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.

Certified businesses enterprises in the District of Columbia as identified by the DC Department of Small and Local Business. A Certified Business Enterprise (CBE) is a business that is headquartered in the District of Columbia and has been certified by the Department of Small and Local Business Development (DSLBD). Businesses with CBE certification receive preferred procurement and contracting opportunities.

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.

In the fall of 2013, the Detroit Blight Removal Task Force commissioned Data Driven Detroit, the Michigan Nonprofit Association, and LOVELAND Technologies to conduct a survey of every parcel in the City of Detroit. The goal of the survey was to collect data on property condition and vacancy. The effort, called Motor City Mapping, leveraged relationships with the Rock Ventures family of companies and the Detroit Employment Solutions Corporation to assemble a dedicated team of over 200 resident surveyors, drivers, and quality control associates. Data collection occurred from December 4, 2013 until February 16, 2014, and the initiative resulted in survey information for over 370,000 parcels of land in the city of Detroit, identifying condition, occupancy, and use. The data were then extensively reviewed by the Motor City Mapping quality control team, a process that concluded on September 30, 2014.

This file contains the official certified results from the Winter 2013/2014 survey, aggregated to 2010 Census Tracts for easy mapping and analysis. The topics covered in the dataset include totals and calculated percentages for parcels in the categories of illegal dumping, fire damage, structural condition, existence of a structure or accessory structure, and improvements on lots without structures.Metadata associated with this file includes field description metadata and a narrative summary documenting the process of creating the dataset.

DCCED certified population counts annually from 2011 to present for communities in the State of Alaska. Population counts are noted as DCCED Certified or DOWLD Estimates.Note on use for analysis: This data set mixes scale. It includes rows for boroughs, which contain multiple CDP's and cities from this same data set in many cases. The current naming conventions reflect the most recent data. Boundaries and names for boroughs and CDP's have changed over time. Contact dcraresearchandanalysis@alaska.gov with questions.Source: State of Alaska, Department of Commerce, Community, and Economic Development/Department of Labor and Workforce Development

Note: This web page provides data on health facilities only. To file a complaint against a facility, please see: https://www.cdph.ca.gov/Programs/CHCQ/LCP/Pages/FileAComplaint.aspxThe California Department of Public Health (CDPH), Center for Health Care Quality, Licensing and Certification (L&C) Program licenses and certifies more than 30 types of healthcare facilities. The Electronic Licensing Management System (ELMS) is a CDPH data system created to manage state licensing-related data and enforcement actions. This file includes California healthcare facilities that are operational and have a current license issued by the CDPH and/or a current U.S. Department of Health and Human Services’ Centers for Medicare and Medicaid Services (CMS) certification.To link the CDPH facility IDs with those from other Departments, like HCAI, please reference the "Licensed Facility Cross-Walk" Open Data table at https://data.chhs.ca.gov/dataset/licensed-facility-crosswalk. Facility geographic variables are updated monthly, if latitude/longitude information is missing at any point in time, it should be available when the next time the Open Data facility file is refreshed.Please note that the file contains the data from ELMS as of the 11th business day of the month. See DATA_DATE variable for the specific date of when the data was extracted.

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 geospatial dataset is a hydrologic unit boundary layer for the Sub-basin (8-digit) level. The dataset is a subset of the 4th level (8-digit) hydrologic unit boundaries of the Watershed Boundary Dataset (WBD) layer for Oregon. It was created by dissolving boundaries from the finer resolution hydrologic units (those of the 5th or 10-digit level) to create these broader boundaries. Boundaries within the this data set were delineated by Pacific Northwest (PNW) Hydrography Framework Partners and Natural Resources Conservation Service (NRCS) to meet state requirements and to contribute to the national WBD repository. To meet these goals, the WBD must adhere to the "Federal Standards for Delineation of Hydrologic Unit Boundaries", dated October, 2004. These boundaries were made from the Oregon and Washington datasets that have been nationally certified by Natural Resources Conservation Service (NRCS) Prior to submission the dataset was subjected to an iterative review and edit process to ensure that the hydrologic boundaries fully satisfy the federal standards. This work was completed under a Memorandum of Understanding between the Pacific Northwest Hydrography Framework Partnership, NRCS and the US Geological Survey (USGS). The current dataset includes the entire 4th level (8-digit) subbasins that fall within or the four county Metro region. This data was originally downloaded from the PNW Hydrography Framework Clearinghouse (http://hydro.reo.gov/hu.html). Date of last data update: 2009-01-31 This is official RLIS data. Contact Person: Christine Rutan christine.rutan@oregonmetro.gov 503-797-1669 RLIS Metadata Viewer: https://gis.oregonmetro.gov/rlis-metadata/#/details/2100 RLIS Terms of Use: https://rlisdiscovery.oregonmetro.gov/pages/terms-of-use

