided about the applicable sustainable building programs for qualifying buildings includes certification levels, certification types, ratings, or scores. This layer includes data from City and non-City sources.Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription BldgID type: Stringwidth: 50precision: 0 Unique ID for database from GIS.

Latitude type: Doublewidth: 8precision: 38 Geographic coordinate from GIS Bldg ID centroid file.

Longitude type: Doublewidth: 8precision: 38 Geographic coordinate from GIS Bldg ID centroid file.

Article22_SystemLevelEquivalenc type: Stringwidth: 150precision: 0

Article22 type: Stringwidth: 3precision: 0 "Yes" indicates Article 22 building.

BEUDO_TotalGHGEmissionsIntensit type: Doublewidth: 8precision: 38

BEUDO type: Stringwidth: 3precision: 0 "Yes" indicates BUEDO building.

BEUDO_SourceEUI type: Doublewidth: 8precision: 38 A critical variable for reporting about BEUDO.

EnergyStar type: Stringwidth: 3precision: 0 "Yes" indicates EnergyStar building.

EnergyStar_CountYearsCert type: SmallIntegerwidth: 2precision: 5 Number of years certified. EnergyStar certification may be renewed annually.

EnergyStar_LastYearCert type: Stringwidth: 4precision: 0 Year of last certification.

EnergyStar_LastCertScore type: SmallIntegerwidth: 2precision: 5 Most recent EnergyStar score.

EnterpriseGC type: Stringwidth: 3precision: 0 "Yes" indicates Enterprise Green Communities building.

EnterpriseGC_CertTemplate type: Stringwidth: 100precision: 0 Certification version.

EnterpriseGC_PointsAchieved type: SmallIntegerwidth: 2precision: 5 Enterprise Green Communities score.

Fitwel type: Stringwidth: 3precision: 0 "Yes" indicates Fitwel building.

Fitwel_StarRating type: SmallIntegerwidth: 2precision: 5 Numerical Fitwel rating.

LEED type: Stringwidth: 3precision: 0 "Yes" indicates LEED building.

LEED_TotalCerts type: SmallIntegerwidth: 2precision: 5 Number of certifications applying to the whole building. The LEED fields contain details about certifications that are "whole-building," not referring to one part of the building only or or to building operations.

LEED_LastCertDate type: Datewidth: 8precision: 0 Date of last certification applying to the whole building.

LEED_LastSystemVersion type: Stringwidth: 100precision: 0 Certification version and rating system.

LEED_LastCertLevel type: Stringwidth: 50precision: 0 LEED certifictation level at which whole building is certified. Certified/Silver/Gold/Platinum: Does not not include "registered" buildings.

PassiveHouse type: Stringwidth: 3precision: 0 "Yes" indicates Passive House building.

PassiveHouse_CertVersion type: Stringwidth: 100precision: 0 Certification version.

WELL type: Stringwidth: 3precision: 0 "Yes" indicates WELL building.

WELL_Version type: Stringwidth: 50precision: 0 Certification version.

WELL_ProjectType type: Stringwidth: 150precision: 0 WELL project type.

WELL_CertLevel type: Stringwidth: 50precision: 0 Certification level. Certified Pilot/Compliance/Bronze/Silver/Gold/Platinum or Health-Safety Rated: Does not include "registered" or "precertified" buildings.

created_date type: Datewidth: 8precision: 0

last_edited_date type: Datewidth: 8precision: 0

A COI is a legal guarantee which prevents a building from being listed during a specified five year period. The issue of a certificate also prevents the local authority from serving a Building Preservation Notice (see below) on the respective property during this period.

DEP, Water Resource Management - Certification & Restoration Program currently licenses water and wastewater treatment plant operators and water distribution system operators throughout Florida. These are individuals that are licensed to operate DEP permitted water treatment facilities (DW), wastewater treatment facilities (WW) and water distribution systems (DS). In all, there are 12 different levels of licensure (DS1, DS2, DS3, DWA, DWB, DWC, DWD, WWA, WWB, WWC and WWD) and two licensure statuses ("Active" and "Inactive"). It is our intent to create a visual representation of the location of each of these individual licenses in Florida by using the addresses that are stored in the program's Oracle database. This layer only includes those licenses which are "Active".

This file contains provider data, including details and address, for the Medi-Cal Managed Care Plans (MCPs.) This data is submitted to DHCS monthly via X12 274 Transaction files, each of the MCPs submit one file per County in which they operate. As of October 2023, there are 26 Managed Care Plans. There are elements within the file that are not submitted by the plan, but are looked up from the Managed Care Annual Network Certification (ANC) Provider Taxonomy crosswalk. The submitted taxonomy is looked up and the Managed Care Provider Category and ANC Provider Type fields are returned. The most recent version the APL and other ANC related information can be found at: https://www.dhcs.ca.gov/formsandpubs/Pages/AllPlanLetters.aspx.

*The data for this dataset is updated daily. The date(s) displayed in the details section on our Open Data Portal is based on the last date the metadata was updated and not the refresh date of the data itself.*This layer is composed of the locations of Self-Certification permit for a Stormwater Management System in uplands serving less than 10 Acres total land area and less than 2 acres impervious under Section 403.814(12), F.S.Please see metadata for contact information.

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)