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 Explorer Data GlossarySee the Attributes section below for details about each column in this dataset.ContactCity of Cleveland, Building and Housing Lead Compliance Program Update FrequencyWeekly on Sundays at 7 AM EST (6 AM during daylight savings)

April 1, 2025: data feeds from DMV are currently offline while the agency works to migrate reporting systems. The most recent data available is from December 2024. Open Data DC is working with DMV to restore data feeds as soon as possible.On behalf of the District Department of Transportation (DDOT), which regulates parking in the District, DC DMV issues three types of disability placards or permits, one-week permits, temporary placards, and long-term placards, all described below.One-Week PermitsYou can get a one-week disability permit if you only require the placard for a week or less (or you have a visitor who requires it), you have a short-term disability, or your vehicle with disability tags is being repaired. For a one-week permit, you do not need a doctor’s certification. The one-week permit is not renewable within a one-year period.Temporary PlacardsYou can get a temporary disability placard if you have a physical condition that substantially impairs your mobility that is expected to last no longer than 8 years. Your medical practitioner must certify the application and indicate the expected length of your disability. If you find you need your disabled privileges longer, you must submit a new application with a medical practitioner's certification.Long-Term PlacardsYou can get a long-term disability if you have a long-term disability. The list of qualifying disabilities is included on the application for the placard. You do not need a medical practitioner's certification if you have an obvious missing lower extremity or you use a motorized wheelchair.The long-term placard is valid up to 8 years to coincide with the expiration of your driver license or identification card. To renew it, you must submit a new application with a medical practitioner's certification.Temporary and long-term placards expire on the last day of the month and year indicated on the placard.Placards or permits should be hung from the rearview mirror while the vehicle is parked in a space authorized for the disabled and must be displayed and readable from the front windshield. They must be removed from the rearview mirror while the vehicle is in motion.

The government limits competition for certain contracts to businesses in historically underutilized business zones. It also gives preferential consideration to those businesses in full and open competition.Joining the HUBZone program makes your business eligible to compete for the program’s set-aside contracts. HUBZone-certified businesses also get a 10% price evaluation preference in full and open contract competitions.HUBZone-certified businesses can still compete for contract awards under other socio-economic programs they qualify for.Requirements:Be a small business according to SBA size standardsBe at least 51% owned and controlled by U.S. citizens, a Community Development Corporation, an agricultural cooperative, an Alaska Native corporation, a Native Hawaiian organization, or an Indian tribeHave its principal office located in a HUBZoneHave at least 35% of its employees living in a HUBZone

This layer shows the New Jersey municipalities that were certified under the Sustainable Jersey Program in 2019. Sustainable Jersey certification is a prestigious designation for municipal governments in New Jersey. Municipalities that achieve the certification are considered by their peers, by state government and by the experts and civic organizations in New Jersey, to be among the leading municipalities striving for sustainability. In order to be certified, municipalities must implement a number of actions that earn them points. To be certified as "Bronze", municipalities must establish a green team, implement 2/12 priority actions, complete actions in 6/19 categories, and total at least 150 points. To be certified as "Silver", municipalities must also establish a green team, implement 3/12 priority actions, complete actions in 8/19 categories, and total at least 350 points. For additional information about the program, as well as more information about the specific action municipalities accomplished in order to become certified, please visit https://www.sustainablejersey.com/.

EGLE now administers the statewide Michigan Green Schools certification program. The program is dedicated to assisting all Michigan schools public and private achieve environmental goals that include protecting the air, land, water and animals of our state along with world outreach through good ecological practices and the teaching of educational stewardship of students pre-kindergarten through high school.A school is eligible to receive a Green School, Emerald School, or Evergreen School Environmental Stewardship Designation if the school or students perform the required number of activities, with a minimum of two activities from each of the four categories. The activity requirements for each level of environmental stewardship designation are as follows:Fields included in this dataset are:SchoolName: The name of the school.SchoolCity: The city that the school is in.SchoolCounty: The county that the school is in.CertificationLevel: The Green Schools certification level achieved based on number of activities achieved.Green: 10 total activities with at least two activities from each of the four categories.Emerald: 15 total activities with at least two activities from each of the four categories.Evergreen: 20 total activities with at least two activities from each of the four categories.Awaiting Final Result: Macomb County has not sent the final certification levels to the State of Michigan.Please visit EGLE's Green School site for more information and direct questions to Eileen Boekestein, EGLE's Environmental Education Coordinator at BoekesteinE@Michigan.gov.

Parcel boundary lines in this dataset are published once a year, after the boundary adjustments have been approved by Planning and Zoning and certified through the Assessor's Office. Attribute data is published at different times throughout the year, as detailed below.

*Attribute data excludes ownership and address data in this dataset. If you wish to have these data, please fill out the Public Information request form found in the Download Datasets page of the GIS Portal and email to lfrederick@co.valley.id.us.

ATTRIBUTE DATA - MONTHLY UPDATES

These fields are updated in the dataset monthly. After the public table updates are run by the Assessor's Office, Valley County GIS analyst exports the tables to append/update the new data values.

ATTRIBUTE DATA - ANNUAL UPDATES

These fields are updated annually after certification of parcel boundaries and valuation have been completed.

Certified Local Government (CLG) communities are those that have shown a commitment to historic preservation. They have done this by adopting a local ordinance and creating a historic preservation commission. The program is a dynamic partnership between local governments, the Idaho State Historic Preservation Office (SHPO), and the National Park Service (NPS). It assists local communities in preserving their unique historic character. The Certified Local Government program also provides technical assistance and small grants to local governments. Most importantly, communities use the grants to preserve their historic resources for future generations. The CLG program gives local communities a more active level of participation in the National Register of Historic Places program and a greater say in any federally funded projects in their area. On of the biggest benefits of the program is the CLG Grant program. Communities use these grants for a wide range of projects: surveys, National Register nominations, tour flyers, historic preservation plans, and even some bricks-and-mortar projects. In recent years, the Idaho SHPO has distributed over $77,000 annually to CLGs. Because of the CLG program, over $2 million dollars have been injected directly into local communities since 1983. Idaho currently has 40 communities who participate in the program.

This data resource is a layer in a map service. To download it, please go to the "Layers" section of this page and click the name of the dataset. This will open a new page that features a download button. Open the Map Service: https://gis.chesapeakebay.net/ags/rest/services/ChesapeakeProgress/cpSustainable_Schools_2021/MapServer This Chesapeake Bay Program indicator of progress toward the Sustainable Schools Outcome shows certified sustainable public and charter schools in the Chesapeake Bay watershed. Certified sustainable schools include public and charter schools that have been recognized as sustainable by the following programs: U.S. Green Ribbon Schools, National Wildlife Federation Eco-Schools USA (Bronze, Silver and Green Flag status), Maryland Green Schools, Pennsylvania Pathways to Green Schools and Virginia Naturally Schools.

The City of Detroit’s Civil Rights, Inclusion & Opportunity Department (CRIO) runs the Detroit Business Opportunity Program (DBOP). It processes applications, maintains an online register, and annually certifies and recertifies Detroit Based Businesses (DBB), Detroit Headquartered Businesses (DHB), Detroit Resident Businesses (DRB), Detroit Small Businesses (DSB), Detroit Based Micro Businesses (DBMB), Detroit Start-Ups (DSU), Minority-Owned Business Enterprises (MBE), and Woman-Owned Business Enterprises (WBE). Depending on the certification, businesses qualify for the following benefits: appreciation events, networking and capacity building opportunities, equalization credits, and visibility on the register. This dataset is updated weekly and is limited to certifications that were active as of the time when the dataset was last updated.The City of Detroit website provides more information about the Detroit Business Opportunity Program. A list the subset of 3-Digit NIGP Commodity codes that applicants may select to describe their business in the NIGP Code field is available from CRIO.

Vermont established its Certified Local Government (CLG) program in 1985 to better help local governments integrate historic preservation concerns with planning and decision making processes. This layer identifies communities that have achieved Certified Local Government status. Learn more about the Vermont Certified Local Government program. Learn more about the Vermont Certified Local Government grant.

The Soils datalayer has been automated from published soils surveys as provided on various media by the United States Department of Agriculture (USDA) Natural Resources Conservation Service (NRCS). All soils data released by MassGIS have been "SSURGO-certified," which means they have been reviewed and approved by the NRCS and meet all standards and requirements for inclusion in the national release of county-level digital soils data. Soil survey areas are roughly based on county boundaries.

The SSURGO-certified soils dataset is generally the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. The data include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. Data for survey areas were developed using various scale base maps: some areas at a 1:25,000 or 1:12,000 scale, or at larger scales where source materials (e.g. 1:5,000 MassGIS ortho imagery) were available. Details for a specific survey area are provided in the NRCS-produced metadata that are distributed with the spatial data.

The soil map units are linked to attributes in the National Soil Information System (NASIS) relational database, which gives the proportionate extent of the component soils and their properties.

At MassGIS the soils datalayer is stored in ArcSDE for Oracle as the statewide feature class SOILS_POLY. Two companion layers, SOILSPOT_PT and SOILSPOT_ARC, represent "special" or "ad hoc" features such as gravel pits, wet areas, bedrock escarpments and others. These layers display the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management.

The status for each survey area is stored in the statewide layer named SOILSTAT_POLY. See details in the Entity Attributes section.

The soils polygons were updated in August 2010 for new data for Plymouth. Also, the adjacent survey areas (Barnstable, Bristol North, Bristol South, and Norfolk-Suffolk) were replaced, as these were edited to edge-match with Plymouth. With the August 2010 update, soils data are available for all survey areas in the state except for Franklin, which is under development.